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ORCIDAnne L. Martel
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- affiliation: University of Toronto, Department of Medical BioPhysics, Canada
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2020 – today
- 2025
[i23]Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran:
A generalizable 3D framework and model for self-supervised learning in medical imaging. CoRR abs/2501.11755 (2025)- 2024
- [c42]Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel:
Detecting Noisy Labels with Repeated Cross-Validations. MICCAI (10) 2024: 197-207 - [c41]Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel:
Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology. MICCAI (5) 2024: 262-272 - 2023
- [j26]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:
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. NeuroImage 278: 120289 (2023) - [c40]Vishwesh Ramanathan, Anne L. Martel:
Self Supervised Multi-view Graph Representation Learning in Digital Pathology. GRAIL/OCELOT@MICCAI 2023: 74-84 - [c39]Tony Xu, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran:
Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy. MILLanD@MICCAI 2023: 117-127 - [c38]Alison M. Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne L. Martel, Arun Seth, Martin J. Yaffe:
Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes. Digital and Computational Pathology 2023 - [c37]Wenchao Han, Alison M. Cheung, Vishwesh Ramanathan, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel:
Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging. Digital and Computational Pathology 2023 - [c36]Vishwesh Ramanathan, Wenchao Han, Dina Bassiouny, Eileen Rakovitch, Anne L. Martel:
Ink removal in whole slide images using hallucinated data. Digital and Computational Pathology 2023 - [i22]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i21]Jianan Chen, Anne L. Martel:
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation. CoRR abs/2306.13990 (2023) - [i20]Geoff Klein, Michael R. Hardisty, Cari M. Whyne, Anne L. Martel:
VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model. CoRR abs/2311.09958 (2023) - 2022
- [j25]Grey Kuling, Belinda Curpen, Anne L. Martel:
BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports. J. Imaging 8(5): 131 (2022) - [j24]Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel:
Self-supervised driven consistency training for annotation efficient histopathology image analysis. Medical Image Anal. 75: 102256 (2022) - [c35]Jianan Chen, Anne L. Martel:
Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. HECKTOR@MICCAI 2022: 221-229 - [c34]Wenchao Han, Alison M. Cheung, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel:
Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens. Digital and Computational Pathology 2022 - [c33]Matthew McNeil, Cem Anil, Anne L. Martel:
Sparse capsule networks for informative representation learning in digital pathology. Digital and Computational Pathology 2022 - [i19]Jianan Chen, Anne L. Martel:
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling. CoRR abs/2203.04964 (2022) - [i18]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:
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. CoRR abs/2203.06060 (2022) - [i17]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:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i16]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.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j23]Anne L. Martel, Danail Stoyanov, Diana Mateus, Leo Joskowicz, Purang Abolmaesumi:
IJCARS: MICCAI 2020 special issue. Int. J. Comput. Assist. Radiol. Surg. 16(10): 1639 (2021) - [j22]Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel:
Deep neural network models for computational histopathology: A survey. Medical Image Anal. 67: 101813 (2021) - [j21]Ozan Ciga, Anne L. Martel:
Learning to segment images with classification labels. Medical Image Anal. 68: 101912 (2021) - [j20]Jun Ma, Jianan Chen, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel:
Loss odyssey in medical image segmentation. Medical Image Anal. 71: 102035 (2021) - [j19]Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel:
Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols. IEEE Trans. Biomed. Eng. 68(3): 759-770 (2021) - [c32]Chetan L. Srinidhi, Anne L. Martel:
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. ICCVW 2021: 562-571 - [c31]Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel:
AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases. MICCAI (5) 2021: 752-761 - [i15]Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel:
Self-supervised driven consistency training for annotation efficient histopathology image analysis. CoRR abs/2102.03897 (2021) - [i14]Chetan L. Srinidhi, Anne L. Martel:
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. CoRR abs/2108.07183 (2021) - [i13]Grey Kuling, Belinda Curpen, Anne L. Martel:
BI-RADS BERT & Using Section Tokenization to Understand Radiology Reports. CoRR abs/2110.07552 (2021) - 2020
- [j18]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:
BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. 66: 101796 (2020) - [e18]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12261, Springer 2020, ISBN 978-3-030-59709-2 [contents] - [e17]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12262, Springer 2020, ISBN 978-3-030-59712-2 [contents] - [e16]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12263, Springer 2020, ISBN 978-3-030-59715-3 [contents] - [e15]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12264, Springer 2020, ISBN 978-3-030-59718-4 [contents] - [e14]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12265, Springer 2020, ISBN 978-3-030-59721-4 [contents] - [e13]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI. Lecture Notes in Computer Science 12266, Springer 2020, ISBN 978-3-030-59724-5 [contents] - [e12]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Lecture Notes in Computer Science 12267, Springer 2020, ISBN 978-3-030-59727-6 [contents] - [i12]Ozan Ciga, Anne L. Martel, Tony Xu:
Self supervised contrastive learning for digital histopathology. CoRR abs/2011.13971 (2020) - [i11]Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel:
Overcoming the limitations of patch-based learning to detect cancer in whole slide images. CoRR abs/2012.00617 (2020) - [i10]Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel:
AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases. CoRR abs/2012.06875 (2020)
2010 – 2019
- 2019
- [j17]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
The transition module: a method for preventing overfitting in convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 260-265 (2019) - [j16]Cristina Gallego-Ortiz, Anne L. Martel:
A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions. Medical Image Anal. 51: 116-124 (2019) - [c30]Nikhil Seth, Shazia Akbar, Sharon Nofech-Mozes, Sherine Salama, Anne L. Martel:
Automated Segmentation of DCIS in Whole Slide Images. ECDP 2019: 67-74 - [c29]Theo Cleland, James G. Mainprize, Olivier Alonzo-Proulx, Jennifer A. Harvey, Roberta A. Jong, Anne L. Martel, Martin J. Yaffe:
Use of convolutional neural networks to predict risk of masking by mammographic density. Computer-Aided Diagnosis 2019: 109501X - [c28]Peter Lin, Anne L. Martel, Susan Camilleri, Mihaela Pop:
Co-registered Cardiac ex vivo DT Images and Histological Images for Fibrosis Quantification. STACOM@MICCAI 2019: 3-11 - [c27]Geoff Klein, Anne L. Martel, Arjun Sahgal, Cari M. Whyne, Michael R. Hardisty:
Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline. CSI@MICCAI 2019: 15-28 - [c26]Ozan Ciga, Jianan Chen, Anne L. Martel:
Multi-layer Domain Adaptation for Deep Convolutional Networks. DART/MIL3ID@MICCAI 2019: 20-27 - [c25]Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel:
Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model. MICCAI (4) 2019: 575-582 - [i9]Ozan Ciga, Jianan Chen, Anne L. Martel:
Multi-layer Domain Adaptation for Deep Convolutional Networks. CoRR abs/1909.02620 (2019) - [i8]Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel:
Intensity augmentation for domain transfer of whole breast segmentation in MRI. CoRR abs/1909.02642 (2019) - [i7]Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel:
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model. CoRR abs/1909.02953 (2019) - [i6]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:
BIAS: Transparent reporting of biomedical image analysis challenges. CoRR abs/1910.04071 (2019) - [i5]Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel:
Deep neural network models for computational histopathology: A survey. CoRR abs/1912.12378 (2019) - [i4]Ozan Ciga, Anne L. Martel:
Learning to segment images with classification labels. CoRR abs/1912.12533 (2019) - 2018
- [j15]Hatef Mehrabian, Lara Richmond, YingLi Lu, Anne L. Martel:
Deformable Registration for Longitudinal Breast MRI Screening. J. Digit. Imaging 31(5): 718-726 (2018) - [c24]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
Determining tumor cellularity in digital slides using ResNet. Digital Pathology 2018: 105810U - [c23]Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi:
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks. Digital Pathology 2018: 105810O - [e11]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:
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. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - [e10]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:
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. Lecture Notes in Computer Science 11039, Springer 2018, ISBN 978-3-030-00948-9 [contents] - [e9]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:
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. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - [e8]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:
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. Lecture Notes in Computer Science 11041, Springer 2018, ISBN 978-3-030-01200-7 [contents] - [e7]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:
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. Lecture Notes in Computer Science 11042, Springer 2018, ISBN 978-3-030-01044-7 [contents] - [e6]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:
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. Lecture Notes in Computer Science 11043, Springer 2018, ISBN 978-3-030-01363-9 [contents] - [e5]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:
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. Lecture Notes in Computer Science 11044, Springer 2018, ISBN 978-3-030-00688-4 [contents] - [e4]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:
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. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i3]Shazia Akbar, Anne L. Martel:
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology. CoRR abs/1812.00884 (2018) - 2017
- [c22]Sylvester Chiang, Sharmila Balasingham, Lara Richmond, Belinda Curpen, Mia Skarpathiotakis, Anne L. Martel:
Motion Corruption Detection in Breast DCE-MRI. MLMI@MICCAI 2017: 10-18 - [c21]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
Transitioning Between Convolutional and Fully Connected Layers in Neural Networks. DLMIA/ML-CDS@MICCAI 2017: 143-150 - [i2]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
Transitioning between Convolutional and Fully Connected Layers in Neural Networks. CoRR abs/1707.05743 (2017) - 2016
- [j14]Jacob E. D. Levman, Cristina Gallego-Ortiz, Ellen Warner, Petrina Causer, Anne L. Martel:
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 29(1): 126-133 (2016) - [j13]Mohammad Peikari, Mehrdad J. Gangeh, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel:
Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach. IEEE Trans. Medical Imaging 35(1): 307-315 (2016) - [c20]Jeremy Devine, Arjun Sahgal, Irene Karam, Anne L. Martel:
Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool. Computer-Aided Diagnosis 2016: 97852K - [c19]Mohammad Peikari, Anne L. Martel:
Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching. Digital Pathology 2016: 979114 - [c18]Anne L. Martel, Cristina Gallego-Ortiz, YingLi Lu:
Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection. Image Processing 2016: 97841B - [i1]Cristina Gallego-Ortiz, Anne L. Martel:
Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI. CoRR abs/1606.08288 (2016) - 2015
- [j12]Farzad Khalvati, Cristina Gallego-Ortiz, Sharmila Balasingham, Anne L. Martel:
Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas. IEEE Trans. Medical Imaging 34(1): 116-125 (2015) - [c17]Mohammad Peikari, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel:
Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology. MLMI 2015: 263-270 - 2014
- [j11]Jacob E. D. Levman, Ellen Warner, Petrina Causer, Anne L. Martel:
A Vector Machine Formulation with Application to the Computer-Aided Diagnosis of Breast Cancer from DCE-MRI Screening Examinations. J. Digit. Imaging 27(1): 145-151 (2014) - [j10]Jacob E. D. Levman, Ellen Warner, Petrina Causer, Anne L. Martel:
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 27(5): 670-678 (2014) - [c16]Cristina Gallego-Ortiz, Anne L. Martel:
Classification of breast lesions presenting as mass and non-mass lesions. Computer-Aided Diagnosis 2014: 90351Z - 2013
- [j9]Mehran Ebrahimi, Anthony Lausch, Anne L. Martel:
A Gauss-Newton approach to joint image registration and intensity correction. Comput. Methods Programs Biomed. 112(3): 398-406 (2013) - [j8]Megan Rakoczy, Donald McGaughey, Michael J. Korenberg, Jacob E. D. Levman, Anne L. Martel:
Feature Selection in Computer-Aided Breast Cancer Diagnosis via Dynamic Contrast-Enhanced Magnetic Resonance Images. J. Digit. Imaging 26(2): 198-208 (2013) - [j7]Hatef Mehrabian, Rajiv Chopra, Anne L. Martel:
Calculation of Intravascular Signal in Dynamic Contrast Enhanced-MRI Using Adaptive Complex Independent Component Analysis. IEEE Trans. Medical Imaging 32(4): 699-710 (2013) - [c15]Hatef Mehrabian, Masoom A. Haider, Anne L. Martel:
Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer. ISBI 2013: 966-969 - 2012
- [j6]Hatef Mehrabian, Liis Lindvere, Bojana Stefanovic, Anne L. Martel:
A constrained independent component analysis technique for artery-vein separation of two-photon laser scanning microscopy images of the cerebral microvasculature. Medical Image Anal. 16(1): 239-251 (2012) - [j5]Gabor Fichtinger, Anne L. Martel, Terry M. Peters:
Editorial for the MEDIA Special Issue on MICCAI 2011. Medical Image Anal. 16(7): 1329 (2012) - [c14]Hatef Mehrabian, Ian Pang, Rajiv Chopra, Anne L. Martel:
An adaptive complex independent component analysis to analyze dynamic contrast enhanced-MRI. ISBI 2012: 1052-1055 - 2011
- [j4]Gina M. Clarke, Chris Peressotti, Paul Constantinou, Danoush Hosseinzadeh, Anne L. Martel, Martin J. Yaffe:
Increasing specimen coverage using digital whole-mount breast pathology: Implementation, clinical feasibility and application in research. Comput. Medical Imaging Graph. 35(7-8): 531-541 (2011) - [c13]Anthony Lausch, Mehran Ebrahimi, Anne L. Martel:
Image registration for abdominal dynamic contrast-enhanced magnetic resonance images. ISBI 2011: 561-565 - [c12]Hatef Mehrabian, Ian Pang, Chaitanya Chandrana, Rajiv Chopra, Anne L. Martel:
Automatic mask generation using independent component analysis in dynamic contrast enhanced-MRI. ISBI 2011: 1657-1661 - [c11]Rushin Shojaii, Tigran Karavardanyan, Martin J. Yaffe, Anne L. Martel:
Validation of histology image registration. Image Processing 2011: 79621E - [c10]Cristina Gallego-Ortiz, Anne L. Martel:
Automatic model-based 3D segmentation of the breast in MRI. Image Processing 2011: 796215 - [e3]Gabor Fichtinger, Anne L. Martel, Terry M. Peters:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6891, Springer 2011, ISBN 978-3-642-23622-8 [contents] - [e2]Gabor Fichtinger, Anne L. Martel, Terry M. Peters:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6892, Springer 2011, ISBN 978-3-642-23628-0 [contents] - [e1]Gabor Fichtinger, Anne L. Martel, Terry M. Peters:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III. Lecture Notes in Computer Science 6893, Springer 2011, ISBN 978-3-642-23625-9 [contents] - 2010
- [c9]Rushin Shojaii, Anne L. Martel:
Multi-Modality fiducial marker for validation of registration of medical images with histology. Image Processing 2010: 762331
2000 – 2009
- 2009
- [c8]Mehran Ebrahimi, Anne L. Martel:
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion. EMMCVPR 2009: 112-125 - [c7]Mehran Ebrahimi, Anne L. Martel:
Image Registration under Varying Illumination: Hyper-Demons Algorithm. EMMCVPR 2009: 303-316 - [c6]Mehran Ebrahimi, Anne L. Martel:
A General PDE-Framework for Registration of Contrast Enhanced Images. MICCAI (1) 2009: 811-819 - 2008
- [j3]Jacob E. D. Levman, Tony Leung, Petrina Causer, Donald B. Plewes, Anne L. Martel:
Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast Lesions by Support Vector Machines. IEEE Trans. Medical Imaging 27(5): 688-696 (2008) - [j2]Gord Lueck, T. K. Kim, Peter N. Burns, Anne L. Martel:
Hepatic Perfusion Imaging Using Factor Analysis of Contrast Enhanced Ultrasound. IEEE Trans. Medical Imaging 27(10): 1449-1457 (2008) - [c5]Ricardo José Ferrari, Kimberley A. Hill, Donald B. Plewes, Anne L. Martel:
Can Bilateral Asymmetry Analysis of Breast MR Images Provide Additional Information for Detection of Breast Diseases? SIBGRAPI 2008: 113-120 - 2006
- [c4]Gord Lueck, Peter N. Burns, Anne L. Martel:
Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound. MICCAI (2) 2006: 76-83 - [c3]Anne L. Martel:
A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast. MICCAI (2) 2006: 101-108 - [c2]Michael S. Froh, David C. Barber, Kristy K. Brock, Donald B. Plewes, Anne L. Martel:
Piecewise-Quadrilateral Registration by Optical Flow - Applications in Contrast-Enhanced MR Imaging of the Breast. MICCAI (2) 2006: 686-693 - 2001
- [j1]Anne L. Martel, Alan R. Moody, Steven J. Allder, Gota S. Delay, Paul S. Morgan:
Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis. Medical Image Anal. 5(1): 29-39 (2001)
1990 – 1999
- 1999
- [c1]Anne L. Martel, Steven J. Allder, Gota S. Delay, Paul S. Morgan, Alan R. Moody:
Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images. MICCAI 1999: 22-31
Coauthor Index
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