Dong Hye Ye
Title
Cited by
Cited by
Year
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993, 2015
23862015
GRAM: A framework for geodesic registration on anatomical manifolds
J Hamm, DH Ye, R Verma, C Davatzikos
Medical image analysis 14 (5), 633-642, 2010
1282010
Context-sensitive classification forests for segmentation of brain tumor tissues
D Zikic, B Glocker, E Konukoglu, J Shotton, A Criminisi, D Ye, C Demiralp, ...
Proc MICCAI-BraTS, 1-8, 2012
1012012
Modality propagation: coherent synthesis of subject-specific scans with data-driven regularization
DH Ye, D Zikic, B Glocker, A Criminisi, E Konukoglu
International Conference on Medical Image Computing and Computer-Assisted …, 2013
952013
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
HuBMAP Consortium
Nature 574 (7777), 187, 2019
762019
Multi-target detection and tracking from a single camera in Unmanned Aerial Vehicles (UAVs)
J Li, DH Ye, T Chung, M Kolsch, J Wachs, C Bouman
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
602016
Semi-supervised pattern classification: application to structural MRI of Alzheimer's disease
DH Ye, KM Pohl, C Davatzikos
2011 International Workshop on Pattern Recognition in NeuroImaging, 1-4, 2011
432011
A supervised learning approach for dynamic sampling
GM Godaliyadda, DH Ye, MD Uchic, MA Groeber, GT Buzzard, ...
Electronic Imaging 2016 (19), 1-8, 2016
282016
Disease classification and prediction via semi-supervised dimensionality reduction
KN Batmanghelich, HY Dong, KM Pohl, B Taskar, C Davatzikos
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
282011
A Framework for Dynamic Image Sampling Based on Supervised Learning
GM Godaliyadda, DH Ye, MD Uchic, MA Groeber, GT Buzzard, ...
IEEE Transactions on Computational Imaging 4 (1), 1-16, 2017
26*2017
Regional Manifold Learning for Disease Classification
D Ye, B Desjardins, J Hamm, H Litt, K Pohl
Medical Imaging, IEEE Transactions on 33 (6), 1236-1247, 2014
242014
Regional manifold learning for deformable registration of brain MR images
DH Ye, J Hamm, D Kwon, C Davatzikos, KM Pohl
International Conference on Medical Image Computing and Computer-Assisted …, 2012
242012
Deep learning for moving object detection and tracking from a single camera in unmanned aerial vehicles (UAVs)
DH Ye, J Li, Q Chen, J Wachs, C Bouman
Electronic Imaging 2018 (10), 466-1-466-6, 2018
232018
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT
R Zhang, DH Ye, D Pal, JB Thibault, KD Sauer, CA Bouman
IEEE Transactions on Computational Imaging 2 (3), 359 - 374, 2016
222016
Validation of DRAMMS among 12 popular methods in cross-subject cardiac MRI registration
Y Ou, DH Ye, KM Pohl, C Davatzikos
International Workshop on Biomedical Image Registration, 209-219, 2012
212012
Dynamic x-ray diffraction sampling for protein crystal positioning
NM Scarborough, GMDP Godaliyadda, DH Ye, DJ Kissick, S Zhang, ...
Journal of synchrotron radiation 24 (1), 188-195, 2017
202017
Deep residual learning for model-based iterative ct reconstruction using plug-and-play framework
DH Ye, S Srivastava, JB Thibault, K Sauer, C Bouman
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
182018
Joint metal artifact reduction and segmentation of CT images using dictionary-based image prior and continuous-relaxed potts model
P Jin, DH Ye, CA Bouman
2015 IEEE International Conference on Image Processing (ICIP), 798-802, 2015
182015
Dynamic sparse sampling for confocal Raman microscopy
S Zhang, Z Song, GMDP Godaliyadda, DH Ye, AU Chowdhury, ...
Analytical chemistry 90 (7), 4461-4469, 2018
122018
2.5 D deep learning for CT image reconstruction using a multi-GPU implementation
A Ziabari, DH Ye, S Srivastava, KD Sauer, JB Thibault, CA Bouman
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2044-2049, 2018
112018
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