Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. - Jeffrey D. Rudie; Jeffrey T. Duda; Michael Tran Duong; Po-Hao Chen 001; Long Xie; Robert Kurtz; Jeffrey B. Ware; Joshua Choi; Raghav R. Mattay; Emmanuel J. Botzolakis; James C. Gee; R. Nick Bryan; et al. (J. Digit. Imaging, 2021)

Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning. - Michael Tran Duong; Sandhitsu R. Das; Pulkit Khandelwal; Xueying Lyu; Long Xie; Paul A. Yushkevich; David A. Wolk; Ilya M. Nasrallah (MLCN@MICCAI, 2023)

Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases. - Pulkit Khandelwal; Michael Tran Duong; Shokufeh Sadaghiani; Sydney Lim; Amanda Denning; Eunice Chung; Sadhana Ravikumar; Sanaz Arezoumandan; Claire Peterson; Madigan L. Bedard; Noah Capp; Ranjit Ittyerah; et al. (CoRR, 2023)

Surface-Based Parcellation and Vertex-wise Analysis of Ultra High-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias. - Pulkit Khandelwal; Michael Tran Duong; Lisa Levorse; Constanza Fuentes; Amanda Denning; Winifred Trotman; Ranjit Ittyerah; Alejandra Bahena; Theresa Schuck; Marianna Gabrielyan; Karthik Prabhakaran; Daniel T. Ohm; et al. (MLCN@MICCAI, 2024)

Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases. - Pulkit Khandelwal; Michael Tran Duong; Constanza Fuentes; Amanda Denning; Winifred Trotman; Ranjit Ittyerah; Alejandra Bahena; Theresa Schuck; Marianna Gabrielyan; Karthik Prabhakaran; Daniel T. Ohm; Gabor Mizsei; et al. (CoRR, 2024)