Anne L. Martel

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 56

Top Topics

Lesion Detection

Top Venues

Medical Image Anal.

J. Digit. Imaging

Medical Imaging: Digital Pathology

Publications

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 (2023)
Jianan Chen, Anne L. Martel
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation. CoRR (2023)
Geoff Klein, Michael R. Hardisty, Cari M. Whyne, Anne L. Martel
VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model. CoRR (2023)
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 (2023)
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)
Vishwesh Ramanathan, Anne L. Martel
Self Supervised Multi-view Graph Representation Learning in Digital Pathology. GRAIL/OCELOT@MICCAI (2023)
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 (2022)
Jianan Chen, Anne L. Martel
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling. CoRR (2022)
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 (2022)
Grey Kuling, Belinda Curpen, Anne L. Martel
BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports. J. Imaging 8 (5) (2022)
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, 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 (2022)
Jianan Chen, Anne L. Martel
Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. HECKTOR@MICCAI (2022)
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 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 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 (2022)
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
Deep neural network models for computational histopathology: A survey. Medical Image Anal. 67 (2021)
Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel
Self-supervised driven consistency training for annotation efficient histopathology image analysis. CoRR (2021)
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) (2021)
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 (2021)
Anne L. Martel, Danail Stoyanov, Diana Mateus, Leo Joskowicz, Purang Abolmaesumi
IJCARS: MICCAI 2020 special issue. Int. J. Comput. Assist. Radiol. Surg. 16 (10) (2021)
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)
Ozan Ciga, Anne L. Martel
Learning to segment images with classification labels. Medical Image Anal. 68 (2021)
Grey Kuling, Belinda Curpen, Anne L. Martel
BI-RADS BERT & Using Section Tokenization to Understand Radiology Reports. CoRR (2021)
Chetan L. Srinidhi, Anne L. Martel
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. ICCVW (2021)
Chetan L. Srinidhi, Anne L. Martel
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. CoRR (2021)
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 (2020)
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 (2020)
Ozan Ciga, Anne L. Martel, Tony Xu
Self supervised contrastive learning for digital histopathology. CoRR (2020)
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 (2020)
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 (2019)
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) (2019)
Ozan Ciga, Jianan Chen, Anne L. Martel
Multi-layer Domain Adaptation for Deep Convolutional Networks. CoRR (2019)
Ozan Ciga, Anne L. Martel
Learning to segment images with classification labels. CoRR (2019)
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)
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)
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
Deep neural network models for computational histopathology: A survey. CoRR (2019)
Nikhil Seth, Shazia Akbar, Sharon Nofech-Mozes, Sherine Salama, Anne L. Martel
Automated Segmentation of DCIS in Whole Slide Images. ECDP (2019)
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 (2019)
Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model. CoRR (2019)
Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel
Intensity augmentation for domain transfer of whole breast segmentation in MRI. CoRR (2019)
Ozan Ciga, Jianan Chen, Anne L. Martel
Multi-layer Domain Adaptation for Deep Convolutional Networks. DART/MIL3ID@MICCAI (2019)
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. Medical Imaging: Computer-Aided Diagnosis (2019)
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)
Shazia Akbar, Anne L. Martel
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology. CoRR (2018)
Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
Determining tumor cellularity in digital slides using ResNet. Medical Imaging: Digital Pathology (2018)
Hatef Mehrabian, Lara Richmond, YingLi Lu, Anne L. Martel
Deformable Registration for Longitudinal Breast MRI Screening. J. Digit. Imaging 31 (5) (2018)
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. Medical Imaging: Digital Pathology (2018)
Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
Transitioning between Convolutional and Fully Connected Layers in Neural Networks. CoRR (2017)
Sylvester Chiang, Sharmila Balasingham, Lara Richmond, Belinda Curpen, Mia Skarpathiotakis, Anne L. Martel
Motion Corruption Detection in Breast DCE-MRI. MLMI@MICCAI (2017)
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)
Anne L. Martel, Cristina Gallego-Ortiz, YingLi Lu
Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection. Medical Imaging: Image Processing (2016)
Jeremy Devine, Arjun Sahgal, Irene Karam, Anne L. Martel
Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool. Medical Imaging: Computer-Aided Diagnosis (2016)
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) (2016)
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) (2016)
Cristina Gallego-Ortiz, Anne L. Martel
Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI. CoRR (2016)
Mohammad Peikari, Anne L. Martel
Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching. Medical Imaging: Digital Pathology (2016)
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) (2015)
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)
Cristina Gallego-Ortiz, Anne L. Martel
Classification of breast lesions presenting as mass and non-mass lesions. Medical Imaging: Computer-Aided Diagnosis (2014)
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) (2014)
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) (2014)
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) (2013)
Hatef Mehrabian, Masoom A. Haider, Anne L. Martel
Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer. ISBI (2013)
Mehran Ebrahimi, Anthony Lausch, Anne L. Martel
A Gauss-Newton approach to joint image registration and intensity correction. Comput. Methods Programs Biomed. 112 (3) (2013)
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) (2013)
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) (2012)
Gabor Fichtinger, Anne L. Martel, Terry M. Peters
Editorial for the MEDIA Special Issue on MICCAI 2011. Medical Image Anal. 16 (7) (2012)
Hatef Mehrabian, Ian Pang, Rajiv Chopra, Anne L. Martel
An adaptive complex independent component analysis to analyze dynamic contrast enhanced-MRI. ISBI (2012)
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)
Anthony Lausch, Mehran Ebrahimi, Anne L. Martel
Image registration for abdominal dynamic contrast-enhanced magnetic resonance images. ISBI (2011)
Cristina Gallego-Ortiz, Anne L. Martel
Automatic model-based 3D segmentation of the breast in MRI. Medical Imaging: Image Processing (2011)
Rushin Shojaii, Tigran Karavardanyan, Martin J. Yaffe, Anne L. Martel
Validation of histology image registration. Medical Imaging: Image Processing (2011)
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) (2011)
Rushin Shojaii, Anne L. Martel
Multi-Modality fiducial marker for validation of registration of medical images with histology. Medical Imaging: Image Processing (2010)
Mehran Ebrahimi, Anne L. Martel
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion. EMMCVPR (2009)
Mehran Ebrahimi, Anne L. Martel
A General PDE-Framework for Registration of Contrast Enhanced Images. MICCAI (1) (2009)
Mehran Ebrahimi, Anne L. Martel
Image Registration under Varying Illumination: Hyper-Demons Algorithm. EMMCVPR (2009)
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) (2008)
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)
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) (2008)
Gord Lueck, Peter N. Burns, Anne L. Martel
Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound. MICCAI (2) (2006)
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)
Anne L. Martel
A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast. MICCAI (2) (2006)
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) (2001)
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)