A Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences. - Praveer Singh; Zoltan Kato; Josiane Zerubia (ICPR, 2014)

Unsupervised Representation Learning by Predicting Image Rotations. - Spyros Gidaris; Praveer Singh; Nikos Komodakis (ICLR (Poster), 2018)

Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask. - Praveer Singh; Nikos Komodakis (IGARSS, 2018)

Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks. - Praveer Singh; Nikos Komodakis (IGARSS, 2018)

Autonomous robotic system for tunnel structural inspection and assessment. - Konstantinos Loupos; Anastasios D. Doulamis; Christos Stentoumis; Eftychios Protopapadakis; Konstantinos Makantasis; Nikolaos D. Doulamis; Angelos Amditis; Philippe Chrobocinski; Juan G. Victores; Roberto Montero; Elisabeth Menendez; Carlos Balaguer; et al. (Int. J. Intell. Robotics Appl., 2018)

Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm. - Praveer Singh; Nikos Komodakis (IEEE Geosci. Remote. Sens. Lett., 2018)

Traitement d'images à haute résolution grâce à des techniques d'apprentissage en profondeur. (Processing high-resolution images through deep learning techniques). - Praveer Singh (2018)

Give me (un)certainty - An exploration of parameters that affect segmentation uncertainty. - Katharina Hoebel; Ken Chang; Jay B. Patel; Praveer Singh; Jayashree Kalpathy-Cramer (CoRR, 2019)

Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. - Aaron S. Coyner; Jimmy Chen; John Peter Campbell; Susan Ostmo; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F. Chiang (AMIA, 2020)

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)

Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@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)

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. - Matthew D. Li; Ken Chang; Ben Bearce; Connie Y. Chang; Ambrose J. Huang; J. Peter Campbell; James M. Brown 001; Praveer Singh; Katharina Viktoria Hoebel; Deniz Erdogmus; Stratis Ioannidis; William E. Palmer; et al. (npj Digit. Medicine, 2020)

Deep Tone Mapping Operator for High Dynamic Range Images. - Aakanksha Rana; Praveer Singh; Giuseppe Valenzise; Frédéric Dufaux; Nikos Komodakis; Aljosa Smolic (IEEE Trans. Image Process., 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)

Deploying clinical machine learning? Consider the following... - Charles Lu 001; Ken Chang; Praveer Singh; Stuart R. Pomerantz; Sean Doyle; Sujay Kakarmath; Christopher P. Bridge; Jayashree Kalpathy-Cramer (CoRR, 2021)

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. - Aaron S. Coyner; Praveer Singh; James M. Brown 001; Susan Ostmo; R. V. Paul Chan; Michael F. Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell (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)

Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. - Sourav Kumar; Anantharaman Lakshminarayanan; Ken Chang; Feri Guretno; Ivan Ho Mien; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy; Praveer Singh (DeCaF/FAIR@MICCAI, 2022)

Three Applications of Conformal Prediction for Rating Breast Density in Mammography. - Charles Lu 001; Ken Chang; Praveer Singh; Jayashree Kalpathy-Cramer (CoRR, 2022)

Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction. - Charles Lu 001; Syed Rakin Ahmed; Praveer Singh; Jayashree Kalpathy-Cramer (CoRR, 2022)

SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. - Miao Zhang; Liangqiong Qu; Praveer Singh; Jayashree Kalpathy-Cramer; Daniel L. Rubin (IEEE J. Biomed. Health Informatics, 2022)

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)

A generalized framework to predict continuous scores from medical ordinal labels. - Katharina Viktoria Hoebel; Andréanne Lemay; John Peter Campbell; Susan Ostmo; Michael F. Chiang; Christopher P. Bridge; Matthew D. Li; Praveer Singh; Aaron S. Coyner; Jayashree Kalpathy-Cramer (CoRR, 2023)

Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening. - Christopher Clark; Scott Kinder; Didem Egemen; Brian Befano; Kanan T. Desai; Syed Rakin Ahmed; Praveer Singh; Ana Cecilia Rodriguez; Jose Jeronimo; Silvia De Sanjosé; Nicolas Wentzensen; Mark Schiffman; et al. (UNSURE@MICCAI, 2024)

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)

Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. - Lakshika Rathi; Giacomo Nebbia; Ken Chang; Sourav Kumar; Aarushi Gupta; Syed Rakin Ahmed; Jay B. Patel; Christopher Clark; Yoga Advaith Veturi; Aaron S. Coyner; Aakanksha Rana; Christopher P. Bridge; et al. (FAIMI/EPIMI@MICCAI, 2024)

Privacy preservation for federated learning in health care. - Sarthak Pati; Sourav Kumar; Amokh Varma; Brandon Edwards; Charles Lu 001; Liangqiong Qu; Justin J. Wang; Anantharaman Lakshminarayanan; Shih-han Wang; Micah J. Sheller; Ken Chang; Praveer Singh; et al. (Patterns, 2024)

Re-identification of patients from imaging features extracted by foundation models. - Giacomo Nebbia; Sourav Kumar; Stephen McNamara; Christopher P. Bridge; J. Peter Campbell; Michael F. Chiang; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer (npj Digit. Medicine, 2025)