DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI. - Tanweer Rashid; Ahmed Abdulkadir; Ilya M. Nasrallah; Jeffrey B. Ware; Pascal Spincemaille; J. Rafael Romero; R. Nick Bryan; Susan R. Heckbert; Mohamad Habes (CoRR, 2020)

Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds. - Hangfan Liu; Tanweer Rashid; Jeffrey B. Ware; Paul Jensen; Thomas Austin; Ilya M. Nasrallah; Robert B. Fisher; Susan R. Heckbert; Mohamad Habes (MICCAI (6), 2021)

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI. - Tanweer Rashid; Hangfan Liu; Jeffrey B. Ware; Karl Li; Jose Rafael Romero; Elyas Fadaee; Ilya M. Nasrallah; Saima Hilal; R. Nick Bryan; Timothy M. Hughes; Christos Davatzikos; Lenore J. Launer; et al. (CoRR, 2022)

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. - Xihao Li; Han Chen; Margaret Sunitha Selvaraj; Eric Van Buren; Hufeng Zhou; Yuxuan Wang 008; Ryan Sun; Zachary R. McCaw; Zhi Yu; Min-Zhi Jiang; Daniel DiCorpo; Sheila M. Gaynor; et al. (Nat. Comput. Sci., 2025)