Sledovat
Dinggang Shen
Dinggang Shen
Prof. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence
E-mailová adresa ověřena na: shanghaitech.edu.cn - Domovská stránka
Název
Citace
Citace
Rok
Deep learning in medical image analysis
D Shen, G Wu, HI Suk
Annual review of biomedical engineering 19 (1), 221-248, 2017
52992017
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
23332018
Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19
F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen
IEEE reviews in biomedical engineering 14, 4-15, 2020
16132020
Multimodal classification of Alzheimer's disease and mild cognitive impairment
D Zhang, Y Wang, L Zhou, H Yuan, D Shen, ...
Neuroimage 55 (3), 856-867, 2011
14932011
HAMMER: hierarchical attribute matching mechanism for elastic registration
D Shen, C Davatzikos
IEEE transactions on medical imaging 21 (11), 1421-1439, 2002
13222002
Lane detection and tracking using B-Snake
Y Wang, EK Teoh, D Shen
Image and Vision computing 22 (4), 269-280, 2004
12882004
Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans
JZ Cheng, D Ni, YH Chou, J Qin, CM Tiu, YC Chang, CS Huang, D Shen, ...
Scientific reports 6 (1), 24454, 2016
10882016
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
HI Suk, SW Lee, D Shen, Alzheimer's Disease Neuroimaging Initiative
NeuroImage 101, 569-582, 2014
10402014
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
9762015
Medical image synthesis with context-aware generative adversarial networks
D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
9282017
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
D Zhang, D Shen, Alzheimer's Disease Neuroimaging Initiative
NeuroImage 59 (2), 895-907, 2012
7902012
Lung infection quantification of COVID-19 in CT images with deep learning
F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi
arXiv preprint arXiv:2003.04655, 2020
7042020
Longitudinal pattern of regional brain volume change differentiates normal aging from MCI
I Driscoll, C Davatzikos, Y An, X Wu, D Shen, M Kraut, SM Resnick
Neurology 72 (22), 1906-1913, 2009
6652009
Medical image synthesis with deep convolutional adversarial networks
D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen
IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018
6632018
Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects
W Gao, H Zhu, KS Giovanello, JK Smith, D Shen, JH Gilmore, W Lin
Proceedings of the National Academy of Sciences 106 (16), 6790-6795, 2009
6532009
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
HI Suk, SW Lee, D Shen, Alzheimer’s Disease Neuroimaging Initiative
Brain Structure and Function 220, 841-859, 2015
6142015
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
6122014
Classifying spatial patterns of brain activity with machine learning methods: application to lie detection
C Davatzikos, K Ruparel, Y Fan, DG Shen, M Acharyya, JW Loughead, ...
Neuroimage 28 (3), 663-668, 2005
6082005
Infant brain atlases from neonates to 1-and 2-year-olds
F Shi, PT Yap, G Wu, H Jia, JH Gilmore, W Lin, D Shen
PloS one 6 (4), e18746, 2011
6032011
Deep learning-based feature representation for AD/MCI classification
HI Suk, D Shen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
5932013
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Články 1–20