Yiqiang Zhan
Cited by
Cited by
Segmentation of prostate boundaries from ultrasound images using statistical shape model
D Shen, Y Zhan, C Davatzikos
IEEE transactions on medical imaging 22 (4), 539-551, 2003
Towards robust and effective shape modeling: Sparse shape composition
S Zhang, Y Zhan, M Dewan, J Huang, DN Metaxas, XS Zhou
Medical image analysis 16 (1), 265-277, 2012
Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method
Y Zhan, D Shen
IEEE transactions on medical imaging 25 (3), 256-272, 2006
Multi-instance deep learning: Discover discriminative local anatomies for bodypart recognition
Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, S Zhang, DN Metaxas, ...
IEEE transactions on medical imaging 35 (5), 1332-1343, 2016
Deformable segmentation via sparse representation and dictionary learning
S Zhang, Y Zhan, DN Metaxas
Medical image analysis 16 (7), 1385-1396, 2012
Whole-body PET/MR imaging: quantitative evaluation of a novel model-based MR attenuation correction method including bone
DH Paulus, HH Quick, C Geppert, M Fenchel, Y Zhan, G Hermosillo, ...
Journal of Nuclear Medicine 56 (7), 1061-1066, 2015
Recognizing end-diastole and end-systole frames via deep temporal regression network
B Kong, Y Zhan, M Shin, T Denny, S Zhang
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
Design efficient support vector machine for fast classification
Y Zhan, D Shen
Pattern Recognition 38 (1), 157-161, 2005
Deep-learning-based multi-modal fusion for fast MR reconstruction
L Xiang, Y Chen, W Chang, Y Zhan, W Lin, Q Wang, D Shen
IEEE Transactions on Biomedical Engineering 66 (7), 2105-2114, 2018
Registering histologic and MR images of prostate for image-based cancer detection
Y Zhan, Y Ou, M Feldman, J Tomaszeweski, C Davatzikos, D Shen
Academic radiology 14 (11), 1367-1381, 2007
Regression convolutional neural network for automated pediatric bone age assessment from hand radiograph
X Ren, T Li, X Yang, S Wang, S Ahmad, L Xiang, SR Stone, L Li, Y Zhan, ...
IEEE journal of biomedical and health informatics 23 (5), 2030-2038, 2018
Systems and methods for robust learning based annotation of medical radiographs
Z Peng, Y Tao, XS Zhou, Y Zhan, A Krishnan
US Patent 8,369,593, 2013
Automated segmentation of 3D US prostate images using statistical texture-based matching method
Y Zhan, D Shen
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003: 6th …, 2003
Dixon sequence with superimposed model-based bone compartment provides highly accurate PET/MR attenuation correction of the brain
T Koesters, KP Friedman, M Fenchel, Y Zhan, G Hermosillo, J Babb, ...
Journal of Nuclear Medicine 57 (6), 918-924, 2016
Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model
J Ma, L Lu, Y Zhan, X Zhou, M Salganicoff, A Krishnan
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010
Registration of medical images using learned-based matching functions
Y Zhan, X Zhou, A Krishnan
US Patent 8,121,362, 2012
Joint detection and localization of multiple anatomical landmarks through learning
M Dikmen, Y Zhan, X Zhou
US Patent 8,160,322, 2012
Robust MR spine detection using hierarchical learning and local articulated model
Y Zhan, D Maneesh, M Harder, XS Zhou
International conference on medical image computing and computer-assisted …, 2012
Active scheduling of organ detection and segmentation in whole-body medical images
Y Zhan, XS Zhou, Z Peng, A Krishnan
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008
Targeted prostate biopsy using statistical image analysis
Y Zhan, D Shen, J Zeng, L Sun, G Fichtinger, J Moul, C Davatzikos
IEEE transactions on Medical Imaging 26 (6), 779-788, 2007
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