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ORCIDSamuel Remedios
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2020 – today
- 2025
[e1]Virginia Fernandez
, Jelmer M. Wolterink, David Wiesner, Samuel Remedios, Lianrui Zuo, Adrià Casamitjana:
Simulation and Synthesis in Medical Imaging - 9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15187, Springer 2025, ISBN 978-3-031-73280-5 [contents]- 2024
- [c20]Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince:
Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion. ISBI 2024: 1-5 - [c19]Savannah Hays, Samuel W. Remedios, Lianrui Zuo, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Aaron Carass, Blake E. Dewey, Jerry L. Prince:
Beyond MR Image Harmonization: Resolution Matters Too. SASHIMI@MICCAI 2024: 34-44 - [c18]Zejun Wu, Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Jerry L. Prince:
TS-SR3: Time-Strided Denoising Diffusion Probabilistic Model for MR Super-Resolution. MLMI@MICCAI (1) 2024: 248-258 - [i14]Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman:
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. CoRR abs/2401.03060 (2024) - [i13]Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Nucleus subtype classification using inter-modality learning. CoRR abs/2401.05602 (2024) - [i12]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, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR abs/2407.06116 (2024) - [i11]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:
Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI. CoRR abs/2409.04563 (2024) - 2023
- [j1]Lianrui Zuo, Yihao Liu, Yuan Xue, 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, Aaron Carass:
HACA3: A unified approach for multi-site MR image harmonization. Comput. Medical Imaging Graph. 109: 102285 (2023) - [c17]Samuel W. Remedios, Shuo Han, Lianrui Zuo, Aaron Carass, Dzung L. Pham, Jerry L. Prince, Blake E. Dewey:
Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap. SASHIMI@MICCAI 2023: 118-128 - [c16]Yuan Xue, Lianrui Zuo, Samuel W. Remedios, Blake E. Dewey, Peiyu Duan, Yihao Liu, Rendong Zhang, Scott D. Newsome, Ellen M. Mowry, Aaron Carass, Jerry L. Prince:
Unsupervised quality assurance for brain MR image rigid registration using latent shape representation. Medical Imaging: Image Processing 2023 - [c15]Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Dzung L. Pham, Jerry L. Prince:
A deep generative prior for high-resolution isotropic MR head slices. Medical Imaging: Image Processing 2023 - [i10]Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman:
Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR abs/2304.12149 (2023) - [i9]Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince:
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. CoRR abs/2312.01460 (2023) - [i8]Zejun Wu, Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Jerry L. Prince:
AniRes2D: Anisotropic Residual-enhanced Diffusion for 2D MR Super-Resolution. CoRR abs/2312.04385 (2023) - 2022
- [c14]Pouria Tohidi, Samuel W. Remedios, Danielle L. Greenman, Muhan Shao, Shuo Han, Blake E. Dewey, Jacob C. Reinhold, Yi-Yu Chou, Dzung L. Pham, Jerry L. Prince, Aaron Carass:
Multiple Sclerosis brain lesion segmentation with different architecture ensembles. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c13]Yuan Xue, Blake E. Dewey, Lianrui Zuo, Shuo Han, Aaron Carass, Peiyu Duan, Samuel W. Remedios, Dzung L. Pham, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. SASHIMI@MICCAI 2022: 55-65 - [c12]Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince:
Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. MICCAI (6) 2022: 613-622 - [c11]Yi-Yu Chou, Samuel W. Remedios, John A. Butman, Dzung L. Pham:
Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning. Medical Imaging: Image Processing 2022 - [c10]Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman:
Efficient quality control with mixed CT and CTA datasets. Medical Imaging: Image Processing 2022 - [i7]Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince:
Deep filter bank regression for super-resolution of anisotropic MR brain images. CoRR abs/2209.02611 (2022) - 2021
- [c9]Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince:
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. IPMI 2021: 108-119 - [c8]Samuel W. Remedios, Shuo Han, Blake E. Dewey, Dzung L. Pham, Jerry L. Prince, Aaron Carass:
Joint Image and Label Self-super-Resolution. SASHIMI@MICCAI 2021: 14-23 - [i6]Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince:
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. CoRR abs/2104.00100 (2021) - 2020
- [c7]Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. DART/DCL@MICCAI 2020: 170-180 - [c6]Camilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman:
Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning. Medical Imaging: Image Processing 2020: 113130L - [c5]Samuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. Medical Imaging: Image Processing 2020: 113130F
2010 – 2019
- 2019
- [c4]Vishwesh Nath, Kurt G. Schilling, Samuel Remedios, Roza G. Bayrak, Yurui Gao, Justin A. Blaber, Yuankai Huo, Bennett A. Landman, Adam W. Anderson:
Learning 3D White Matter Microstructure from 2D Histology. ISBI 2019: 186-190 - [c3]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, Owen A. Williams, Susan M. Resnick, Lori L. Beason-Held, Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. Medical Imaging: Image Processing 2019: 109490O - [c2]Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. Medical Imaging: Image Processing 2019: 109490A - [i5]Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. CoRR abs/1903.04207 (2019) - [i4]Camilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman:
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning. CoRR abs/1908.04702 (2019) - [i3]Samuel W. Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. CoRR abs/1911.05650 (2019) - 2018
- [c1]Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy:
Classifying magnetic resonance image modalities with convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2018: 105752I - [i2]Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy:
Classifying magnetic resonance image modalities with convolutional neural networks. CoRR abs/1804.05764 (2018) - [i1]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, Baxter P. Rogers, Allen T. Newton, Larry Taylor Davis, Jeffrey Luci, Adam W. Anderson, Bennett A. Landman:
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. CoRR abs/1810.04260 (2018)
Coauthor Index
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