Colin Jacobs - RankMe

43 papers B 2Journal 30Unranked 9

Year	Rank	Type	Title / Venue / Authors
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	B	`conf`	Children's division of cognitive labor: Evidence from Kenya and China. CogSci Colin Jacobs, Dhara Yu, Zhen Zhang, Henriette Zeidler, Bill Thompson, Jan Engelmann
2025	J	`jnl`	Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening. CoRR Shaurya Gaur, Michel Vitale, Alessa Hering, Johan Kwisthout, Colin Jacobs, Lena Philipp, Fennie van der Graaf
2025	J	`jnl`	Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection. Comput. Biol. Medicine Dre Peeters, Kiran Vaidhya Venkadesh, Renate Dinnessen, Zaigham Saghir, Ernst Th. Scholten, Rozemarijn Vliegenthart, Mathias Prokop, Colin Jacobs
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`	Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs. CoRR Rishad Islam, Arielle Carr, Colin Jacobs
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`	Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging. Biomed. Signal Process. Control. Carlos A. Ferreira, Kiran Vaidhya Venkadesh, Colin Jacobs, Miguel T. Coimbra, Aurélio Campilho
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`	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	—	`conf`	Reproducibility of Training Deep Learning Models for Medical Image Analysis. MIDL Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman
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`	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
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`	Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe. Astron. Comput. Colin Jacobs, Karl Glazebrook, A. K. Qin, Thomas Collett
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`	Deep Clustering Activation Maps for Emphysema Subtyping. CoRR Weiyi Xie, Colin Jacobs, Bram van Ginneken
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	B	`conf`	What happened here? Children integrate physical reasoning to infer actions from indirect evidence. CogSci Colin Jacobs, Michael Lopez-Brau, Julian Jara-Ettinger
2020	J	`jnl`	"Sensie": Probing the sensitivity of neural networks. J. Open Source Softw. Colin Jacobs
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`	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`	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`	Surveying the reach and maturity of machine learning and artificial intelligence in astronomy. WIREs Data Mining Knowl. Discov. Christopher J. Fluke, Colin Jacobs
2020	—	`ed.`	Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings TIA@MICCAI Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah E. Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori
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
2018	—	`ed.`	Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings RAMBO+BIA+TIA@MICCAI Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga
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	—	`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
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	—	`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	—	`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
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