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)

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)

Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning. - Rachel Madhogarhia; Anahita Fathi Kazerooni; Sherjeel Arif; Jeffrey B. Ware; Ariana M. Familiar; Lorenna Vidal; Sina Bagheri; Hannah Anderson; Debanjan Haldar; Sophie Yagoda; Erin Graves; Michael Spadola; et al. (Computer-Aided Diagnosis, 2022)

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)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. - Ariana M. Familiar; Anahita Fathi Kazerooni; Hannah Anderson; Aliaksandr Lubneuski; Karthik Viswanathan; Rocky Breslow; Nastaran Khalili; Sina Bagheri; Debanjan Haldar; Meen Chul Kim; Sherjeel Arif; Rachel Madhogarhia; et al. (CoRR, 2023)

Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors. - Arastoo Vossough; Nastaran Khalili; Ariana M. Familiar; Deep Gandhi; Karthik Viswanathan; Wenxin Tu; Debanjan Haldar; Sina Bagheri; Hannah Anderson; Shuvanjan Haldar; Phillip B. Storm; Adam C. Resnick; et al. (CoRR, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)