Reverse Engineering the Brain with a Circuit Diagram Based on a Segmented Connectome and System Dynamics. - Walter Schneider; Michael W. Cole; Sudhir K. Pathak (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2008)

High Definition Fiber Tracking Exposes Circuit Diagram for Brain Showing Triarchic Representation, Domain General Control, and Metacognitive Subsystems. - Walter Schneider; Sudhir K. Pathak; Jeffrey S. Phillips; Micahel Cole (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Identifying the brain's most globally connected regions. - Michael W. Cole; Sudhir K. Pathak; Walter Schneider (NeuroImage, 2010)

3D Convolutional Neural Network Segmentation of White Matter Tract Masks from MR Diffusion Anisotropy Maps. - Kristofer Pomiecko; Carson Sestili; Kate Fissell; Sudhir K. Pathak; David O. Okonkwo; Walter Schneider (ISBI, 2019)

Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net). - Ranjeet Ranjan Jha; Aditya Nigam; Arnav Bhavsar; Sudhir K. Pathak; Walter Schneider; Rathish Kumar (EMBC, 2020)

HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. - Ranjeet Ranjan Jha; Aditya Nigam; Arnav Bhavsar; Gaurav Jaswal; Sudhir K. Pathak; Rathish Kumar (IJCNN, 2020)

Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI. - Vishwesh Nath; Sudhir K. Pathak; Kurt G. Schilling; Walt Schneider; Bennett A. Landman (Image Processing, 2020)

Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN. - Ranjeet Ranjan Jha; Hritik Gupta; Sudhir K. Pathak; Walter Schneider; B. V. Rathish Kumar; Arnav Bhavsar; Aditya Nigam (ISBI, 2021)

HealthDist: A Context, Location and Preference-Aware System for Safe Navigation. - Brian T. Nixon; Sayantani Bhattacharjee; Benjamin Graybill; Constantinos Costa; Sudhir K. Pathak; Walter Schneider; Panos K. Chrysanthis (MDM, 2021)

Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome. - Susie Yi Huang; Thomas Witzel; Boris Keil; Alina Scholz; Mathias Davids; Peter Dietz; Elmar Rummert; Rebecca Ramb; John E. Kirsch; Anastasia Yendiki; Qiuyun Fan; Qiyuan Tian; et al. (NeuroImage, 2021)

LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention. - Ranjeet Ranjan Jha; Sudhir K. Pathak; Walter Schneider; B. V. Rathish Kumar; Arnav Bhavsar; Aditya Nigam (ISBI, 2022)

PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. - Ranjeet Ranjan Jha; Hritik Gupta; Sudhir K. Pathak; Ankita Joshi; Walter Schneider; B. V. Rathish Kumar; Arnav Bhavsar; Aditya Nigam (ISBI, 2023)

TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules. - Ranjeet Ranjan Jha; B. V. Rathish Kumar; Sudhir K. Pathak; Arnav Bhavsar; Aditya Nigam (Medical Image Anal., 2023)

Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver. - Ranjeet Ranjan Jha; B. V. Rathish Kumar; Sudhir K. Pathak; Walter Schneider; Arnav Bhavsar; Aditya Nigam (Comput. Methods Programs Biomed., 2023)

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. - Nancy Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Joseph Yuan-Mou Yang; Ye Wu 001; Nagesh Adluru; Vishwesh Nath; et al. (CDMRI@MICCAI, 2024)

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. - Nancy R. Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Jian Chen; Joseph Yuan-Mou Yang; Ye Wu; Yifei He; et al. (CoRR, 2024)

A colour image segmentation method and its application to medical images. - Abdul Halim; B. V. Rathish Kumar; Ajay Niranjan; Aditya Nigam; Walter Schneider; Chirag Kamal Ahuja; Sudhir K. Pathak (Signal Image Video Process., 2024)