Software Framework for Realistic MRI Simulations Using the Polyhedral Fourier Transform. - Shuo Han 001; Daniel A. Herzka (SASHIMI@MICCAI, 2016)

Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation. - Lianrui Zuo; Aaron Carass; Shuo Han 001; Jerry L. Prince (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks. - Muhan Shao; Shuo Han 001; Aaron Carass; Xiang Li 063; Ari M. Blitz; Jerry L. Prince; Lotta Maria Ellingsen (MLCN/DLF/iMIMIC@MICCAI, 2018)

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. - Aaron Carass; Jennifer L. Cuzzocreo; Shuo Han 001; Carlos R. Hernandez-Castillo; Paul E. Rasser; Melanie Ganz; Vincent Beliveau; Jose Dolz; Ismail Ben Ayed; Christian Desrosiers; Benjamin Thyreau; José E. Romero; et al. (NeuroImage, 2018)

Hierarchical Parcellation of the Cerebellum. - Shuo Han 001; Aaron Carass; Jerry L. Prince (MICCAI (3), 2019)

Cerebellum parcellation with convolutional neural networks. - Shuo Han 001; Yufan He; Aaron Carass; Sarah H. Ying; Jerry L. Prince (Image Processing, 2019)

Automatic quality control using hierarchical shape analysis for cerebellum parcellation. - Lianrui Zuo; Shuo Han 001; Aaron Carass; Sarah H. Ying; Chiadikaobi U. Onyike; Jerry L. Prince (Image Processing, 2019)

Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors. - Shuo Han 001; Jerry L. Prince; Aaron Carass (MLMI@MICCAI, 2020)

Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation. - Shuo Han 001; Jerry L. Prince; Aaron Carass (Image Processing, 2020)

Longitudinal analysis of regional cerebellum volumes during normal aging. - Shuo Han 001; Yang An; Aaron Carass; Jerry L. Prince; Susan M. Resnick (NeuroImage, 2020)

Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization. - Shuo Han 001; Aaron Carass; Yufan He; Jerry L. Prince (NeuroImage, 2020)

MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. - Shuo Han 001; Samuel Remedios; Aaron Carass; Michael Schär; Jerry L. Prince (IPMI, 2021)

Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks. - Shuo Han 001; Aaron Carass; Michael Schär; Peter A. Calabresi; Jerry L. Prince (ISBI, 2021)

Joint Image and Label Self-super-Resolution. - Samuel W. Remedios; Shuo Han 001; Blake E. Dewey; Dzung L. Pham; Jerry L. Prince; Aaron Carass (SASHIMI@MICCAI, 2021)

Thalamus segmentation using convolutional neural networks. - Shangxian L. Wang; Shuo Han 001; Aaron Carass; Jiachen Zhuo; Steve Roys; Rao P. Gullapalli; Li Jiang; Jerry L. Prince (Image Processing, 2021)

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. - A. Emre Kavur; Naciye Sinem Gezer; Mustafa Baris; Sinem Aslan; Pierre-Henri Conze; Vladimir Groza; Duc Duy Pham; Soumick Chatterjee; Philipp Ernst; Savas Özkan; Bora Baydar; Dmitry A. Lachinov; et al. (Medical Image Anal., 2021)

Multiple Sclerosis brain lesion segmentation with different architecture ensembles. - Pouria Tohidi; Samuel W. Remedios; Danielle L. Greenman; Muhan Shao; Shuo Han 001; Blake E. Dewey; Jacob C. Reinhold; Yi-Yu Chou; Dzung L. Pham; Jerry L. Prince; Aaron Carass (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Coordinate Translator for Learning Deformable Medical Image Registration. - Yihao Liu 003; Lianrui Zuo; Shuo Han 001; Yuan Xue 002; Jerry L. Prince; Aaron Carass (MMMI@MICCAI, 2022)

Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. - Samuel W. Remedios; Shuo Han 001; Yuan Xue 002; Aaron Carass; Trac D. Tran; Dzung L. Pham; Jerry L. Prince (MICCAI (6), 2022)

Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. - Yuan Xue 002; Blake E. Dewey; Lianrui Zuo; Shuo Han 001; Aaron Carass; Peiyu Duan; Samuel W. Remedios; Dzung L. Pham; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (SASHIMI@MICCAI, 2022)

Disentangling a Single MR Modality. - Lianrui Zuo; Yihao Liu 003; Yuan Xue 002; Shuo Han 001; Murat Bilgel; Susan M. Resnick; Jerry L. Prince; Aaron Carass (DALI@MICCAI, 2022)

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging. - Peiyu Duan; Shuo Han 001; Lianrui Zuo; Yang An; Yihao Liu 003; Ahmed Alshareef; Junghoon Lee; Aaron Carass; Susan M. Resnick; Jerry L. Prince (Image Processing, 2022)

Coordinate Translator for Learning Deformable Medical Image Registration. - Yihao Liu 003; Lianrui Zuo; Shuo Han 001; Jerry L. Prince; Aaron Carass (CoRR, 2022)

Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data. - Yihao Liu 003; Aaron Carass; Lianrui Zuo; Yufan He; Shuo Han 001; Lorenzo Gregori; Sean Murray; Rohit Mishra; Jianqin Lei; Peter A. Calabresi; Shiv Saidha; Jerry L. Prince (IEEE Trans. Medical Imaging, 2022)

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee. - Peiyu Duan; Yuan Xue 002; Shuo Han 001; Lianrui Zuo; Aaron Carass; Caitlyn Bernhard; Savannah Hays; Peter A. Calabresi; Susan M. Resnick; James S. Duncan; Jerry L. Prince (ISBI, 2023)

Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap. - Samuel W. Remedios; Shuo Han 001; Lianrui Zuo; Aaron Carass; Dzung L. Pham; Jerry L. Prince; Blake E. Dewey (SASHIMI@MICCAI, 2023)

Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation. - Pouria Tohidi; Shuo Han 001; Lianrui Zuo; Jiachen Zhuo; Steve Roys; Aaron Carass; Rao P. Gullapalli; Jerry L. Prince (Image Processing, 2023)

ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement. - Samuel W. Remedios; Shuwen Wei; Shuo Han 001; Jinwei Zhang; Aaron Carass; Kurt G. Schilling; Dzung L. Pham; Jerry L. Prince; Blake E. Dewey (CoRR, 2025)