Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. - Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2019)

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. - Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Sahil S. Nalawade; Gowtham Krishnan Murugesan; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2019)

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. - Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; Benjamin C. Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (1), 2020)

BrainNET: Inference of Brain Network Topology Using Machine Learning. - Gowtham Krishnan Murugesan; Chandan Ganesh Bangalore Yogananda; Sahil S. Nalawade; Elizabeth M. Davenport; Benjamin C. Wagner; Won Hwa Kim; Joseph A. Maldjian (Brain Connect., 2020)

Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. - Sahil S. Nalawade; Chandan Ganesh; Benjamin C. Wagner; Divya D. Reddy; Yudhajit Das; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2021)

Disparity Autoencoders for Multi-class Brain Tumor Segmentation. - Chandan Ganesh Bangalore Yogananda; Yudhajit Das; Benjamin C. Wagner; Sahil S. Nalawade; Divya D. Reddy; James M. Holcomb; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 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)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center. - James Wen; Sahil S. Nalawade; Zhiwei Liang; Catherine Bielick; Marisa Ferrara Boston; Alexander Chowdhury; Adele Collin; Luigi De Angelis; Jacob Ellen; Heather Frase; Rodrigo R. Gameiro; Juan Manuel Gutierrez; et al. (CoRR, 2025)