Classifying magnetic resonance image modalities with convolutional neural networks. - Samuel Remedios; Dzung L. Pham; John A. Butman; Snehashis Roy (Computer-Aided Diagnosis, 2018)

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. - Vishwesh Nath; Prasanna Parvathaneni; Colin B. Hansen; Allison E. Hainline; Camilo Bermudez; Samuel Remedios; Justin A. Blaber; Kurt G. Schilling; Ilwoo Lyu; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; et al. (CoRR, 2018)

Learning 3D White Matter Microstructure from 2D Histology. - Vishwesh Nath; Kurt G. Schilling; Samuel Remedios; Roza G. Bayrak; Yurui Gao; Justin A. Blaber; Yuankai Huo; Bennett A. Landman; Adam W. Anderson (ISBI, 2019)

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. - Vishwesh Nath; Samuel Remedios; Prasanna Parvathaneni; Colin B. Hansen; Roza G. Bayrak; Camilo Bermudez; Justin A. Blaber; Kurt G. Schilling; Vaibhav A. Janve; Yurui Gao; Yuankai Huo; Ilwoo Lyu; et al. (Image Processing, 2019)

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. - Samuel Remedios; Snehashis Roy; Justin A. Blaber; Camilo Bermudez; Vishwesh Nath; Mayur B. Patel; John A. Butman; Bennett A. Landman; Dzung L. Pham (Image Processing, 2019)

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. - Samuel W. Remedios; John A. Butman; Bennett A. Landman; Dzung L. Pham (DART/DCL@MICCAI, 2020)

Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning. - Camilo Bermudez; Justin A. Blaber; Samuel W. Remedios; Jess E. Reynolds; Catherine Lebel; Maureen McHugo; Stephan Heckers; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. - Samuel Remedios; Zihao Wu 003; Camilo Bermudez; Cailey I. Kerley; Snehashis Roy; Mayur B. Patel; John A. Butman; Bennett A. Landman; Dzung L. Pham (Image Processing, 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)

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)

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)

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)

Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning. - Yi-Yu Chou; Samuel W. Remedios; John A. Butman; Dzung L. Pham (Image Processing, 2022)

Efficient quality control with mixed CT and CTA datasets. - Lucas W. Remedios; Leon Y. Cai; Colin B. Hansen; Samuel W. Remedios; Bennett A. Landman (Image Processing, 2022)

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)

Unsupervised quality assurance for brain MR image rigid registration using latent shape representation. - Yuan Xue 002; Lianrui Zuo; Samuel W. Remedios; Blake E. Dewey; Peiyu Duan; Yihao Liu 003; Rendong Zhang; Scott D. Newsome; Ellen M. Mowry; Aaron Carass; Jerry L. Prince (Image Processing, 2023)

A deep generative prior for high-resolution isotropic MR head slices. - Samuel W. Remedios; Blake E. Dewey; Aaron Carass; Dzung L. Pham; Jerry L. Prince (Image Processing, 2023)

Exploring shared memory architectures for end-to-end gigapixel deep learning. - Lucas W. Remedios; Leon Y. Cai; Samuel W. Remedios; Karthik Ramadass; Aravind R. Krishnan; Ruining Deng; Can Cui 006; Shunxing Bao; Lori A. Coburn; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

AniRes2D: Anisotropic Residual-enhanced Diffusion for 2D MR Super-Resolution. - Zejun Wu; Samuel W. Remedios; Blake E. Dewey; Aaron Carass; Jerry L. Prince (CoRR, 2023)

HACA3: A unified approach for multi-site MR image harmonization. - Lianrui Zuo; Yihao Liu 003; Yuan Xue 002; Blake E. Dewey; Samuel W. Remedios; Savannah Hays; Murat Bilgel; Ellen M. Mowry; Scott D. Newsome; Peter A. Calabresi; Susan M. Resnick; Jerry L. Prince; et al. (Comput. Medical Imaging Graph., 2023)

Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion. - Jinwei Zhang; Lianrui Zuo; Blake E. Dewey; Samuel W. Remedios; Dzung L. Pham; Aaron Carass; Jerry L. Prince (ISBI, 2024)

Beyond MR Image Harmonization: Resolution Matters Too. - Savannah Hays; Samuel W. Remedios; Lianrui Zuo; Ellen M. Mowry; Scott D. Newsome; Peter A. Calabresi; Aaron Carass; Blake E. Dewey; Jerry L. Prince (SASHIMI@MICCAI, 2024)

TS-SR3: Time-Strided Denoising Diffusion Probabilistic Model for MR Super-Resolution. - Zejun Wu; Samuel W. Remedios; Blake E. Dewey; Aaron Carass; Jerry L. Prince (MLMI@MICCAI (1), 2024)

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. - Ho Hin Lee; Adam M. Saunders; Michael E. Kim; Samuel W. Remedios; Yucheng Tang; Qi Yang 004; Xin Yu 010; Shunxing Bao; Chloe Cho; Louise A. Mawn; Tonia S. Rex; Kevin L. Schey; et al. (CoRR, 2024)

Nucleus subtype classification using inter-modality learning. - Lucas W. Remedios; Shunxing Bao; Samuel W. Remedios; Ho Hin Lee; Leon Y. Cai; Thomas Z. Li; Ruining Deng; Can Cui 006; Jia Li 027; Qi Liu 024; Ken S. Lau; Joseph T. Roland; et al. (CoRR, 2024)

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. - Lucas W. Remedios; Shunxing Bao; Samuel W. Remedios; Ho Hin Lee; Leon Y. Cai; Thomas Z. Li; Ruining Deng; Nancy R. Newlin; Adam M. Saunders; Can Cui 006; Jia Li 027; Qi Liu 024; et al. (CoRR, 2024)

Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI. - Lucas W. Remedios; Han Liu; Samuel W. Remedios; Lianrui Zuo; Adam M. Saunders; Shunxing Bao; Yuankai Huo; Alvin C. Powers; John Virostko; Bennett A. Landman (CoRR, 2024)

Unique MS Lesion Identification from MRI. - Carlos A. Rivas; Jinwei Zhang; Shuwen Wei; Samuel W. Remedios; Aaron Carass; Jerry L. Prince (CoRR, 2024)

Brightness-Invariant Tracking Estimation in Tagged MRI. - Zhangxing Bian; Shuwen Wei; Xiao Liang; Yuan-Chiao Lu; Samuel W. Remedios; Fangxu Xing; Jonghye Woo; Dzung L. Pham; Aaron Carass; Philip V. Bayly; Jiachen Zhuo; Ahmed Alshareef; et al. (IPMI (2), 2025)

Cycle-Consistent Zero-Shot Through-Plane Super-Resolution for Anisotropic Head MRI. - Samuel W. Remedios; Shuwen Wei; Aaron Carass; Blake E. Dewey; Jerry L. Prince (IPMI (1), 2025)

Measuring Impact of Super-Resolution on Spinal Cord MRI Scans: Lesion Detection Sensitivity, Variability, and Clinical Impact. - Greyson A. Wintergerst; Samuel W. Remedios; Allen T. Newton; Seth A. Smith; Bennett A. Landman; Kurt G. Schilling (ISBI, 2025)

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)