Παρακολούθηση
Pingkun Yan
Pingkun Yan
Rensselaer Polytechnic Institute
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα rpi.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
16782018
Deep learning in medical image registration: a survey
G Haskins, U Kruger, P Yan
Machine Vision and Applications 31 (1), 8, 2020
8062020
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
5712011
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
4222012
Development of metaverse for intelligent healthcare
G Wang, A Badal, X Jia, JS Maltz, K Mueller, KJ Myers, C Niu, M Vannier, ...
Nature machine intelligence 4 (11), 922-929, 2022
3192022
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
VP Gerdt, W Koepf, EW Mayr, EV Vorozhtsov
Lecture Notes in Computer Science 8136, V-VIII-V-VIII, 2013
275*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
2492017
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
2222008
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
2202019
Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction
X Fang, P Yan
IEEE Transactions on Medical Imaging 39 (11), 3619-3629, 2020
2092020
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
2012008
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
1892011
Saliency detection by multiple-instance learning
Q Wang, Y Yuan, P Yan, X Li
IEEE transactions on cybernetics 43 (2), 660-672, 2013
1842013
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, 417-425, 2019
1672019
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
1592010
Fast fit-free analysis of fluorescence lifetime imaging via deep learning
JT Smith, R Yao, N Sinsuebphon, A Rudkouskaya, N Un, J Mazurkiewicz, ...
Proceedings of the national academy of sciences 116 (48), 24019-24030, 2019
1522019
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
1412007
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
1392011
Single-image super-resolution via local learning
Y Tang, P Yan, Y Yuan, X Li
International Journal of Machine Learning and Cybernetics 2, 15-23, 2011
1342011
Adversarial image registration with application for MR and TRUS image fusion
P Yan, S Xu, AR Rastinehad, BJ Wood
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
1312018
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