Takip et
Ruogu Fang
Ruogu Fang
Professor, University of Florida
bme.ufl.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ...
Medical image analysis 59, 101570, 2020
6882020
Towards computational models of kinship verification
R Fang, KD Tang, N Snavely, T Chen
2010 IEEE International conference on image processing, 1577-1580, 2010
3572010
Idrid: Diabetic retinopathy–segmentation and grading challenge
P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ...
Medical image analysis 59, 101561, 2020
3132020
Computational health informatics in the big data age: a survey
R Fang, S Pouyanfar, Y Yang, SC Chen, SS Iyengar
ACM Computing Surveys (CSUR) 49 (1), 1-36, 2016
3002016
Clinical report guided retinal microaneurysm detection with multi-sieving deep learning
L Dai, R Fang, H Li, X Hou, B Sheng, Q Wu, W Jia
IEEE transactions on medical imaging 37 (5), 1149-1161, 2018
1662018
Kinship classification by modeling facial feature heredity
R Fang, AC Gallagher, T Chen, A Loui
2013 IEEE international conference on image processing, 2983-2987, 2013
1362013
A survey on medical image analysis in diabetic retinopathy
S Stolte, R Fang
Medical image analysis 64, 101742, 2020
1252020
Automatic choroid layer segmentation from optical coherence tomography images using deep learning
S Masood, R Fang, P Li, H Li, B Sheng, A Mathavan, X Wang, P Yang, ...
Scientific reports 9 (1), 3058, 2019
1062019
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study
DB Archer, JT Bricker, WT Chu, RG Burciu, JL McCracken, S Lai, ...
The Lancet Digital Health 1 (5), e222-e231, 2019
1022019
Modular machine learning for Alzheimer's disease classification from retinal vasculature
J Tian, G Smith, H Guo, B Liu, Z Pan, Z Wang, S Xiong, R Fang
Scientific Reports 11 (1), 238, 2021
982021
Deep evolutionary networks with expedited genetic algorithms for medical image denoising
P Liu, MD El Basha, Y Li, Y Xiao, PC Sanelli, R Fang
Medical image analysis 54, 306-315, 2019
962019
Domain-invariant interpretable fundus image quality assessment
Y Shen, B Sheng, R Fang, H Li, L Dai, S Stolte, J Qin, W Jia, D Shen
Medical image analysis 61, 101654, 2020
932020
Retinal vessel segmentation using minimum spanning superpixel tree detector
B Sheng, P Li, S Mo, H Li, X Hou, Q Wu, J Qin, R Fang, DD Feng
IEEE transactions on cybernetics 49 (7), 2707-2719, 2018
782018
Machine learning and individual variability in electric field characteristics predict tDCS treatment response
A Albizu, R Fang, A Indahlastari, A O’Shea, SE Stolte, KB See, ...
Brain stimulation 13 (6), 1753-1764, 2020
752020
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting
X Yang, J Bian, R Fang, RI Bjarnadottir, WR Hogan, Y Wu
Journal of the American Medical Informatics Association 27 (1), 65-72, 2020
742020
Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning
R Fang, T Chen, PC Sanelli
Medical Image Analysis, 2013
692013
Robust low-dose CT perfusion deconvolution via tensor total-variation regularization
R Fang, S Zhang, T Chen, PC Sanelli
IEEE transactions on medical imaging 34 (7), 1533-1548, 2015
672015
Low-rise gable roof buildings pressure prediction using deep neural networks
J Tian, KR Gurley, MT Diaz, PL Fernández-Cabán, FJ Masters, R Fang
Journal of Wind Engineering and Industrial Aerodynamics 196, 104026, 2020
572020
Machine learning for physics-informed generation of dispersed multiphase flow using generative adversarial networks
B Siddani, S Balachandar, WC Moore, Y Yang, R Fang
Theoretical and Computational Fluid Dynamics 35, 807-830, 2021
502021
Big data in multimodal medical imaging
A El-Baz, JS Suri
CRC Press, 2019
482019
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