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Self-supervised driven consistency training for annotation efficient histopathology image analysis


Feb 09, 2021
Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel


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AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases


Dec 12, 2020
Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel


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Overcoming the limitations of patch-based learning to detect cancer in whole slide images


Dec 01, 2020
Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel


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Self supervised contrastive learning for digital histopathology


Nov 27, 2020
Ozan Ciga, Anne L. Martel, Tony Xu


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Learning to segment images with classification labels


Dec 28, 2019
Ozan Ciga, Anne L. Martel


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Deep neural network models for computational histopathology: A survey


Dec 28, 2019
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel


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BIAS: Transparent reporting of biomedical image analysis challenges


Oct 23, 2019
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbuary, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett Landman

* 4 Supplements: Suppl 1: Reviewer checklist Suppl 2: Gloassary Suppl 3: Form for summarizing information on challenge organization Suppl 4: Structured description of a challenge design 

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Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model


Sep 06, 2019
Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel

* Accepted at MICCAI 2019 

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Intensity augmentation for domain transfer of whole breast segmentation in MRI


Sep 05, 2019
Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel

* Preprint 

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Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology


Nov 28, 2018
Shazia Akbar, Anne L. Martel

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 

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Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI


Jun 27, 2016
Cristina Gallego-Ortiz, Anne L. Martel

* presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY 

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