Pingkun Yan
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Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss
Q Yang, P Yan, Y Zhang, H Yu, Y Shi, X Mou, MK Kalra, Y Zhang, L Sun, ...
IEEE transactions on medical imaging 37 (6), 1348-1357, 2018
Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric …
P Pinto, P Chung, A Rastinehad, A Baccala, J Kruecker, C Benjamin, S Xu, ...
The Journal of Urology 186 (4), 1281-1285, 2011
Deep learning in medical image registration: a survey
G Haskins, U Kruger, P Yan
Machine Vision and Applications 31 (1), 1-18, 2020
Manifold regularized sparse NMF for hyperspectral unmixing
X Lu, H Wu, Y Yuan, P Yan, X Li
IEEE Transactions on Geoscience and Remote Sensing 51 (5), 2815-2826, 2012
Learning 4D action feature models for arbitrary view action recognition
P Yan, SM Khan, M Shah
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2008
Automatic segmentation of high-throughput RNAi fluorescent cellular images
P Yan, X Zhou, M Shah, STC Wong
IEEE transactions on information technology in biomedicine 12 (1), 109-117, 2008
Saliency detection by multiple-instance learning
Q Wang, Y Yuan, P Yan, X Li
IEEE transactions on cybernetics 43 (2), 660-672, 2013
Deeply-supervised CNN for prostate segmentation
Q Zhu, B Du, B Turkbey, PL Choyke, P Yan
2017 international joint conference on neural networks (IJCNN), 178-184, 2017
Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos
X Cao, C Wu, P Yan, X Li
2011 18th IEEE International Conference on Image Processing, 2421-2424, 2011
Discrete deformable model guided by partial active shape model for TRUS image segmentation
P Yan, S Xu, B Turkbey, J Kruecker
IEEE Transactions on Biomedical Engineering 57 (5), 1158-1166, 2010
3d model based object class detection in an arbitrary view
P Yan, SM Khan, M Shah
2007 IEEE 11th International Conference on Computer Vision, 1-6, 2007
D'Amico risk stratification correlates with degree of suspicion of prostate cancer on multiparametric magnetic resonance imaging
AR Rastinehad, AA Baccala, PH Chung, JM Proano, J Kruecker, S Xu, ...
The Journal of urology 185 (3), 815-820, 2011
Geometry constrained sparse coding for single image super-resolution
X Lu, H Yuan, P Yan, Y Yuan, X Li
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1648-1655, 2012
Segmentation of volumetric MRA images by using capillary active contour
P Yan, AA Kassim
Medical Image Analysis 10 (3), 317-329, 2006
Single-image super-resolution via local learning
Y Tang, P Yan, Y Yuan, X Li
International Journal of Machine Learning and Cybernetics 2 (1), 15-23, 2011
Boundary-weighted domain adaptive neural network for prostate MR image segmentation
Q Zhu, B Du, P Yan
IEEE transactions on medical imaging 39 (3), 753-763, 2019
Alternatively constrained dictionary learning for image superresolution
X Lu, Y Yuan, P Yan
IEEE transactions on cybernetics 44 (3), 366-377, 2013
Vehicle detection and motion analysis in low-altitude airborne video under urban environment
X Cao, C Wu, J Lan, P Yan, X Li
IEEE Transactions on Circuits and Systems for Video Technology 21 (10), 1522 …, 2011
Learning deep similarity metric for 3D MR–TRUS image registration
G Haskins, J Kruecker, U Kruger, S Xu, PA Pinto, BJ Wood, P Yan
International journal of computer assisted radiology and surgery 14 (3), 417-425, 2019
Adaptively learning local shape statistics for prostate segmentation in ultrasound
P Yan, S Xu, B Turkbey, J Kruecker
Biomedical Engineering, IEEE Transactions on 58 (3), 633-641, 2011
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