| 2025 | ICCV | Modaltune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-Task Learning in Digital Pathology. | Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel |
| 2025 | MICCAI | Physics-Guided Deep Image Prior Network for General Zero-Shot Stain Deconvolution. | Jianan Chen, Lydia Y. Liu, Wenchao Han, Alison M. Cheung, Hubert Tsui, Anne L. Martel |
| 2025 | MICCAI | Breast Cancer Detection from Multi-view Screening Mammograms with Visual Prompt Tuning. | Han Chen, Anne L. Martel |
| 2024 | MICCAI | Detecting Noisy Labels with Repeated Cross-Validations. | Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel |
| 2024 | MICCAI | Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology. | Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel |
| 2023 | MICCAI | Self Supervised Multi-view Graph Representation Learning in Digital Pathology. | Vishwesh Ramanathan, Anne L. Martel |
| 2023 | MICCAI | Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy. | Tony Xu, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran |
| 2022 | MICCAI | Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. | Jianan Chen, Anne L. Martel |
| 2021 | MICCAI | AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases. | Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel |
| 2019 | MICCAI | Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model. | Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel |
| 2019 | MICCAI | Multi-layer Domain Adaptation for Deep Convolutional Networks. | Ozan Ciga, Jianan Chen, Anne L. Martel |
| 2019 | MICCAI | Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline. | Geoff Klein, Anne L. Martel, Arjun Sahgal, Cari M. Whyne, Michael R. Hardisty |
| 2019 | MICCAI | Co-registered Cardiac ex vivo DT Images and Histological Images for Fibrosis Quantification. | Peter Lin, Anne L. Martel, Susan Camilleri, Mihaela Pop |
| 2017 | MICCAI | Transitioning Between Convolutional and Fully Connected Layers in Neural Networks. | Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel |
| 2017 | MICCAI | Motion Corruption Detection in Breast DCE-MRI. | Sylvester Chiang, Sharmila Balasingham, Lara Richmond, Belinda Curpen, Mia Skarpathiotakis, Anne L. Martel |
| 2015 | MICCAI | Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology. | Mohammad Peikari, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel |
| 2009 | MICCAI | A General PDE-Framework for Registration of Contrast Enhanced Images. | Mehran Ebrahimi, Anne L. Martel |
| 2006 | MICCAI | Piecewise-Quadrilateral Registration by Optical Flow - Applications in Contrast-Enhanced MR Imaging of the Breast. | Michael S. Froh, David C. Barber, Kristy K. Brock, Donald B. Plewes, Anne L. Martel |
| 2006 | MICCAI | Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound. | Gord Lueck, Peter N. Burns, Anne L. Martel |
| 2006 | MICCAI | A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast. | Anne L. Martel |
| 1999 | MICCAI | Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images. | Anne L. Martel, Steven J. Allder, Gota S. Delay, Paul S. Morgan, Alan R. Moody |