Shuo Han 韩烁
Shuo Han 韩烁
Graduate Student, Johns Hopkins University
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Citado por
CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation
AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ...
Medical Image Analysis 69, 101950, 2021
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
A Carass, JL Cuzzocreo, S Han, CR Hernandez-Castillo, PE Rasser, ...
NeuroImage 183, 150-172, 2018
Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization
S Han, A Carass, Y He, JL Prince
NeuroImage 218, 116819, 2020
Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly
M Shao, S Han, A Carass, X Li, AM Blitz, J Shin, JL Prince, LM Ellingsen
NeuroImage: Clinical 23, 101871, 2019
Longitudinal analysis of regional cerebellum volumes during normal aging
S Han, Y An, A Carass, JL Prince, SM Resnick
NeuroImage 220, 117062, 2020
Shortcomings of ventricle segmentation using deep convolutional networks
M Shao, S Han, A Carass, X Li, AM Blitz, JL Prince, LM Ellingsen
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
Coordinate Translator for Learning Deformable Medical Image Registration
Y Liu, L Zuo, S Han, Y Xue, JL Prince, A Carass
International Workshop on Multiscale Multimodal Medical Imaging, 98-109, 2022
Cerebellum parcellation with convolutional neural networks
S Han, Y He, A Carass, SH Ying, JL Prince
Medical Imaging 2019: Image Processing 10949, 143-148, 2019
Disentangled representation learning for octa vessel segmentation with limited training data
Y Liu, A Carass, L Zuo, Y He, S Han, L Gregori, S Murray, R Mishra, J Lei, ...
IEEE transactions on medical imaging, 2022
A standardized pipeline for examining human cerebellar grey matter morphometry using structural magnetic resonance imaging
R Kerestes, S Han, S Balachander, C Hernandez-Castillo, JL Prince, ...
J Vis Exp 4 (180), 2022
Realistic analytical polyhedral MRI phantoms
TM Ngo, GSK Fung, S Han, M Chen, JL Prince, BMW Tsui, ER McVeigh, ...
Magnetic resonance in medicine 76 (2), 663-678, 2016
Disentangling A Single MR Modality
L Zuo, Y Liu, Y Xue, S Han, M Bilgel, SM Resnick, JL Prince, A Carass
arXiv preprint arXiv:2205.04982, 2022
Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation
L Zuo, A Carass, S Han, JL Prince
Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018
Joint Image and Label Self-super-Resolution
SW Remedios, S Han, BE Dewey, DL Pham, JL Prince, A Carass
International Workshop on Simulation and Synthesis in Medical Imaging, 14-23, 2021
Deep filter bank regression for super-resolution of anisotropic MR brain images
SW Remedios, S Han, Y Xue, A Carass, TD Tran, DL Pham, JL Prince
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Multiple Sclerosis brain lesion segmentation with different architecture ensembles
P Tohidi, SW Remedios, DL Greenman, M Shao, S Han, BE Dewey, ...
Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and …, 2022
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
S Han, S Remedios, A Carass, M Schär, JL Prince
International Conference on Information Processing in Medical Imaging, 108-119, 2021
Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks
S Han, A Carass, M Schär, PA Calabresi, JL Prince
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 145-149, 2021
Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors
S Han, JL Prince, A Carass
International Workshop on Machine Learning in Medical Imaging, 404-413, 2020
ESPRESO: An algorithm to estimate the slice profile of a single magnetic resonance image
S Han, SW Remedios, M Schär, A Carass, JL Prince
Magnetic Resonance Imaging 98, 155-163, 2023
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Artículos 1–20