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Shuo Han 0001
Person information
- affiliation: Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Shuo Han — disambiguation page
- Shuo Han 0002
— University of Illinois at Chicago, IL, USA (and 2 more)
- Shuo Han 0003 — Tianjin University of Technology and Education, Tianjin, China
- Shuo Han 0004
- Shuo Han 0005 — Purdue University, West Lafayette, Indiana, USA
- Shuo Han 0006 — University of Toronto, Toronto, ON, Canada
- Shuo Han 0007 — Harbin Institute of Technology, Harbin, China
- Shuo Han 0008 — National Taipei University, New Taipei City, Taiwan
- Shuo Han 0009 — University of Massachusetts Lowell, Lowell, MA, USA
- Shuo Han 0010 — Peking University, Beijing, China
- Shuo Han 0011 — California Institute of Technology, Pasadena, CA, USA
- Shuo Han 0012 — Northeastern University, Shenyang, China
- Shuo Han 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Shuo Han 0014 — Dalian Maritime University, Dalian, China
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2020 – today
- 2023
- [c21]Peiyu Duan, Yuan Xue, Shuo Han, Lianrui Zuo, Aaron Carass, Caitlyn Bernhard, Savannah Hays, Peter A. Calabresi, Susan M. Resnick, James S. Duncan, Jerry L. Prince:
Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee. ISBI 2023: 1-5 - [c20]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 - [c19]Pouria Tohidi, Shuo Han, Lianrui Zuo, Jiachen Zhuo, Steve Roys, Aaron Carass, Rao P. Gullapalli, Jerry L. Prince:
Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation. Medical Imaging: Image Processing 2023 - 2022
- [j5]Yihao Liu
Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data. IEEE Trans. Medical Imaging 41(12): 3686-3698 (2022) - [c18]Pouria Tohidi
Multiple Sclerosis brain lesion segmentation with different architecture ensembles. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c17]Lianrui Zuo, Yihao Liu, Yuan Xue, Shuo Han, Murat Bilgel, Susan M. Resnick, Jerry L. Prince, Aaron Carass:
Disentangling a Single MR Modality. DALI@MICCAI 2022: 54-63 - [c16]Yuan Xue
Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. SASHIMI@MICCAI 2022: 55-65 - [c15]Yihao Liu, Lianrui Zuo, Shuo Han, Yuan Xue, Jerry L. Prince, Aaron Carass:
Coordinate Translator for Learning Deformable Medical Image Registration. MMMI@MICCAI 2022: 98-109 - [c14]Samuel W. Remedios, Shuo Han, Yuan Xue
Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. MICCAI (6) 2022: 613-622 - [c13]Peiyu Duan, Shuo Han, Lianrui Zuo, Yang An, Yihao Liu, Ahmed Alshareef, Junghoon Lee, Aaron Carass, Susan M. Resnick, Jerry L. Prince:
Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging. Medical Imaging: Image Processing 2022 - [i5]Yihao Liu, Lianrui Zuo, Shuo Han, Jerry L. Prince, Aaron Carass:
Coordinate Translator for Learning Deformable Medical Image Registration. CoRR abs/2203.03626 (2022) - [i4]Lianrui Zuo, Yihao Liu, Yuan Xue, Shuo Han, Murat Bilgel, Susan M. Resnick, Jerry L. Prince, Aaron Carass:
Disentangling A Single MR Modality. CoRR abs/2205.04982 (2022) - [i3]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
- [j4]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [c12]Shuo Han
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. IPMI 2021: 108-119 - [c11]Shuo Han, Aaron Carass, Michael Schär, Peter A. Calabresi, Jerry L. Prince:
Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks. ISBI 2021: 145-149 - [c10]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 - [c9]Shangxian L. Wang, Shuo Han, Aaron Carass, Jiachen Zhuo, Steve Roys, Rao P. Gullapalli, Li Jiang, Jerry L. Prince:
Thalamus segmentation using convolutional neural networks. Medical Imaging: Image Processing 2021 - [i2]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
- [j3]Shuo Han, Aaron Carass, Yufan He, Jerry L. Prince:
Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization. NeuroImage 218: 116819 (2020) - [j2]Shuo Han, Yang An, Aaron Carass
Longitudinal analysis of regional cerebellum volumes during normal aging. NeuroImage 220: 117062 (2020) - [c8]Shuo Han, Jerry L. Prince, Aaron Carass:
Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors. MLMI@MICCAI 2020: 404-413 - [c7]Shuo Han, Jerry L. Prince, Aaron Carass:
Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation. Medical Imaging: Image Processing 2020: 1131337 - [i1]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020)
2010 – 2019
- 2019
- [c6]Shuo Han, Aaron Carass, Jerry L. Prince:
Hierarchical Parcellation of the Cerebellum. MICCAI (3) 2019: 484-491 - [c5]Shuo Han, Yufan He, Aaron Carass, Sarah H. Ying, Jerry L. Prince:
Cerebellum parcellation with convolutional neural networks. Medical Imaging: Image Processing 2019: 109490K - [c4]Lianrui Zuo, Shuo Han, Aaron Carass, Sarah H. Ying, Chiadikaobi U. Onyike, Jerry L. Prince:
Automatic quality control using hierarchical shape analysis for cerebellum parcellation. Medical Imaging: Image Processing 2019: 109490J - 2018
- [j1]Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage 183: 150-172 (2018) - [c3]Lianrui Zuo, Aaron Carass, Shuo Han, Jerry L. Prince:
Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780D - [c2]Muhan Shao, Shuo Han, Aaron Carass, Xiang Li, Ari M. Blitz, Jerry L. Prince, Lotta Maria Ellingsen
Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks. MLCN/DLF/iMIMIC@MICCAI 2018: 79-86 - 2016
- [c1]Shuo Han, Daniel A. Herzka
Software Framework for Realistic MRI Simulations Using the Polyhedral Fourier Transform. SASHIMI@MICCAI 2016: 3-12
Coauthor Index
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