In this issue, vol. 24, issue 12, December 2020, 17 papers are published related to the Special Issue on Ophthalmic Image Analysis and Informatics. Please click here to view them, with links in IEEE XPLORE.
- Machine Learning Techniques for Ophthalmic Data Processing: A Review
Sarhan, Mhd Hasan; Nasseri, Mohammad Ali; Zapp, Daniel; Maier, Mathias; Lohmann, Chris; Navab, Nassir; Eslami, Abouzar - How to extract more information with less burden: Fundus image classification and retinal disease localization with ophthalmologist intervention
Meng, Qier; Hashimoto, Yohei; Satoh, Shin’ichi - REMPE: Registration of Retinal Images through Eye Modelling and Pose Estimation
Hernandez-Matas, Carlos; Zabulis, Xenophon; Argyros, Antonis - Dehaze of Cataractous Retinal Images using an Unpaired Generative Adversarial Network
Luo, Yuhao; Chen, Kun; Liu, Lei; Liu, Jicheng; Mao, Jianbo; Ke, Genjie; Sun, Mingzhai - Hard Attention Net for Automatic Retinal Vessel Segmentation
Wang, Dongyi; Haytham, Ayman; Pottenburgh, Jessica; Saeedi, Osamah; Tao, Yang - Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning
Wang, Juan; Bai, Yujing; Xia, Bin - Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning
Zhang, Huihong; Yang, Jianlong; Zhou, Kang; Li, Fei; Hu, Yan; Zhao, Yitian; Zheng, Ce; Zhang, Xiulan; Liu, Jiang - Attention-guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association using Volumetric Images
George, Yasmeen; Antony, Bhavna; Ishikawa, Hiroshi; Wollstein, Gadi; Schuman, Joel; Garnavi, Rahil - Uncertainty-driven Multiple Instance Learning for OCT Image Classification
Wang, Xi; Tang, Fangyao; Chen, Hao; Luo, Luyang; Tang, Ziqi; Ran, An-Ran; Cheung, Carol Y.; Heng, Pheng Ann - MS-CAM: Multi-Scale Class Activation Maps for Weakly-supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images
Ma, Xiao; Ji, Zexuan; Niu, Sijie; Leng, Theodore; Rubin, Daniel; Chen, Qiang - End-to-end deep learning model for predicting treatment requirements in neovascular AMD from longitudinal retinal OCT imaging
Romo-Bucheli, David; Schmidt-Erfurth, Ursula; Bogunovic, Hrvoje - 3D Retinal Vessel Density Mapping with OCTA- Angiography
Sarabi, Mona; Khansari, Maziyar; Zhang, Jiong; Kushner-Lenhoff, Sam; Gahm, Jin; Qiao, Yuchuan; Kashani, Amir; Shi, Yonggang - Cooperative low-rank models for removing stripe noise from OCTA images
Wu, Xiyin; Gao, Dongxu; Borroni, Davide; Madhusudhan, Savita; Jin, Zhong; Zheng, Yalin - Tear Film Classification in Interferometry Eye Images using Phylogenetic Diversity Indexes and Ripley’s K Function
Cruz, Luana; Souza, Johnatan Carvalho; Paiva, Anselmo; Dallyson, Joγo; Junior, Geraldo; Teixeira Aires, Kelson ; Silva, Aristofanes; Gattass, Marcelo - Visual Field Estimation by Probabilistic Classification
Chesley, Brian; Barbour, Dennis - ELEMENT: Multi-modal retinal vessel segmentation based on a coupled region growing and machine learning approach
Rodrigues, Erick; Conci, Aura; Liatsis, Panos - Spatially Aware Dense-LinkNet Based Regression Improves Fluorescent Cell Detection in Adaptive Optics Ophthalmic Images
Liu, Jianfei; Han, Yoo-Jean; Liu, Tao; Aguilera, Nancy; Tam, Johnny