Anne L. Martel

117 papers A 1B 4Journal 55Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Automated Radiomics Framework for Postoperative Survival Prediction in Colorectal Liver Metastases using Preoperative MRI. CoRR Muhammad Alberb, Jianan Chen, Hossam El-Rewaidy, Paul Karanicolas, Arun Seth, Yutaka Amemiya, Anne L. Martel, Helen Cheung
2026	J	`jnl`	The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction. CoRR Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir
2025	J	`jnl`	A generalizable 3D framework and model for self-supervised learning in medical imaging. CoRR Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran
2025	J	`jnl`	A generalizable 3D framework and model for self-supervised learning in medical imaging. npj Digit. Medicine Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran
2025	J	`jnl`	Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning. CoRR Han Chen, Anne L. Martel
2025	—	`conf`	Breast Cancer Detection from Multi-view Screening Mammograms with Visual Prompt Tuning. Deep-Breath@MICCAI Han Chen, Anne L. Martel
2025	J	`jnl`	Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network. CoRR Han Chen, Anne L. Martel
2025	J	`jnl`	ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology. CoRR Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel
2025	—	`conf`	Physics-Guided Deep Image Prior Network for General Zero-Shot Stain Deconvolution. MICCAI (7) Jianan Chen, Lydia Y. Liu, Wenchao Han, Alison M. Cheung, Hubert Tsui, Anne L. Martel
2024	—	`conf`	Detecting Noisy Labels with Repeated Cross-Validations. MICCAI (10) Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel
2024	—	`conf`	Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology. MICCAI (5) Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel
2023	J	`jnl`	Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation. CoRR Jianan Chen, Anne L. Martel
2023	—	`conf`	Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging. Digital and Computational Pathology Wenchao Han, Alison M. Cheung, Vishwesh Ramanathan, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel
2023	—	`conf`	Ink removal in whole slide images using hallucinated data. Digital and Computational Pathology Vishwesh Ramanathan, Wenchao Han, Dina Bassiouny, Eileen Rakovitch, Anne L. Martel
2023	—	`conf`	Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes. Digital and Computational Pathology Alison M. Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne L. Martel, Arun Seth, Martin J. Yaffe
2023	—	`conf`	Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy. MILLanD@MICCAI Tony Xu, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran
2023	J	`jnl`	ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. NeuroImage Lyndon Boone, Mahdi Biparva, Parisa Mojiri Forooshani, Joel Ramirez, Mario Masellis, Robert Bartha, Sean Symons, Stephen C. Strother, Sandra E. Black, Chris Heyn, Anne L. Martel, Richard H. Swartz, Maged Goubran
2023	—	`conf`	Self Supervised Multi-view Graph Representation Learning in Digital Pathology. GRAIL/OCELOT@MICCAI Vishwesh Ramanathan, Anne L. Martel
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
2023	J	`jnl`	VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model. CoRR Geoff Klein, Michael R. Hardisty, Cari M. Whyne, Anne L. Martel
2022	J	`jnl`	BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports. J. Imaging Grey Kuling, Belinda Curpen, Anne L. Martel
2022	J	`jnl`	Biomedical image analysis competitions: The state of current participation practice. CoRR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
2022	—	`conf`	Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens. Digital and Computational Pathology Wenchao Han, Alison M. Cheung, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel
2022	—	`conf`	Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. HECKTOR@MICCAI Jianan Chen, Anne L. Martel
2022	J	`jnl`	Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling. CoRR Jianan Chen, Anne L. Martel
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`	ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. CoRR Lyndon Boone, Mahdi Biparva, Parisa Mojiri Forooshani, Joel Ramirez, Mario Masellis, Robert Bartha, Sean Symons, Stephen C. Strother, Sandra E. Black, Chris Heyn, Anne L. Martel, Richard H. Swartz, Maged Goubran
2022	J	`jnl`	Self-supervised driven consistency training for annotation efficient histopathology image analysis. Medical Image Anal. Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel
2022	—	`conf`	Sparse capsule networks for informative representation learning in digital pathology. Digital and Computational Pathology Matthew McNeil, Cem Anil, Anne L. Martel
2021	—	`conf`	AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases. MICCAI (5) Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel
2021	J	`jnl`	BI-RADS BERT & Using Section Tokenization to Understand Radiology Reports. CoRR Grey Kuling, Belinda Curpen, Anne L. Martel
2021	J	`jnl`	Deep neural network models for computational histopathology: A survey. Medical Image Anal. Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
2021	J	`jnl`	IJCARS: MICCAI 2020 special issue. Int. J. Comput. Assist. Radiol. Surg. Anne L. Martel, Danail Stoyanov, Diana Mateus, Leo Joskowicz, Purang Abolmaesumi
2021	—	`conf`	Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. ICCVW Chetan L. Srinidhi, Anne L. Martel
2021	J	`jnl`	Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. CoRR Chetan L. Srinidhi, Anne L. Martel
2021	J	`jnl`	Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols. IEEE Trans. Biomed. Eng. Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel
2021	J	`jnl`	Learning to segment images with classification labels. Medical Image Anal. Ozan Ciga, Anne L. Martel
2021	J	`jnl`	Loss odyssey in medical image segmentation. Medical Image Anal. Jun Ma, Jianan Chen, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel
2021	J	`jnl`	Self-supervised driven consistency training for annotation efficient histopathology image analysis. CoRR Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel
2020	J	`jnl`	AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases. CoRR Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel
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	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I MICCAI (1) Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II MICCAI (2) Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III MICCAI (3) Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV MICCAI (4) Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V MICCAI (5) Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI MICCAI (6) Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII MICCAI (7) Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020	J	`jnl`	Overcoming the limitations of patch-based learning to detect cancer in whole slide images. CoRR Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel
2020	J	`jnl`	Self supervised contrastive learning for digital histopathology. CoRR Ozan Ciga, Anne L. Martel, Tony Xu
2019	J	`jnl`	A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions. Medical Image Anal. Cristina Gallego-Ortiz, Anne L. Martel
2019	—	`conf`	Automated Segmentation of DCIS in Whole Slide Images. ECDP Nikhil Seth, Shazia Akbar, Sharon Nofech-Mozes, Sherine Salama, Anne L. Martel
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	—	`conf`	Co-registered Cardiac ex vivo DT Images and Histological Images for Fibrosis Quantification. STACOM@MICCAI Peter Lin, Anne L. Martel, Susan Camilleri, Mihaela Pop
2019	J	`jnl`	Deep neural network models for computational histopathology: A survey. CoRR Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
2019	J	`jnl`	Intensity augmentation for domain transfer of whole breast segmentation in MRI. CoRR Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel
2019	J	`jnl`	Learning to segment images with classification labels. CoRR Ozan Ciga, Anne L. Martel
2019	—	`conf`	Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline. CSI@MICCAI Geoff Klein, Anne L. Martel, Arjun Sahgal, Cari M. Whyne, Michael R. Hardisty
2019	—	`conf`	Multi-layer Domain Adaptation for Deep Convolutional Networks. DART/MIL3ID@MICCAI Ozan Ciga, Jianan Chen, Anne L. Martel
2019	J	`jnl`	Multi-layer Domain Adaptation for Deep Convolutional Networks. CoRR Ozan Ciga, Jianan Chen, Anne L. Martel
2019	J	`jnl`	The transition module: a method for preventing overfitting in convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
2019	—	`conf`	Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model. MICCAI (4) Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
2019	J	`jnl`	Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model. CoRR Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
2019	—	`conf`	Use of convolutional neural networks to predict risk of masking by mammographic density. Computer-Aided Diagnosis Theo Cleland, James G. Mainprize, Olivier Alonzo-Proulx, Jennifer A. Harvey, Roberta A. Jong, Anne L. Martel, Martin J. Yaffe
2018	J	`jnl`	Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology. CoRR Shazia Akbar, Anne L. Martel
2018	—	`ed.`	Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings COMPAY/OMIA@MICCAI Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna, David R. J. Snead, Emanuele Trucco, Mona Kathryn Garvin, Xinjian Chen, Hrvoje Bogunovic
2018	—	`ed.`	Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings DLMIA/ML-CDS@MICCAI Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2018	J	`jnl`	Deformable Registration for Longitudinal Breast MRI Screening. J. Digit. Imaging Hatef Mehrabian, Lara Richmond, Yingli Lu, Anne L. Martel
2018	—	`conf`	Determining tumor cellularity in digital slides using ResNet. Digital Pathology Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
2018	—	`ed.`	Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings GRAIL/Beyond-MIC@MICCAI Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen
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	—	`ed.`	Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings CVII-STENT/LABELS@MICCAI Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman, Anne L. Martel, Lena Maier-Hein, Luc Duong, Guillaume Zahnd, Stefanie Demirci, Shadi Albarqouni, Su-Lin Lee, Stefano Moriconi, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Eric Granger, Pierre Jannin
2018	—	`conf`	Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks. Digital Pathology Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi
2018	—	`ed.`	OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis - First International Workshop, OR 2.0 2018, 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, Third International Workshop, ISIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings OR 2.0/CARE/CLIP/ISIC@MICCAI Danail Stoyanov, Zeike Taylor, Duygu Sarikaya, A. Jonathan McLeod, Miguel Ángel González Ballester, Noel C. F. Codella, Anne L. Martel, Lena Maier-Hein, Anand Malpani, Marco A. Zenati, Sandrine de Ribaupierre, Xióngbiao Luó, Toby Collins, Tobias Reichl, Klaus Drechsler, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, M. Emre Celebi, Kristin J. Dana, Allan Halpern
2018	—	`ed.`	Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings POCUS/BIVPCS/CuRIOUS/CPM@MICCAI Danail Stoyanov, Zeike Taylor, Stephen R. Aylward, João Manuel R. S. Tavares, Yiming Xiao, Amber L. Simpson, Anne L. Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani
2018	—	`ed.`	Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings MLCN/DLF/iMIMIC@MICCAI Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier
2017	—	`conf`	Motion Corruption Detection in Breast DCE-MRI. MLMI@MICCAI Sylvester Chiang, Sharmila Balasingham, Lara Richmond, Belinda Curpen, Mia Skarpathiotakis, Anne L. Martel
2017	—	`conf`	Transitioning Between Convolutional and Fully Connected Layers in Neural Networks. DLMIA/ML-CDS@MICCAI Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
2017	J	`jnl`	Transitioning between Convolutional and Fully Connected Layers in Neural Networks. CoRR Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
2016	J	`jnl`	A Metric for Reducing False Positives in the Computer-Aided Detection of Breast Cancer from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Screening Examinations of High-Risk Women. J. Digit. Imaging Jacob E. D. Levman, Cristina Gallego-Ortiz, Ellen Warner, Petrina Causer, Anne L. Martel
2016	—	`conf`	Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool. Computer-Aided Diagnosis Jeremy Devine, Arjun Sahgal, Irene Karam, Anne L. Martel
2016	—	`conf`	Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching. Digital Pathology Mohammad Peikari, Anne L. Martel
2016	B	`conf`	Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection. Image Processing Anne L. Martel, Cristina Gallego-Ortiz, Yingli Lu
2016	J	`jnl`	Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI. CoRR Cristina Gallego-Ortiz, Anne L. Martel
2016	J	`jnl`	Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach. IEEE Trans. Medical Imaging Mohammad Peikari, Mehrdad J. Gangeh, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel
2015	J	`jnl`	Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas. IEEE Trans. Medical Imaging Farzad Khalvati, Cristina Gallego-Ortiz, Sharmila Balasingham, Anne L. Martel
2015	—	`conf`	Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology. MLMI Mohammad Peikari, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel
2014	J	`jnl`	A Vector Machine Formulation with Application to the Computer-Aided Diagnosis of Breast Cancer from DCE-MRI Screening Examinations. J. Digit. Imaging Jacob E. D. Levman, Ellen Warner, Petrina Causer, Anne L. Martel
2014	—	`conf`	Classification of breast lesions presenting as mass and non-mass lesions. Computer-Aided Diagnosis Cristina Gallego-Ortiz, Anne L. Martel
2014	J	`jnl`	Semi-Automatic Region-of-Interest Segmentation Based Computer-Aided Diagnosis of Mass Lesions from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Breast Cancer Screening. J. Digit. Imaging Jacob E. D. Levman, Ellen Warner, Petrina Causer, Anne L. Martel
2013	J	`jnl`	A Gauss-Newton approach to joint image registration and intensity correction. Comput. Methods Programs Biomed. Mehran Ebrahimi, Anthony Lausch, Anne L. Martel
2013	J	`jnl`	Calculation of Intravascular Signal in Dynamic Contrast Enhanced-MRI Using Adaptive Complex Independent Component Analysis. IEEE Trans. Medical Imaging Hatef Mehrabian, Rajiv Chopra, Anne L. Martel
2013	J	`jnl`	Feature Selection in Computer-Aided Breast Cancer Diagnosis via Dynamic Contrast-Enhanced Magnetic Resonance Images. J. Digit. Imaging Megan Rakoczy, Donald McGaughey, Michael J. Korenberg, Jacob E. D. Levman, Anne L. Martel
2013	—	`conf`	Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer. ISBI Hatef Mehrabian, Masoom A. Haider, Anne L. Martel
2012	J	`jnl`	A constrained independent component analysis technique for artery-vein separation of two-photon laser scanning microscopy images of the cerebral microvasculature. Medical Image Anal. Hatef Mehrabian, Liis Lindvere, Bojana Stefanovic, Anne L. Martel
2012	—	`conf`	An adaptive complex independent component analysis to analyze dynamic contrast enhanced-MRI. ISBI Hatef Mehrabian, Ian Pang, Rajiv Chopra, Anne L. Martel
2012	J	`jnl`	Editorial for the MEDIA Special Issue on MICCAI 2011. Medical Image Anal. Gabor Fichtinger, Anne L. Martel, Terry M. Peters
2011	—	`conf`	Automatic mask generation using independent component analysis in dynamic contrast enhanced-MRI. ISBI Hatef Mehrabian, Ian Pang, Chaitanya Chandrana, Rajiv Chopra, Anne L. Martel
2011	B	`conf`	Automatic model-based 3D segmentation of the breast in MRI. Image Processing Cristina Gallego-Ortiz, Anne L. Martel
2011	—	`conf`	Image registration for abdominal dynamic contrast-enhanced magnetic resonance images. ISBI Anthony Lausch, Mehran Ebrahimi, Anne L. Martel
2011	J	`jnl`	Increasing specimen coverage using digital whole-mount breast pathology: Implementation, clinical feasibility and application in research. Comput. Medical Imaging Graph. Gina M. Clarke, Chris Peressotti, Paul Constantinou, Danoush Hosseinzadeh, Anne L. Martel, Martin J. Yaffe
2011	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part I MICCAI (1) Gabor Fichtinger, Anne L. Martel, Terry M. Peters
2011	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II MICCAI (2) Gabor Fichtinger, Anne L. Martel, Terry M. Peters
2011	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III MICCAI (3) Gabor Fichtinger, Anne L. Martel, Terry M. Peters
2011	B	`conf`	Validation of histology image registration. Image Processing Rushin Shojaii, Tigran Karavardanyan, Martin J. Yaffe, Anne L. Martel
2010	B	`conf`	Multi-Modality fiducial marker for validation of registration of medical images with histology. Image Processing Rushin Shojaii, Anne L. Martel
2009	—	`conf`	A General PDE-Framework for Registration of Contrast Enhanced Images. MICCAI (1) Mehran Ebrahimi, Anne L. Martel
2009	—	`conf`	A PDE Approach to Coupled Super-Resolution with Non-parametric Motion. EMMCVPR Mehran Ebrahimi, Anne L. Martel
2009	—	`conf`	Image Registration under Varying Illumination: Hyper-Demons Algorithm. EMMCVPR Mehran Ebrahimi, Anne L. Martel
2008	—	`conf`	Can Bilateral Asymmetry Analysis of Breast MR Images Provide Additional Information for Detection of Breast Diseases? SIBGRAPI Ricardo José Ferrari, Kimberley A. Hill, Donald B. Plewes, Anne L. Martel
2008	J	`jnl`	Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast Lesions by Support Vector Machines. IEEE Trans. Medical Imaging Jacob E. D. Levman, Tony Leung, Petrina Causer, Donald B. Plewes, Anne L. Martel
2008	J	`jnl`	Hepatic Perfusion Imaging Using Factor Analysis of Contrast Enhanced Ultrasound. IEEE Trans. Medical Imaging Gord Lueck, Tae Kyoung Kim, Peter N. Burns, Anne L. Martel
2006	—	`conf`	A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast. MICCAI (2) Anne L. Martel
2006	—	`conf`	Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound. MICCAI (2) Gord Lueck, Peter N. Burns, Anne L. Martel
2006	—	`conf`	Piecewise-Quadrilateral Registration by Optical Flow - Applications in Contrast-Enhanced MR Imaging of the Breast. MICCAI (2) Michael S. Froh, David C. Barber, Kristy K. Brock, Donald B. Plewes, Anne L. Martel
2001	J	`jnl`	Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis. Medical Image Anal. Anne L. Martel, Alan R. Moody, Steven J. Allder, Gota S. Delay, Paul S. Morgan
1999	A	`conf`	Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images. MICCAI Anne L. Martel, Steven J. Allder, Gota S. Delay, Paul S. Morgan, Alan R. Moody