Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks. - Jay B. Patel; Ken Chang; Katharina Hoebel; Mishka Gidwani; Nishanth Thumbavanam Arun; Sharut Gupta; Mehak Aggarwal; Praveer Singh; Bruce R. Rosen; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer (BrainLes@MICCAI (2), 2020)

Radiomics and Radiogenomics with Deep Learning in Neuro-oncology. - Jay B. Patel; Mishka Gidwani; Ken Chang; Jayashree Kalpathy-Cramer (MLCN/RNO-AI@MICCAI, 2020)

Assessing the validity of saliency maps for abnormality localization in medical imaging. - Nishanth Thumbavanam Arun; Nathan Gaw; Praveer Singh; Ken Chang; Katharina Viktoria Hoebel; Jay B. Patel; Mishka Gidwani; Jayashree Kalpathy-Cramer (CoRR, 2020)

Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. - Nishanth Thumbavanam Arun; Nathan Gaw; Praveer Singh; Ken Chang; Mehak Aggarwal; Bryan Chen; Katharina Hoebel; Sharut Gupta; Jay B. Patel; Mishka Gidwani; Julius Adebayo; Matthew D. Li; et al. (CoRR, 2020)

Towards Trainable Saliency Maps in Medical Imaging. - Mehak Aggarwal; Nishanth Thumbavanam Arun; Sharut Gupta; Ashwin Vaswani; Bryan Chen; Matthew D. Li; Ken Chang; Jay B. Patel; Katherine Höbel; Mishka Gidwani; Jayashree Kalpathy-Cramer; Praveer Singh (CoRR, 2020)

The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions. - Sharut Gupta; Praveer Singh; Ken Chang; Mehak Aggarwal; Nishanth Thumbavanam Arun; Liangqiong Qu; Katharina Hoebel; Jay B. Patel; Mishka Gidwani; Ashwin Vaswani; Daniel L. Rubin; Jayashree Kalpathy-Cramer (CoRR, 2020)

Addressing catastrophic forgetting for medical domain expansion. - Sharut Gupta; Praveer Singh; Ken Chang; Liangqiong Qu; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; Jay B. Patel; et al. (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. - Jay B. Patel; Syed Rakin Ahmed; Ken Chang; Praveer Singh; Mishka Gidwani; Katharina Hoebel; Albert E. Kim; Christopher P. Bridge; Chung-Jen Teng; Xiaomei Li; Gongwen Xu; Megan McDonald; et al. (MLHC, 2023)

Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. - Sharut Gupta; Ken Chang; Liangqiong Qu; Aakanksha Rana; Syed Rakin Ahmed; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; et al. (AIPAD/PILM@MICCAI, 2024)