Bram van Ginneken

280 papers A* 1A 2B 26C 1Journal 168Unranked 80

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Abstract: Annotation-efficient 3D Body Composition Segmentation. Bildverarbeitung für die Medizin Lena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst K. Hahn, Bram van Ginneken, Alessa Hering
2026	—	`conf`	Abstract: Leveraging Open-source Language Models for Clinical Information Extraction - A Study in Resource-constrained Healthcare Settings. Bildverarbeitung für die Medizin Luc Builtjes, Joeran Bosma, Mathias Prokop, Bram van Ginneken, Alessa Hering
2026	J	`jnl`	Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language. CoRR Michelle Stegeman, Lena Philipp, Fennie van der Graaf, Marina D'Amato, Clément Grisi, Luc Builtjes, Joeran S. Bosma, Judith Lefkes, Rianne A. Weber, James A. Meakin, Thomas Koopman, Anne Mickan, Mathias Prokop, Ewoud J. Smit, Geert Litjens, Jeroen van der Laak, Bram van Ginneken, Maarten de Rooij, Henkjan Huisman, Colin Jacobs, Francesco Ciompi, Alessa Hering
2025	J	`jnl`	ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries. Medical Image Anal. María Sofía Sappia, Chris L. de Korte, Bram van Ginneken, Dean Ninalga, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Tanya Akumu, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Jorge Fabila, Anette Beverdam, Jeroen van Dillen, Chase Neff, Keelin Murphy
2025	J	`jnl`	Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs - A Multinational Study. CoRR Yin-Chih Chelsea Wang, Tsao-Lun Chen, Shankeeth Vinayahalingam, Tai-Hsien Wu, Chu Wei Chang, Hsuan-Hao Chan, Hung-Jen Wei, Mu-Hsiung Chen, Ching-Chang Ko, David Anssari Moin, Bram van Ginneken, Tong Xi, Hsiao-Cheng Tsai, Min-Huey Chen, Tzu-Ming Harry Hsu, Hye Chou
2025	J	`jnl`	Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations. CoRR Pierandrea Cancian, Simone Saitta, Xiaojin Gu, Rudolf L. M. van Herten, Thijs J. Luttikholt, Jos Thannhauser, Rick H. J. A. Volleberg, Ruben G. A. van der Waerden, Joske L. van der Zande, Clarisa I. Sánchez, Bram van Ginneken, Niels van Royen, Ivana Isgum
2025	J	`jnl`	Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration. CoRR Xuan Loc Pham, Mathias Prokop, Bram van Ginneken, Alessa Hering
2025	—	`conf`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. FAccT Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	J	`jnl`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. CoRR Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	J	`jnl`	Leveraging Open-Source Large Language Models for Clinical Information Extraction in Resource-Constrained Settings. CoRR Luc Builtjes, Joeran S. Bosma, Mathias Prokop, Bram van Ginneken, Alessa Hering
2025	J	`jnl`	Medical Imaging AI Competitions Lack Fairness. CoRR Annika Reinke, Evangelia Christodoulou, Sthuthi Sadananda, A. Emre Kavur, Khrystyna Faryna, Daan Schouten, Bennett A. Landman, Carole H. Sudre, Olivier Colliot, Nicholas Heller, Sophie Loizillon, Martin Maska, Maëlys Solal, Arya Yazdan Panah, Vilma Bozgo, Ömer Sümer, Siem de Jong, Sophie Fischer, Michal Kozubek, Tim Rädsch, Nadim Hammoud, Fruzsina Molnár-Gábor, Steven Hicks, Michael A. Riegler, Anindo Saha, Vajira Thambawita, Pål Halvorsen, Amelia Jiménez-Sánchez, Qingyang Yang, Veronika Cheplygina, Sabrina Bottazzi, Alexander Seitel, Spyridon Bakas, Alexandros Karargyris, Kiran Vaidhya Venkadesh, Bram van Ginneken, Lena Maier-Hein
2025	J	`jnl`	Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework. CoRR Sarah de Boer, Hartmut Häntze, Kiran Vaidhya Venkadesh, Myrthe A. D. Buser, Gabriel Efrain Humpire Mamani, Lina Xu, Lisa C. Adams, Jawed Nawabi, Keno K. Bressem, Bram van Ginneken, Mathias Prokop, Alessa Hering
2025	J	`jnl`	Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge. IEEE Trans. Medical Imaging Federico Bolelli, Luca Lumetti, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Arrigo Pellacani, Kevin Marchesini, Niels van Nistelrooij, Pieter van Lierop, Tong Xi, Yusheng Liu, Rui Xin, Tao Yang, Lisheng Wang, Haoshen Wang, Chenfan Xu, Zhiming Cui, Marek Wodzinski, Henning Müller, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Jae-Hwan Han, Wan Kim, Hong-Gi Ahn, Tomasz Szczepanski, Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Vicent Caselles Costa, Xavier Paolo Burgos-Artizzu, Ferran Prados Carrasco, Stefaan Berge', Bram van Ginneken, Alexandre Anesi, Costantino Grana
2025	J	`jnl`	The ULS23 challenge: A baseline model and benchmark dataset for 3D universal lesion segmentation in computed tomography. Medical Image Anal. M. J. J. de Grauw, Ernst Th. Scholten, Ewoud J. Smit, M. J. C. M. Rutten, Mathias Prokop, Bram van Ginneken, Alessa Hering
2025	J	`jnl`	TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration. CoRR Xuan Loc Pham, Gwendolyn Vuurberg, Marjan Doppen, Joey Roosen, Tip Stille, Thi Quynh Ha, Thuy Duong Quach, Quoc Vu Dang, Manh Ha Luu, Ewoud J. Smit, Hong Son Mai, Mattias P. Heinrich, Bram van Ginneken, Mathias Prokop, Alessa Hering
2024	J	`jnl`	AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2024	—	`conf`	Annotation-Efficient Strategy for Segmentation of 3D Body Composition. MIDL Lena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst Karl Hahn, Bram van Ginneken, Alessa Hering
2024	—	`conf`	Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report Impressions. MIDL Luc Builtjes, Monique Brink, Souraya Belkhir, Bram van Ginneken, Alessa Hering
2024	J	`jnl`	MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences. CoRR Hartmut Häntze, Lina Xu, Felix J. Dorfner, Leonhard Donle, Daniel Truhn, Hugo J. W. L. Aerts, Mathias Prokop, Bram van Ginneken, Alessa Hering, Lisa C. Adams, Keno K. Bressem
2024	J	`jnl`	Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Trans. Medical Imaging Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy
2024	J	`jnl`	Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy
2024	J	`jnl`	Structure and position-aware graph neural network for airway labeling. Medical Image Anal. Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2024	J	`jnl`	The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
2024	J	`jnl`	The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography. CoRR Max De Grauw, Ernst Th. Scholten, Ewoud J. Smit, Matthieu Rutten, Mathias Prokop, Bram van Ginneken, Alessa Hering
2024	J	`jnl`	Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography. Medical Image Anal. Coen de Vente, Bram van Ginneken, Carel B. Hoyng, Caroline C. W. Klaver, Clara I. Sánchez
2023	J	`jnl`	AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2023	J	`jnl`	Continual learning strategies for cancer-independent detection of lymph node metastases. Medical Image Anal. Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Michel Kok, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2023	J	`jnl`	Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients. Medical Image Anal. Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2023	J	`jnl`	Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks. CoRR Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Dirk Jan Slebos, Bram van Ginneken
2023	J	`jnl`	FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network. IEEE Trans. Medical Imaging Erdi Calli, Bram van Ginneken, Ecem Sogancioglu, Keelin Murphy
2023	J	`jnl`	Kidney abnormality segmentation in thorax-abdomen CT scans. CoRR Gabriel Efrain Humpire Mamani, Nikolas Lessmann, Ernst Th. Scholten, Mathias Prokop, Colin Jacobs, Bram van Ginneken
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023	J	`jnl`	Lumbar spine segmentation in MR images: a dataset and a public benchmark. CoRR Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann
2023	—	`conf`	SimpleRad: Patient-Friendly Dutch Radiology Reports. ECIR (3) Koen Dercksen, Arjen P. de Vries, Bram van Ginneken
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2023	J	`jnl`	The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
2023	J	`jnl`	Transfer learning from a sparsely annotated dataset of 3D medical images. CoRR Gabriel Efrain Humpire Mamani, Colin Jacobs, Mathias Prokop, Bram van Ginneken, Nikolas Lessmann
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2022	J	`jnl`	Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. IEEE Trans. Artif. Intell. Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken
2022	J	`jnl`	Domain adaptation strategies for cancer-independent detection of lymph node metastases. CoRR Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2022	J	`jnl`	Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection. Comput. Biol. Medicine Lisa C. Adams, Marcus R. Makowski, Günther Engel, Maximilian Rattunde, Felix Busch, Patrick Asbach, Stefan Markus Niehues, Shankeeth Vinayahalingam, Bram van Ginneken, Geert Litjens, Keno K. Bressem
2022	J	`jnl`	Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow. IEEE Access Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn, Bram van Ginneken, Hans Meine
2022	J	`jnl`	Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images. IEEE Trans. Pattern Anal. Mach. Intell. Hans Pinckaers, Bram van Ginneken, Geert Litjens
2022	J	`jnl`	Structure and position-aware graph neural network for airway labeling. CoRR Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2021	J	`jnl`	A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2021	J	`jnl`	Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne
2021	J	`jnl`	Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation. CoRR Khrystyna Faryna, Kevin Koschmieder, Marcella M. Paul, Thomas L. A. van den Heuvel, Anke W. van der Eerden, Rashindra Manniesing, Bram van Ginneken
2021	J	`jnl`	Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. Comput. Methods Programs Biomed. Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen
2021	J	`jnl`	Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning. CoRR Ecem Sogancioglu, Keelin Murphy, Ernst Th. Scholten, Luuk H. Boulogne, Mathias Prokop, Bram van Ginneken
2021	J	`jnl`	CNN-based lung CT registration with multiple anatomical constraints. Medical Image Anal. Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
2021	J	`jnl`	Deep Clustering Activation Maps for Emphysema Subtyping. CoRR Weiyi Xie, Colin Jacobs, Bram van Ginneken
2021	J	`jnl`	Deep Learning for Chest X-ray Analysis: A Survey. CoRR Ecem Sogancioglu, Erdi Çalli, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy
2021	J	`jnl`	Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19. CoRR Erdi Çalli, Keelin Murphy, Steef Kurstjens, Tijs Samson, Robert Herpers, Henk Smits, Matthieu Rutten, Bram van Ginneken
2021	J	`jnl`	Deep learning for chest X-ray analysis: A survey. Medical Image Anal. Erdi Çalli, Ecem Sogancioglu, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy
2021	J	`jnl`	Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients. CoRR Weiyi Xie, Colin Jacobs, Bram van Ginneken
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2021	J	`jnl`	Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow. CoRR Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn, Bram van Ginneken, Hans Meine
2021	J	`jnl`	The Medical Segmentation Decathlon. CoRR Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
2020	J	`jnl`	A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020	J	`jnl`	Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta
2020	J	`jnl`	Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. CoRR Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen
2020	J	`jnl`	BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman
2020	J	`jnl`	Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification. IEEE Access Ecem Sogancioglu, Keelin Murphy, Erdi Calli, Ernst Th. Scholten, Steven Schalekamp, Bram van Ginneken
2020	J	`jnl`	Constraining Volume Change in Learned Image Registration for Lung CTs. CoRR Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken
2020	J	`jnl`	Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients. CoRR Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2020	—	`conf`	Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations. Computer-Aided Diagnosis Hidir Cem Altun, Grzegorz Chlebus, Colin Jacobs, Hans Meine, Bram van Ginneken, Horst K. Hahn
2020	J	`jnl`	GANs for medical image analysis. Artif. Intell. Medicine Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
2020	J	`jnl`	Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning. Medical Image Anal. Midas Meijs, Frederick J. A. Meijer, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2020	J	`jnl`	Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study. CoRR Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken
2020	J	`jnl`	Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images. IEEE Trans. Medical Imaging Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez
2020	J	`jnl`	Random smooth gray value transformations for cross modality learning with gray value invariant networks. CoRR Nikolas Lessmann, Bram van Ginneken
2020	J	`jnl`	Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans. IEEE Trans. Medical Imaging Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2020	J	`jnl`	Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-Contrast CT From Spatiotemporal 4D CT. IEEE Trans. Medical Imaging Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2019	J	`jnl`	A deep learning model for segmentation of geographic atrophy to study its long-term natural history. CoRR Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo, Timo Verzijden, Paul Mitchell, Carel B. Hoyng, Bram van Ginneken, Caroline C. W. Klaver, Clara I. Sánchez
2019	J	`jnl`	A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso
2019	J	`jnl`	Automated Gleason Grading of Prostate Biopsies using Deep Learning. CoRR Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens
2019	J	`jnl`	BIAS: Transparent reporting of biomedical image analysis challenges. CoRR Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman
2019	J	`jnl`	Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system. CoRR Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst Th. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken
2019	C	`conf`	Deep Learning in Image Diagnostics: Recent Results and Outlook. ICPRAM Bram van Ginneken
2019	—	`conf`	Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography. MIDL Bart Liefers, Cristina González-Gonzalo, Caroline Klaver, Bram van Ginneken, Clara I. Sánchez
2019	J	`jnl`	Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration. CoRR Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez, Inés Contreras, Yara T. E. Lechanteur, Artin Domanian, Bram van Ginneken, Clara I. Sánchez
2019	J	`jnl`	FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis. CoRR Erdi Çalli, Keelin Murphy, Ecem Sogancioglu, Bram van Ginneken
2019	J	`jnl`	From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2019	J	`jnl`	Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans. CoRR Max Argus, Cornelia Schaefer-Prokop, David A. Lynch, Bram van Ginneken
2019	—	`conf`	Handling label noise through model confidence and uncertainty: application to chest radiograph classification. Computer-Aided Diagnosis Erdi Calli, Ecem Sogancioglu, Ernst Th. Scholten, Keelin Murphy, Bram van Ginneken
2019	J	`jnl`	Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT. IEEE Access Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2019	J	`jnl`	Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks. CoRR Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez
2019	J	`jnl`	Iterative fully convolutional neural networks for automatic vertebra segmentation and identification. Medical Image Anal. Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum
2019	J	`jnl`	MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks. J. Open Source Softw. Sil C. van de Leemput, Jonas Teuwen, Bram van Ginneken, Rashindra Manniesing
2019	J	`jnl`	Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks. IEEE Access Sil C. van de Leemput, Midas Meijs, Ajay Patel, Frederick J. A. Meijer, Bram van Ginneken, Rashindra Manniesing
2019	J	`jnl`	Streaming convolutional neural networks for end-to-end learning with multi-megapixel images. CoRR Hans Pinckaers, Bram van Ginneken, Geert Litjens
2019	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). CoRR Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze
2019	—	`conf`	mlVIRNET: Multilevel Variational Image Registration Network. MICCAI (6) Alessa Hering, Bram van Ginneken, Stefan Heldmann
2019	J	`jnl`	mlVIRNET: Multilevel Variational Image Registration Network. CoRR Alessa Hering, Bram van Ginneken, Stefan Heldmann
2018	J	`jnl`	Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Trans. Medical Imaging Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
2018	J	`jnl`	Chest X-Rays Image Inpainting with Context Encoders. CoRR Davide Belli, Shi Hu, Ecem Sogancioglu, Bram van Ginneken
2018	J	`jnl`	Chest X-ray Inpainting with Deep Generative Models. CoRR Ecem Sogancioglu, Shi Hu, Davide Belli, Bram van Ginneken
2018	J	`jnl`	Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. CoRR Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina A. Hulsbergen van de Kaa, Geert Litjens
2018	J	`jnl`	GANs for Medical Image Analysis. CoRR Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
2018	J	`jnl`	Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
2018	B	`conf`	Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images. Image Processing Nikolas Leßmann, Bram van Ginneken, Ivana Isgum
2018	J	`jnl`	Iterative fully convolutional neural networks for automatic vertebra segmentation. CoRR Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum
2018	J	`jnl`	Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR. CoRR Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
2018	B	`conf`	Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. Image Processing Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
2018	—	`conf`	Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography. RAMBO+BIA+TIA@MICCAI Guilherme Aresta, Teresa Araújo, Colin Jacobs, Bram van Ginneken, António Cunha, Isabel Ramos, Aurélio Campilho
2018	J	`jnl`	iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. CoRR Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho
2017	J	`jnl`	A Survey on Deep Learning in Medical Image Analysis. CoRR Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez
2017	J	`jnl`	A survey on deep learning in medical image analysis. Medical Image Anal. Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez
2017	J	`jnl`	Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. CoRR Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
2017	—	`conf`	Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network. Computer-Aided Diagnosis Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2017	—	`conf`	Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries. BIVPCS/POCUS@MICCAI Thomas L. A. van den Heuvel, Hezkiel Petros, Stefano Santini, Chris L. de Korte, Bram van Ginneken
2017	J	`jnl`	Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images. CoRR Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2017	—	`conf`	Comparison of different methods for tissue segmentation in histopathological whole-slide images. ISBI Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2017	J	`jnl`	Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. CoRR Babak Ehteshami Bejnordi, Guido C. A. Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak
2017	B	`conf`	Fovea detection in optical coherence tomography using convolutional neural networks. Image Processing Bart Liefers, Freerk G. Venhuizen, Thomas Theelen, Carel B. Hoyng, Bram van Ginneken, Clara I. Sánchez
2017	J	`jnl`	Improving airway segmentation in computed tomography using leak detection with convolutional networks. Medical Image Anal. Jean-Paul Charbonnier, Eva M. van Rikxoort, Arnaud A. A. Setio, Cornelia Schaefer-Prokop, Bram van Ginneken, Francesco Ciompi
2017	J	`jnl`	Large scale deep learning for computer aided detection of mammographic lesions. Medical Image Anal. Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer
2017	—	`conf`	Organ detection in thorax abdomen CT using multi-label convolutional neural networks. Computer-Aided Diagnosis Gabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, Colin Jacobs
2017	J	`jnl`	Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients. Medical Image Anal. Ajay Patel, Bram van Ginneken, Frederick J. A. Meijer, Ewoud J. van Dijk, Mathias Prokop, Rashindra Manniesing
2017	—	`conf`	The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
2017	J	`jnl`	The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
2017	—	`conf`	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
2017	J	`jnl`	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
2016	J	`jnl`	Automatic detection of pleural effusion in chest radiographs. Medical Image Anal. Pragnya Maduskar, Rick H. H. M. Philipsen, Jaime Melendez, Ernst Th. Scholten, Duncan Chanda, Helen Ayles, Clara I. Sánchez, Bram van Ginneken
2016	J	`jnl`	Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases. IEEE J. Biomed. Health Informatics José Ramos, Thessa T. J. P. Kockelkorn, Isabel Ramos, Rui Ramos, Jan C. Grutters, Max A. Viergever, Bram van Ginneken, Aurélio J. C. Campilho
2016	J	`jnl`	Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin. CoRR Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
2016	—	`conf`	Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Computer-Aided Diagnosis Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken
2016	J	`jnl`	Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images. IEEE Trans. Medical Imaging Mark J. J. P. van Grinsven, Bram van Ginneken, Carel B. Hoyng, Thomas Theelen, Clara I. Sánchez
2016	J	`jnl`	Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Trans. Medical Imaging Hayit Greenspan, Bram van Ginneken, Ronald M. Summers
2016	J	`jnl`	Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. CoRR Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge van Uden, Clara I. Sánchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
2016	—	`conf`	Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation. ISBI Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, I. W. M. van Uden, Frank-Erik de Leeuw, Elena Marchiori, Bram van Ginneken, Bram Platel
2016	J	`jnl`	On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis. IEEE Trans. Medical Imaging Jaime Melendez, Bram van Ginneken, Pragnya Maduskar, Rick H. H. M. Philipsen, Helen Ayles, Clara I. Sánchez
2016	J	`jnl`	Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures. Frontiers ICT Thessa T. J. P. Kockelkorn, Rui Ramos, José Ramos, Pim A. de Jong, Cornelia Schaefer-Prokop, Rianne Wittenberg, Audrey M. Tiehuis, Jan C. Grutters, Max A. Viergever, Bram van Ginneken
2016	J	`jnl`	Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks. IEEE Trans. Medical Imaging Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, Paul K. Gerke, Colin Jacobs, Sarah J. van Riel, Mathilde Marie Winkler Wille, Matiullah Naqibullah, Clara I. Sánchez, Bram van Ginneken
2016	J	`jnl`	Towards automatic pulmonary nodule management in lung cancer screening with deep learning. CoRR Francesco Ciompi, Kaman Chung, Sarah J. van Riel, Arnaud Arindra Adiyoso Setio, Paul K. Gerke, Colin Jacobs, Ernst Th. Scholten, Cornelia Schaefer-Prokop, Mathilde M. W. Wille, Alfonso Marchiano, Ugo Pastorino, Mathias Prokop, Bram van Ginneken
2016	J	`jnl`	Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. CoRR Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, Colin Jacobs
2015	J	`jnl`	A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays. IEEE Trans. Medical Imaging Jaime Melendez, Bram van Ginneken, Pragnya Maduskar, Rick H. H. M. Philipsen, Klaus Reither, Marianne Breuninger, Ifedayo M. O. Adetifa, Rahmatulai Maane, Helen Ayles, Clara I. Sánchez
2015	—	`conf`	Automated age-related macular degeneration classification in OCT using unsupervised feature learning. Computer-Aided Diagnosis Freerk G. Venhuizen, Bram van Ginneken, Bart Bloemen, Mark J. J. P. van Grinsven, Rick H. H. M. Philipsen, Carel B. Hoyng, Thomas Theelen, Clara I. Sánchez
2015	J	`jnl`	Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis. IEEE Trans. Medical Imaging Laurens Hogeweg, Clara I. Sánchez, Pragnya Maduskar, Rick H. H. M. Philipsen, Alistair Story, Rodney Dawson, Grant Theron, Keertan Dheda, Liesbeth Peters-Bax, Bram van Ginneken
2015	J	`jnl`	Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box. Medical Image Anal. Francesco Ciompi, Bartjan de Hoop, Sarah J. van Riel, Kaman Chung, Ernst Th. Scholten, Matthijs Oudkerk, Pim A. de Jong, Mathias Prokop, Bram van Ginneken
2015	—	`conf`	Automatic detection of spiculation of pulmonary nodules in computed tomography images. Computer-Aided Diagnosis Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Sarah J. van Riel, Mathilde M. W. Wille, Mathias Prokop, Bram van Ginneken
2015	J	`jnl`	Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images. IEEE Trans. Medical Imaging Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Mathilde M. W. Wille, Pim A. de Jong, Mathias Prokop, Bram van Ginneken
2015	—	`conf`	Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model. Computer-Aided Diagnosis Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi, Sarah J. van Riel, Mathilde Marie Winkler Wille, Asger Dirksen, Eva M. van Rikxoort, Bram van Ginneken
2015	J	`jnl`	Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography. IEEE Trans. Medical Imaging Rick H. H. M. Philipsen, Pragnya Maduskar, Laurens Hogeweg, Jaime Melendez, Clara I. Sánchez, Bram van Ginneken
2015	—	`conf`	Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans. ISBI Bram van Ginneken, Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi
2014	—	`conf`	Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis. Computer-Aided Diagnosis Colin Jacobs, S. H. T. T. Opdam, Eva M. van Rikxoort, O. M. Mets, J. Rooyackers, Pim A. de Jong, Mathias Prokop, Bram van Ginneken
2014	J	`jnl`	Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. Medical Image Anal. Colin Jacobs, Eva M. van Rikxoort, Thorsten Twellmann, Ernst Th. Scholten, Pim A. de Jong, Jan-Martin Kuhnigk, Matthijs Oudkerk, Harry J. de Koning, Mathias Prokop, Cornelia Schaefer-Prokop, Bram van Ginneken
2014	J	`jnl`	DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration. Medical Image Anal. Sascha E. A. Muenzing, Bram van Ginneken, Max A. Viergever, Josien P. W. Pluim
2014	—	`conf`	Effect of image variation on computer-aided detection systems. Computer-Aided Diagnosis S. P. Rabbani, Pragnya Maduskar, Rick H. H. M. Philipsen, Laurens Hogeweg, Bram van Ginneken
2014	J	`jnl`	Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. Geert Litjens, Robert Toth, Wendy J. M. van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenaël Guillard, Neil Birbeck, Jindang Zhang, Robin Strand, Filip Malmberg, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi
2014	—	`conf`	Multiple-instance learning for computer-aided detection of tuberculosis. Computer-Aided Diagnosis Jaime Melendez, Clara I. Sánchez, Rick H. H. M. Philipsen, Pragnya Maduskar, Bram van Ginneken
2014	—	`conf`	Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans. STIA Adriënne M. Mendrik, Evert-Jan Vonken, Theo Witkamp, Mathias Prokop, Bram van Ginneken, Max A. Viergever
2013	—	`conf`	A Bag of Words approach for discriminating between retinal images containing exudates or drusen. ISBI Mark J. J. P. van Grinsven, Arunava Chakravarty, Jayanthi Sivaswamy, Thomas Theelen, Bram van Ginneken, Clara I. Sánchez
2013	B	`conf`	A hardware implementation of a levelset algorithm for carotid lumen segmentation in CTA. Image Processing André van der Avoird, Ning Lin, Bram van Ginneken, Rashindra Manniesing
2013	B	`conf`	A pattern recognition framework for vessel segmentation in 4D CT of the brain. Image Processing Jan-Jurre Mordang, Marcel T. H. Oei, Rieneke van den Boom, Ewoud J. Smit, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2013	—	`conf`	Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs. Computer-Aided Diagnosis Pragnya Maduskar, Laurens Hogeweg, Rick Philipsen, Bram van Ginneken
2013	J	`jnl`	Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi. IEEE Trans. Medical Imaging Bianca Lassen, Eva M. van Rikxoort, Michael Schmidt, Sjoerd Kerkstra, Bram van Ginneken, Jan-Martin Kuhnigk
2013	—	`conf`	Automatic age-related macular degeneration detection and staging. Computer-Aided Diagnosis Mark J. J. P. van Grinsven, Yara T. E. Lechanteur, Johannes P. H. van de Ven, Bram van Ginneken, Thomas Theelen, Clara I. Sánchez
2013	—	`conf`	Improved texture analysis for automatic detection of tuberculosis (TB) on chest radiographs with bone suppression images. Computer-Aided Diagnosis Pragnya Maduskar, Laurens Hogeweg, Rick Philipsen, Steven Schalekamp, Bram van Ginneken
2013	—	`conf`	Normalization of CT scans reconstructed with different kernels to reduce variability in emphysema measurements. Computer-Aided Diagnosis Leticia Gallardo-Estrella, Bram van Ginneken, Eva M. van Rikxoort
2013	—	`conf`	Normalization of chest radiographs. Computer-Aided Diagnosis Rick H. H. M. Philipsen, Pragnya Maduskar, Laurens Hogeweg, Bram van Ginneken
2013	J	`jnl`	Suppression of Translucent Elongated Structures: Applications in Chest Radiography. IEEE Trans. Medical Imaging Laurens Hogeweg, Clara I. Sánchez, Bram van Ginneken
2012	J	`jnl`	Automatic Coronary Calcium Scoring in Low-Dose Chest Computed Tomography. IEEE Trans. Medical Imaging Ivana Isgum, Mathias Prokop, Meindert Niemeijer, Max A. Viergever, Bram van Ginneken
2012	—	`conf`	Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans. Computer-Aided Diagnosis Eva M. van Rikxoort, Pim A. de Jong, O. M. Mets, Bram van Ginneken
2012	B	`conf`	Brain tissue segmentation in 4D CT using voxel classification. Image Processing Rieneke van den Boom, Marcel T. H. Oei, Sven Lafebre, Luuk J. Oostveen, Frederick J. A. Meijer, Stefan C. A. Steens, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2012	J	`jnl`	Clavicle segmentation in chest radiographs. Medical Image Anal. Laurens Hogeweg, Clara I. Sánchez, Pim A. de Jong, Pragnya Maduskar, Bram van Ginneken
2012	J	`jnl`	Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans. Medical Image Anal. Clara I. Sánchez, Meindert Niemeijer, Ivana Isgum, Alina V. Dumitrescu, Maria S. A. Suttorp-Schulten, Michael D. Abràmoff, Bram van Ginneken
2012	—	`conf`	DIRBoost: An algorithm for boosting deformable image registration. ISBI Sascha E. A. Muenzing, Bram van Ginneken, Josien P. W. Pluim
2012	J	`jnl`	Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging Pechin Lo, Bram van Ginneken, Joseph M. Reinhardt, Tarunashree Yavarna, Pim A. de Jong, Benjamin Irving, Catalin I. Fetita, Margarete Ortner, Romulo Pinho, Jan Sijbers, Marco Feuerstein, Anna Fabijanska, Christian Bauer, Reinhard Beichel, Carlos S. Mendoza, Rafael Wiemker, Jaesung Lee, Anthony P. Reeves, Silvia Born, Oliver Weinheimer, Eva M. van Rikxoort, Juerg Tschirren, Kensaku Mori, Benjamin Odry, David P. Naidich, Ieneke Hartmann, Eric A. Hoffman, Mathias Prokop, Jesper Johannes Holst Pedersen, Marleen de Bruijne
2012	B	`conf`	Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study. ICPR Thessa T. J. P. Kockelkorn, Clara I. Sánchez, Jan C. Grutters, Rui Ramos, Pim A. de Jong, Max A. Viergever, José Ramos, Cornelia Schaefer-Prokop, Bram van Ginneken
2012	—	`ed.`	Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, California, United States, 4-9 February 2012 Computer-Aided Diagnosis Bram van Ginneken, Carol L. Novak
2012	—	`conf`	On Combining Algorithms for Deformable Image Registration. WBIR Sascha E. A. Muenzing, Bram van Ginneken, Josien P. W. Pluim
2012	—	`conf`	Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography. Digital Mammography / IWDM Jaime Melendez, Clara I. Sánchez, Rianne Hupse, Bram van Ginneken, Nico Karssemeijer
2012	—	`conf`	Supervised Content Based Image Retrieval Using Radiology Reports. ICIAR (2) José Ramos, Thessa T. J. P. Kockelkorn, Bram van Ginneken, Max A. Viergever, Rui Ramos, Aurélio J. C. Campilho
2012	J	`jnl`	Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration. Medical Image Anal. Sascha E. A. Muenzing, Bram van Ginneken, Keelin Murphy, Josien P. W. Pluim
2011	J	`jnl`	Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs. IEEE Trans. Medical Imaging Meindert Niemeijer, Xiayu Xu, Alina V. Dumitrescu, Priya Gupta, Bram van Ginneken, James C. Folk, Michael D. Abràmoff
2011	—	`conf`	Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. MICCAI (3) Colin Jacobs, Clara I. Sánchez, Stefan C. Saur, Thorsten Twellmann, Pim A. de Jong, Bram van Ginneken
2011	J	`jnl`	Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim
2011	—	`ed.`	Medical Imaging 2011: Computer-Aided Diagnosis, Lake Buena Vista (Orlando), Florida, United States, 12-17 February 2011 Computer-Aided Diagnosis Ronald M. Summers, Bram van Ginneken
2011	J	`jnl`	On Combining Computer-Aided Detection Systems. IEEE Trans. Medical Imaging Meindert Niemeijer, Marco Loog, Michael D. Abràmoff, Max A. Viergever, Mathias Prokop, Bram van Ginneken
2011	J	`jnl`	Semi-automatic construction of reference standards for evaluation of image registration. Medical Image Anal. Keelin Murphy, Bram van Ginneken, Stefan Klein, Marius Staring, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim
2010	—	`conf`	Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening. MICCAI (3) Clara I. Sánchez, Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken
2010	J	`jnl`	Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus. Medical Image Anal. Eva M. van Rikxoort, Ivana Isgum, Yulia Arzhaeva, Marius Staring, Stefan Klein, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken
2010	J	`jnl`	Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures. IEEE Trans. Medical Imaging Eva M. van Rikxoort, Mathias Prokop, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken
2010	—	`conf`	Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans. Computer-Aided Diagnosis Ivana Isgum, Mathias Prokop, Peter C. Jacobs, Martijn J. Gondrie, Willem P. Th. M. Mali, Max A. Viergever, Bram van Ginneken
2010	—	`conf`	Automatic determination of the artery vein ratio in retinal images. Computer-Aided Diagnosis Meindert Niemeijer, Bram van Ginneken, Michael D. Abràmoff
2010	—	`conf`	Automatic segmentation of pulmonary vasculature in thoracic CT scans with local thresholding and airway wall removal. ISBI Evelien van Dongen, Bram van Ginneken
2010	J	`jnl`	Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. Medical Image Anal. Bram van Ginneken, Samuel G. Armato III, Bartjan de Hoop, Saskia van Amelsvoort-van de Vorst, Thomas Duindam, Meindert Niemeijer, Keelin Murphy, Arnold M. R. Schilham, Alessandra Retico, Maria Evelina Fantacci, Niccolò Camarlinghi, Francesco Bagagli, Ilaria Gori, Takeshi Hara, Hiroshi Fujita, Gianfranco Gargano, Roberto Bellotti, Sabina Sonia Tangaro, Lourdes Bolanos, Francesco De Carlo, Piergiorgio Cerello, Sorin Cristian Cheran, Ernesto Lopez Torres, Mathias Prokop
2010	—	`conf`	Computer-aided diagnosis in chest imaging: how to improve performance and avoid reinventing the wheel. ISBI Bram van Ginneken
2010	—	`conf`	Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs. MICCAI (3) Laurens Hogeweg, Christian Mol, Pim A. de Jong, Rodney Dawson, Helen Ayles, Bram van Ginneken
2010	—	`conf`	Improving hard exudate detection in retinal images through a combination of local and contextual information. ISBI Clara I. Sánchez, Meindert Niemeijer, Maria S. A. Suttorp-Schulten, Michael Abramoff, Bram van Ginneken
2010	—	`conf`	Interactive annotation of textures in thoracic CT scans. Computer-Aided Diagnosis Thessa T. J. P. Kockelkorn, Pim A. de Jong, Hester A. Gietema, Jan C. Grutters, Mathias Prokop, Bram van Ginneken
2010	—	`conf`	Interactive lung segmentation in ct scans with severe abnormalities. ISBI Thessa T. J. P. Kockelkorn, Eva M. van Rikxoort, Jan C. Grutters, Bram van Ginneken
2010	—	`conf`	Interactively learning a patient specific K-nearest neighbor classifier based on confidence weighted samples. ISBI Eva M. van Rikxoort, Jonathan G. Goldin, Bram van Ginneken, Maya Galperin-Aizenberg, Chiayi Ni, Matthew S. Brown
2010	B	`conf`	Noise filtering in thin-slice 4D cerebral CT perfusion scans. Image Processing Adriënne Mendrik, Evert-Jan Vonken, Jan-Willem Dankbaar, Mathias Prokop, Bram van Ginneken
2010	J	`jnl`	Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs. IEEE Trans. Medical Imaging Meindert Niemeijer, Bram van Ginneken, Michael J. Cree, Atsushi Mizutani, Gwenolé Quellec, Clara I. Sánchez, Bob Zhang, Roberto Hornero, Mathieu Lamard, Chisako Muramatsu, Xiangqian Wu, Guy Cazuguel, Jane You, Agustín Mayo, Qin Li, Yuji Hatanaka, Béatrice Cochener, Christian Roux, Fakhri Karray, María García, Hiroshi Fujita, Michael D. Abràmoff
2010	—	`conf`	Rib suppression in chest radiographs to improve classification of textural abnormalities. Computer-Aided Diagnosis Laurens E. Hogeweg, Christian Mol, Pim A. de Jong, Bram van Ginneken
2010	—	`conf`	Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates. MICCAI (2) Geert J. S. Litjens, Laurens Hogeweg, Arnold M. R. Schilham, Pim A. de Jong, Max A. Viergever, Bram van Ginneken
2010	—	`conf`	Vessel tree extraction using locally optimal paths. ISBI Pechin Lo, Bram van Ginneken, Marleen de Bruijne
2009	J	`jnl`	A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification. Medical Image Anal. Keelin Murphy, Bram van Ginneken, Arnold M. R. Schilham, Bartjan de Hoop, H. A. Gietema, Mathias Prokop
2009	—	`conf`	Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images. Computer-Aided Diagnosis Clara I. Sánchez, Meindert Niemeijer, Thessa T. J. P. Kockelkorn, Michael D. Abràmoff, Bram van Ginneken
2009	J	`jnl`	Automatic Segmentation of Pulmonary Segments From Volumetric Chest CT Scans. IEEE Trans. Medical Imaging Eva M. van Rikxoort, Bartjan de Hoop, Saskia van de Vorst, Mathias Prokop, Bram van Ginneken
2009	—	`conf`	Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data. MICCAI (1) Eva M. van Rikxoort, Mathias Prokop, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken
2009	—	`conf`	Automatic classification of retinal vessels into arteries and veins. Computer-Aided Diagnosis Meindert Niemeijer, Bram van Ginneken, Michael D. Abràmoff
2009	B	`conf`	Automatic detection of registration errors for quality assessment in medical image registration. Image Processing Sascha E. A. Muenzing, Keelin Murphy, Bram van Ginneken, Josien P. W. Pluim
2009	J	`jnl`	Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf
2009	J	`jnl`	Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs. Pattern Recognit. Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken
2009	—	`conf`	Evaluation of 4D-CT Lung Registration. MICCAI (1) Sven Kabus, Tobias Klinder, Keelin Murphy, Bram van Ginneken, Cristian Lorenz, Josien P. W. Pluim
2009	J	`jnl`	Fast detection of the optic disc and fovea in color fundus photographs. Medical Image Anal. Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken
2009	—	`conf`	Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis. MICCAI (1) Yulia Arzhaeva, Laurens Hogeweg, Pim A. de Jong, Max A. Viergever, Bram van Ginneken
2009	J	`jnl`	Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs. IEEE Trans. Medical Imaging Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken
2009	J	`jnl`	Multi-Atlas-Based Segmentation With Local Decision Fusion - Application to Cardiac and Aortic Segmentation in CT Scans. IEEE Trans. Medical Imaging Ivana Isgum, Marius Staring, Annemarieke Rutten, Mathias Prokop, Max A. Viergever, Bram van Ginneken
2009	J	`jnl`	Noise Reduction in Computed Tomography Scans Using 3-D Anisotropic Hybrid Diffusion With Continuous Switch. IEEE Trans. Medical Imaging Adriënne Mendrik, Evert-Jan Vonken, Annemarieke Rutten, Max A. Viergever, Bram van Ginneken
2009	B	`conf`	Registration of 3D spectral OCT volumes using 3D SIFT feature point matching. Image Processing Meindert Niemeijer, Mona Kathryn Garvin, Kyungmoo Lee, Bram van Ginneken, Michael D. Abràmoff, Milan Sonka
2009	B	`conf`	Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms. Image Processing Adriënne Mendrik, Evert-Jan Vonken, Annet Waaijer, Ewoud J. Smit, Mathias Prokop, Bram van Ginneken
2008	B	`conf`	Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans. Image Processing Eva M. van Rikxoort, Ivana Isgum, Marius Staring, Stefan Klein, Bram van Ginneken
2008	—	`conf`	Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans. Computer-Aided Diagnosis Bram van Ginneken, Andre Tan, Keelin Murphy, Bart-Jan de Hoop, Mathias Prokop
2008	B	`conf`	Integrating local voxel classification and global shape models for medical image segmentation. Image Processing Eva M. van Rikxoort, Marleen de Bruijne, Bram van Ginneken
2008	—	`conf`	Robust Segmentation and Anatomical Labeling of the Airway Tree from Thoracic CT Scans. MICCAI (1) Bram van Ginneken, Wouter Baggerman, Eva M. van Rikxoort
2008	—	`conf`	Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration. MICCAI (2) Keelin Murphy, Bram van Ginneken, Josien P. W. Pluim, Stefan Klein, Marius Staring
2008	J	`jnl`	Supervised Enhancement Filters: Application to Fissure Detection in Chest CT Scans. IEEE Trans. Medical Imaging Eva M. van Rikxoort, Bram van Ginneken, M. A. J. Klik, Mathias Prokop
2008	B	`conf`	Vessel segmentation in 3D spectral OCT scans of the retina. Image Processing Meindert Niemeijer, Mona Kathryn Garvin, Bram van Ginneken, Milan Sonka, Michael D. Abràmoff
2007	—	`conf`	Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features. Computer-Aided Diagnosis Keelin Murphy, Arnold M. R. Schilham, Hester A. Gietema, Mathias Prokop, Bram van Ginneken
2007	J	`jnl`	Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data. Medical Image Anal. Joes Staal, Bram van Ginneken, Max A. Viergever
2007	J	`jnl`	Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs. IEEE Trans. Medical Imaging Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken
2006	J	`jnl`	A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database. Medical Image Anal. Arnold M. R. Schilham, Bram van Ginneken, Marco Loog
2006	B	`conf`	A pattern recognition approach to enhancing structures in 3D CT data. Image Processing Eva M. van Rikxoort, Bram van Ginneken
2006	—	`conf`	Bony Structure Suppression in Chest Radiographs. CVAMIA Marco Loog, Bram van Ginneken
2006	J	`jnl`	Computer analysis of computed tomography scans of the lung: a survey. IEEE Trans. Medical Imaging Ingrid Sluimer, Arnold M. R. Schilham, Mathias Prokop, Bram van Ginneken
2006	J	`jnl`	Filter learning: Application to suppression of bony structures from chest radiographs. Medical Image Anal. Marco Loog, Bram van Ginneken, Arnold M. R. Schilham
2006	—	`conf`	Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans. ISBI Adriënne Mendrik, Evert-Jan Vonken, Arnold M. R. Schilham, Max A. Viergever, Bram van Ginneken
2006	—	`conf`	Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs. ICPR (1) Yulia Arzhaeva, Bram van Ginneken, David M. J. Tax
2006	—	`conf`	Image Denoising with k-nearest Neighbor and Support Vector Regression. ICPR (3) Bram van Ginneken, Adriënne Mendrik
2006	J	`jnl`	Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening. Medical Image Anal. Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken
2006	—	`conf`	Improved classification of pulmonary nodules by automated detection of benign subpleural lymph nodes. ISBI M. A. J. Klik, Eva M. van Rikxoort, Joost F. Peters, H. A. Gietema, Mathias Prokop, Bram van Ginneken
2006	B	`conf`	Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers. Image Processing Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken
2006	J	`jnl`	Local noise weighted filtering for emphysema scoring of low-dose CT images. IEEE Trans. Medical Imaging Arnold M. R. Schilham, Bram van Ginneken, H. A. Gietema, Mathias Prokop
2006	J	`jnl`	Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database. Medical Image Anal. Bram van Ginneken, Mikkel B. Stegmann, Marco Loog
2006	J	`jnl`	Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification. IEEE Trans. Medical Imaging Marco Loog, Bram van Ginneken
2006	B	`conf`	Simulating nodules in chest radiographs with real nodules from multi-slice CT images. Image Processing Arnold M. R. Schilham, Bram van Ginneken
2006	—	`conf`	Supervised Probabilistic Segmentation of Pulmonary Nodules in CT Scans. MICCAI (2) Bram van Ginneken
2005	A	`conf`	Automatic Detection of the Optic Disc, Fovea and Vacular Arch in Digital Color Photographs of the Retina. BMVC Meindert Niemeijer, Bram van Ginneken, Michael D. Abràmoff
2005	J	`jnl`	Automatic detection of red lesions in digital color fundus photographs. IEEE Trans. Medical Imaging Meindert Niemeijer, Bram van Ginneken, Joes Staal, Maria S. A. Suttorp-Schulten, Michael D. Abràmoff
2005	J	`jnl`	Dimensionality reduction of image features using the canonical contextual correlation projection. Pattern Recognit. Marco Loog, Bram van Ginneken, Robert P. W. Duin
2005	B	`conf`	Local noise reduction for emphysema scoring in low-dose CT images. Image Processing Arnold M. R. Schilham, Mathias Prokop, Hester A. Gietema, Bram van Ginneken
2005	J	`jnl`	Toward Automated Segmentation of the Pathological Lung in CT. IEEE Trans. Medical Imaging Ingrid Sluimer, Mathias Prokop, Bram van Ginneken
2004	—	`conf`	A Pattern Recognition Approach to Automated Coronary Calcium Scoring. ICPR (3) Ivana Isgum, Bram van Ginneken, Mathias Prokop
2004	—	`conf`	Automatic Rib Segmentation in CT Data. ECCV Workshops CVAMIA and MMBIA Joes Staal, Bram van Ginneken, Max A. Viergever
2004	B	`conf`	Comparative study of retinal vessel segmentation methods on a new publicly available database. Image Processing Meindert Niemeijer, Joes Staal, Bram van Ginneken, Marco Loog, Michael D. Abràmoff
2004	—	`conf`	Dimensionality Reduction by Canonical Contextual Correlation Projections. ECCV (1) Marco Loog, Bram van Ginneken, Robert P. W. Duin
2004	J	`jnl`	Interactive segmentation of abdominal aortic aneurysms in CTA images. Medical Image Anal. Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen
2004	B	`conf`	Lung field segmentation from thin-slice CT scans in presence of severe pathology. Image Processing Ingrid C. Sluimer, Meindert Niemeijer, Bram van Ginneken
2004	—	`conf`	Pixel Position Regression - Application to Medical Image Segmentation. ICPR (3) Bram van Ginneken, Marco Loog
2004	J	`jnl`	Ridge-based vessel segmentation in color images of the retina. IEEE Trans. Medical Imaging Joes Staal, Michael D. Abràmoff, Meindert Niemeijer, Max A. Viergever, Bram van Ginneken
2004	—	`conf`	Static Posterior Probability Fusion for Signal Detection: Applications in the Detection of Interstitial Diseases in Chest Radiographs. ICPR (1) Marco Loog, Bram van Ginneken
2003	—	`conf`	Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images. IPMI Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen
2003	B	`conf`	Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method. Image Processing Meindert Niemeijer, Bram van Ginneken, Casper A. Maas, Frederik J. A. Beek, Max A. Viergever
2003	—	`conf`	Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images. MICCAI (2) Marleen de Bruijne, Bram van Ginneken, Lambertus W. Bartels, Maarten J. van der Laan, Jan D. Blankensteijn, Wiro J. Niessen, Max A. Viergever
2003	—	`conf`	Automatic detection of calcifications in the aorta from abdominal CT scans. CARS Ivana Isgum, Bram van Ginneken, Max A. Viergever
2003	B	`conf`	Interactive shape models. Image Processing Bram van Ginneken, Marleen de Bruijne, Marco Loog, Max A. Viergever
2003	B	`conf`	Model-based segmentation of abdominal aortic aneurysms in CTA images. Image Processing Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, Marco Loog, Max A. Viergever
2003	—	`conf`	Multi-scale Nodule Detection in Chest Radiographs. MICCAI (1) Arnold M. R. Schilham, Bram van Ginneken, Marco Loog
2003	J	`jnl`	Multi-scale texture classification from generalized locally orderless images. Pattern Recognit. Bram van Ginneken, Bart M. ter Haar Romeny
2003	B	`conf`	Segmenting the posterior ribs in chest radiographs by iterated contextual pixel classification. Image Processing Marco Loog, Bram van Ginneken, Max A. Viergever
2002	J	`jnl`	Active Shape Model Segmentation with Optimal Features. IEEE Trans. Medical Imaging Bram van Ginneken, Alejandro F. Frangi, Joes Staal, Bart M. ter Haar Romeny, Max A. Viergever
2002	B	`conf`	Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images. Image Processing Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever
2002	J	`jnl`	Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis. IEEE Trans. Medical Imaging Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ter Haar Romeny, Kunio Doi, Max A. Viergever
2002	—	`conf`	Classifying convex sets for vessel detection in retinal images. ISBI Joes Staal, Stiliyan Kalitzin, Michael D. Abràmoff, Tos Berendschot, Bram van Ginneken, Max A. Viergever
2002	—	`conf`	Supervised Segmentation by Iterated Contextual Pixel Classification. ICPR (2) Marco Loog, Bram van Ginneken
2001	J	`jnl`	Computer-Aided Diagnosis in Chest Radiography: A Survey. IEEE Trans. Medical Imaging Bram van Ginneken, Bart M. ter Haar Romeny, Max A. Viergever
2000	J	`jnl`	Applications of Locally Orderless Images. J. Vis. Commun. Image Represent. Bram van Ginneken, Bart M. ter Haar Romeny
2000	B	`conf`	Automatic delineation of ribs in frontal chest radiographs. Image Processing Bram van Ginneken, Bart M. ter Haar Romeny
1999	—	`conf`	Applications of Locally Orderless Images. Scale-Space Bram van Ginneken, Bart M. ter Haar Romeny
1999	A	`conf`	Automatic Segmentation of Lung Fields in Chest Radiographs. MICCAI Bram van Ginneken, Bart M. ter Haar Romeny
1999	J	`jnl`	Reflectance and Texture of Real-World Surfaces. ACM Trans. Graph. Kristin J. Dana, Bram van Ginneken, Shree K. Nayar, Jan J. Koenderink
1999	J	`jnl`	Texture histograms as a function of irradiation and viewing direction. Int. J. Comput. Vis. Bram van Ginneken, Jan J. Koenderink, Kristin J. Dana
1997	A*	`conf`	Reflectance and Texture of Real-World Surfaces Authors. CVPR Kristin J. Dana, Shree K. Nayar, Bram van Ginneken, Jan J. Koenderink
1996	—	`conf`	REALISE: reconstruction of REALity from Image SEquences. ICIP (3) Frederic F. Leymarie, Arnaud de La Fortelle, Jan J. Koenderink, Astrid M. L. Kappers, Marigo Stavridi, Bram van Ginneken, Stefan Müller, S. Krake, Olivier D. Faugeras, Luc Robert, Cyrille Gauclin, Stéphane Laveau, Cyril Zeller