| 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 | 521 | 2020 |
| 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 | 76 | 2019 |
| Wide inference network for image denoising via learning pixel-distribution prior P Liu, R Fang arXiv preprint arXiv:1707.05414, 2017 | 43 | 2017 |
| CFEA: Collaborative feature ensembling adaptation for domain adaptation in unsupervised optic disc and cup segmentation P Liu, B Kong, Z Li, S Zhang, R Fang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 40 | 2019 |
| STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion Y Xiao, P Liu, Y Liang, S Stolte, P Sanelli, A Gupta, J Ivanidze, R Fang Frontiers in neurology 10, 647, 2019 | 23 | 2019 |
| Learning pixel-distribution prior with wider convolution for image denoising P Liu, R Fang arXiv preprint arXiv:1707.09135, 2017 | 21 | 2017 |
| CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation P Liu, CT Tran, B Kong, R Fang Neurocomputing 469, 209-220, 2022 | 16 | 2022 |
| Neural network evolution using expedited genetic algorithm for medical image denoising P Liu, Y Li, MD El Basha, R Fang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 14 | 2018 |
| SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion P Liu, R Fang 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 12 | 2018 |
| Regression and learning with pixel-wise attention for retinal fundus glaucoma segmentation and detection P Liu, R Fang arXiv preprint arXiv:2001.01815, 2020 | 6 | 2020 |
| Neural network evolution using expedited genetic algorithm for medical image denoising R Fang, P Liu US Patent 11,069,033, 2021 | 5 | 2021 |
| Image Restoration Using Deep Regulated Convolutional Networks P Liu, X Zhou, J Yang, R Fang arXiv preprint arXiv:1910.08853, 2019 | 2 | 2019 |
| REFUGE challenge: a unified framework for evaluating automated methods for glaucoma assessment from fundus photographs A Diaz-Pinto, Y Xu, X Li, J Wu, X Zhang, S Lu, JB Breda, S Wang, R Fang, ... | 1 | 2020 |
| KRNET: Image denoising with kernel regulation network P Liu, X Zhou, J Li, R Fang arXiv preprint arXiv:1910.08867, 2019 | 1 | 2019 |
| Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects P Liu, K Bo, M Ding, R Fang PLOS Computational Biology 20 (3), e1011943, 2024 | | 2024 |
| Emergence Of Emotion Selectivity in A Deep Neural Network Trained to Recognize Visual Objects P Liu, K Bo, M Ding, R Fang https://www.biorxiv.org/content/10.1101/2023.04.16.537079v1, 2023 | | 2023 |
| PIMA-CT: Physical Model-Aware Cyclic Simulation and Denoising for Ultra-low-dose CT Restoration P Liu, L Xu, G Fullerton, Y Xiao, JB Nguyen, Z Li, I Barreto, C Olguin, ... Frontiers in Radiology, 13, 2022 | | 2022 |
| CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation P Liu, CT Tran, B Kong, R Fang arXiv preprint arXiv:2110.02417, 2021 | | 2021 |
| Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration Y Xiao, S Stolte, P Liu, Y Liang, P Sanelli, A Gupta, J Ivanidze, R Fang Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | | 2019 |
| STIR-Net: Spatial-Temporal Image Restoration Net for CT Perfusion Radiation Reduction Y Xiao, P Liu, Y Liang, S Stolte, P Sanelli, A Gupta, J Ivanidze, R Fang Frontiers in Neurology 10, 355, 2019 | | 2019 |
Ruogu FangProfessor, University of FloridaVerified email at bme.ufl.edu
