ThetA - fast and robust clustering via a distance parameter. - Eleftherios Garyfallidis; Shreyas Fadnavis; Jong Sung Park; Bramsh Qamar Chandio; Javier Guaje; Serge Koudoro; Nasim Anousheh (CoRR, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

FiberNeat: Unsupervised White Matter Tract Filtering. - Bramsh Qamar Chandio; Tamoghna Chattopadhyay; Conor Owens-Walton; Julio E. Villalon-Reina; Leila Nabulsi; Sophia I. Thomopoulos; Eleftherios Garyfallidis; Paul M. Thompson (EMBC, 2022)

Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting. - Yixue Feng 001; Bramsh Qamar Chandio; Sophia I. Thomopoulos; Tamoghna Chattopadhyay; Paul M. Thompson (EMBC, 2023)

Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study. - Leila Nabulsi; Bramsh Qamar Chandio; Nikhil J. Dhinagar; Emily Laltoo; Genevieve McPhilemy; Fiona M. Martyn; Brian Hallahan; Colm McDonald; Paul M. Thompson; Dara M. Cannon (EMBC, 2023)

BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data. - Yixue Feng 001; Bramsh Qamar Chandio; Julio E. Villalon-Reina; Sophia I. Thomopoulos; Himanshu Joshi; Gauthami Nair; Anand A. Joshi; Ganesan Venkatasubramanian; John P. John; Paul M. Thompson (CDMRI@MICCAI, 2023)

Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI Tractometry. - Leila Nabulsi; Bramsh Qamar Chandio; Genevieve McPhilemy; Fiona M. Martyn; Gloria M. P. Roberts; Brian Hallahan; Udo Dannlowski; Tilo Kircher; Benno Haarman; Philip B. Mitchell; Colm McDonald; Dara M. Cannon; et al. (SIPAIM, 2023)

Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease. - Yixue Feng 001; Bramsh Qamar Chandio; Julio E. Villalon-Reina; Sebastian M. Benavidez; Tamoghna Chattopadhyay; Sasha Chehrzadeh; Emily Laltoo; Sophia I. Thomopoulos; Himanshu Joshi; Ganesan Venkatasubramanian; John P. John; Neda Jahanshad; et al. (EMBC, 2024)

Bundle Analytics based Data Harmonization for Multi-Site Diffusion MRI Tractometry. - Bramsh Qamar Chandio; Julio E. Villalon-Reina; Talia M. Nir; Sophia I. Thomopoulos; Yixue Feng 001; Sebastian M. Benavidez; Neda Jahanshad; Jaroslaw Harezlak; Eleftherios Garyfallidis; Paul M. Thompson (EMBC, 2024)

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)

BundleAGE: Predicting White Matter Age using Along-Tract Microstructural Profiles from Diffusion MRI. - Yixue Feng 001; Julio E. Villalon-Reina; Talia M. Nir; Bramsh Qamar Chandio; Neda Jahanshad; Paul M. Thompson (SIPAIM, 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)

White Matter Microstructural Alterations in Autism Localized with Bundle Analytics. - Gaon S. Kim; Bramsh Qamar Chandio; Sebastian M. Benavidez; Paul M. Thompson; Katherine E. Lawrence (ISBI, 2025)