Analyzing Brain Structural Connectivity as Continuous Random Functions. - William Consagra; Martin Cole; Zhengwu Zhang (MICCAI (8), 2022)

Optimized Diffusion Imaging for Brain Structural Connectome Analysis. - William Consagra; Arun Venkataraman; Zhengwu Zhang (IEEE Trans. Medical Imaging, 2022)

A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. - Tengfei Xue; Hazhar Sufi Karimi; William Consagra; Fan Zhang 013; Weidong Cai 001; Lauren J. O'Donnell; Lipeng Ning; Yogesh Rathi (ISBI, 2023)

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. - Mohammed Munzer Dwedari; William Consagra; Philip Müller; Özgün Turgut; Daniel Rueckert; Yogesh Rathi (MICCAI (7), 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)

Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems. - William Consagra; Arun Venkataraman; Xing Qiu (J. Comput. Graph. Stat., 2024)

Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI. - William Consagra; Lipeng Ning; Yogesh Rathi (Medical Image Anal., 2024)

A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI. - William Consagra; Lipeng Ning; Yogesh Rathi (Medical Image Anal., 2025)

NeuroPMD: Neural Fields for Density Estimation on Product Manifolds. - William Consagra; Zhiling Gu; Zhengwu Zhang (CoRR, 2025)

Rapid Whole Brain Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation. - Jun Lyu; Lipeng Ning; William Consagra; Qiang Liu; Richard J. Rushmore; Berkin Bilgic; Yogesh Rathi (CoRR, 2025)