3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation
Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences（中国科学院宁波材料技术与工程研究所慈溪生物医学工程研究所）；University of Liverpool（利物浦大学）；University of Southern California（南加州大学）；Southern University of Science and Technology（南方科技大学）；University of Chinese Academy of Sciences（中国科学院大学）
Optical Coherence Tomography Angiography (OCTA) has been increasingly used in the management of eye and systemic diseases in recent years. Manual or automatic analysis of blood vessel in 2D OCTA images (en face angiograms) is commonly used in clinical practice, however it may lose rich 3D spatial distribution information of blood vessels or capillaries that are useful for clinical decision-making. In this paper, we introduce a novel 3D vessel reconstruction framework based on the estimation of vessel depth maps from OCTA images. First, we design a network with structural constraints to predict the depth of blood vessels in OCTA images. In order to promote the accuracy of the predicted depth map at both the overall structure- and pixel- level, we combine MSE and SSIM loss as the training loss function. Finally, the 3D vessel reconstruction is achieved by utilizing the estimated depth map and 2D vessel segmentation results. Experimental results demonstrate that our method is effective in the depth prediction and 3D vessel reconstruction for OCTA images.% results may be used to guide subsequent vascular analysis
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Cixi Institute of Biomedical Engineering, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences（中国科学院宁波工业技术研究院慈溪生物医学工程研究所）；Inception Institute of Artificial Intelligence（起源人工智能研究院）；Keck School of Medicine, University of Southern California（南加州大学凯克医学院）；First Affiliated Hospital of Wenzhou Medical University（温州医科大学附属第一医院）；Southern University of Science and Technology（南方科技大学）；University of Liverpool（利物浦大学）
Scaling up fine-grained intracranial vessel annotations in computed tomography angiography
Brigham and Women’s Hospital Harvard Medical School（哈佛医学院布莱尔妇女医院）；Khoury College of Computer Sciences Northeastern University（东北大学计算机科学学院）；Washington University in St. Louis（圣路易斯华盛顿大学）；Dana-Farber Cancer Institute Harvard Medical School（哈佛医学院丹娜-法伯癌症研究院）
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
Vidyasirimedhi Institute of Science & Technology（维迪亚西里梅迪科技学院）；Kamnoetvidya Science Academy（卡姆诺维迪亚科学学院）；Ningbo Institute of Industrial Technology, Chinese Academy of Sciences（中国科学院宁波工业技术研究院）；Cixi Institute of Biomedical Engineering（慈溪生物医学工程研究所）；Kasetsart University（泰国农业大学）；Nanyang Technological University（南洋理工大学）
虽然已经有越来越多的研究使用深度学习技术从2D en face OCTA中提取血管结构，但对于这种方法，已知在曲线结构（如视网膜血管系统）上的数据注释过程非常昂贵和耗时，尽管很少有人尝试解决注释问题。在这项工作中，我们提出了应用基于涂鸦的弱监督学习方法来自动化像素级注释。所提出的方法称为OCTAve，它将弱监督学习与对抗性和新颖的自监督深度监督相结合，使用涂鸦注释的地面实况增强。我们的新机制被设计为利用来自UNet类架构的鉴别层的鉴别输出，其中聚合鉴别输出和分割图谓词之间的Kullback-Liebler分歧在训练期间被最小化。实验结果表明，这种组合方法可以更好地定位血管结构。我们在大型公共数据集上验证了我们提出的方法，即，玫瑰，OCTA-500。的分割性能进行比较，对两个国家的最先进的全监督和基于涂鸦的弱监督的方法。我们在实验中使用的工作的实现位于[LINK]。
Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy
Symbiosis Institute of Technology, Symbiosis International (Deemed University)（共生国际（ deemed 大学）共生技术学院）；University of Technology Sydney（悉尼科技大学）；Natasha Eye Care（娜塔莎眼科护理中心）
Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
School of Optometry, The Hong Kong Polytechnic University（香港理工大学眼科视光学院）；Research Centre for SHARP Vision, The Hong Kong Polytechnic University（香港理工大学SHARP视觉研究中心）；Centre for Eye and Vision Research (CEVR)（眼科与视觉研究中心）；Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital（澳大利亚眼科研究中心，皇家维多利亚眼耳医院）；Department of Surgery (Ophthalmology), The University of Melbourne（墨尔本大学外科学系（眼科学））
OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images
The University of Western Australia（西澳大利亚大学）；University of Surrey（萨里大学）；Academy of Athens（雅典科学院）；Surrey and Sussex Healthcare NHS Trust（萨里和萨塞克斯医疗保健 NHS 信托）；The University of Surrey（萨里大学）
Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
Department of Mechanical and Electronic Engineering, Kunming University of Science and Technology（昆明理工大学机械电子工程系）；Eye Clinics, Yunnan First People's Hospital（云南第一人民医院眼科）
VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes
Department of Computer Science, Vanderbilt University（计算机科学系，范德比尔特大学）；Digital Technology and Innovation, Siemens Healthineers（数字技术与创新，西门子医疗）；Department of Biomedical Engineering, Vanderbilt University（生物医学工程系，范德比尔特大学）
Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms
Simon Fraser University（西蒙菲莎大学）；University of British Columbia（不列颠哥伦比亚大学）；University of Western Australia（西澳大学）；Lions Eye Institute（狮子眼科研究所）；Vitreous Retina Macula Consultants of New York（纽约玻璃体视网膜黄斑 Consultants）；Manhattan Eye, Ear and Throat Hospital（曼哈顿眼耳鼻喉医院）；University of Zagreb（萨格勒布大学）
Efficient and high accuracy 3-D OCT angiography motion correction in pathology
Friedrich-Alexander-Universität Erlangen-Nürnberg（弗里德里希-亚历山大大学埃尔朗根-纽伦堡分校）；Massachusetts Institute of Technology（麻省理工学院）；New England Eye Center（新英格兰眼科中心）；Tufts Medical Center（塔夫茨医疗中心）
Deep Learning-assisted AMD Staging based on OCT and OCT Angiography
Casey Eye Institute, Oregon Health & Science University（奥勒冈健康与科学大学凯斯眼科研究所）；Department of Biomedical Engineering, Oregon Health & Science University（奥勒冈健康与科学大学生物医学工程系）；Department of Ophthalmology, Mackay Memorial Hospital（Mackay纪念医院眼科部）
Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
The Hong Kong University of Science and Technology（香港科技大学）；HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute（香港科技大学深圳港协同创新研究院）；Weizhi Meditech (Foshan) Co., Ltd（佛山伟智医疗科技有限公司）；Guangdong Weiren Meditech Co., Ltd（广东伟仁医疗科技有限公司）；South China University of Technology（华南理工大学）；Pazhou Lab（琶洲实验室）；Shenzhen Eye Institute（深圳眼科研究院）；Shenzhen Eye Hospital（深圳眼科医院）；Jinan University（暨南大学）；Shaanxi Eye Hospital（陕西省眼科医院）；Xi’an People’s Hospital (Xi’an Fourth Hospital)（西安市人民医院（西安市第四医院））；Affiliated People’s Hospital of Northwest University（西北大学附属人民医院）
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation
Huazhong University of Science and Technology（华中科技大学）；Huawei Technologies Company Limited（华为技术有限公司）；Union Hospital, Tongji Medical College, Huazhong University of Science and Technology（华中科技大学同济医学院附属协和医院）
Computer Aided Detection of Deep Inferior Epigastric Perforators in Computed Tomography Angiography scans
INESC TEC（INESC TEC科技与创新研究所）；Faculdade de Ciências da Universidade do Porto（波尔图大学理学院）；Champalimaud Clinical Center（尚帕利莫临床中心）；Hospital Pedro Hispano（佩德罗·伊斯帕诺医院）；Nova Medical School（诺瓦医学院）
Three-Dimensional Retinal Microvasculature Restoration in OCT Angiography
Casey Eye Institute, Oregon Health & Science University（俄勒冈健康与科学大学Casey眼科研究所）；Department of Biomedical Engineering, Oregon Health & Science University（俄勒冈健康与科学大学生物医学工程系）
Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans
School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院）；Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education（教育部新一代人工智能技术及其跨学科应用重点实验室）；Tianyuan Honors School, Nanjing Medical University（南京医科大学天元荣誉学院）；Nanjing University of Science and Technology（南京理工大学）；Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University（南京医科大学第一附属医院眼科）
Shanghai Jiao Tong University（上海交通大学）；The Hong Kong University of Science and Technology（香港科技大学）；Shanghai Jiao Tong University Affiliated Sixth People’s Hospital（上海交通大学附属第六人民医院）；VUNO Inc.（VUNO公司）；Johannes Kepler University Linz（林茨约翰·开普勒大学）；Fudan University（复旦大学）；Inserm（法国国家健康与医学研究院）；University of Western Brittany（西布列塔尼大学）
VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
The Hong Kong University of Science and Technology, Hong Kong, China（香港科学与技术大学）；Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China（广东省人民医院放射科（广东省医学科学院）南方医科大学）；Health Management Center, Foshan First People's Hospital（佛山第一人民医院健康管理中心）；Health Management Center, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology（健康管理中心，华南理工大学医学院第六附属医院）
Multimodal Registration of Retinal Images Using Domain-Specific Landmarks and Vessel Enhancement
CITIC-Research Center of Information and Communication Technologies, University of A Coruña（科蒂克信息与通信技术研究中心，拉科鲁尼亚大学）；Department of Computer Science, University of A Coruña（拉科鲁尼亚大学计算机科学系）；University of A Coruña（拉科鲁尼亚大学）；CITIC-Research Center of Information and Communication Technologies（科蒂克信息与通信技术研究中心）
Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography
School of Biomedical Engineering, Shanghai Jiao Tong University（上海交通大学生物医学工程学院）；School of Continuing Education, Shanghai Jiao Tong University（上海交通大学继续教育学院）；Shanghai Jiao Tong University Affiliated Sixth People’s Hospital（上海交通大学附属第六人民医院）；Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University（上海交通大学医学院附属仁济医院）；Center for Advanced Neuroimaging, University of California, Riverside（加州大学河滨分校高级神经影像中心）
Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images
Yerevan State University (YSU)（埃里温国立大学）；Ruhr-Universität Bochum (RUB)（波鸿鲁尔大学）；Synopsys Armenia CJSC（新思亚美尼亚公司）；ServiceTitan, Inc.（ServiceTitan公司）；Picsart AI Research (PAIR)（Picsart人工智能研究院）；Johannes Wesling University Hospital（约翰内斯·韦斯林大学医院）
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation
EURECOM（欧洲通信学院）；University of Siena（锡耶纳大学）；Centre Hospitalier Universitaire de Nice（尼斯大学医院中心）；Centre for Medical Image Computing University College London（伦敦大学学院医学影像计算中心）；e-health Center Universitat Oberta de Catalunya（加泰罗尼亚开放大学电子健康中心）；Sorbonne Université（索邦大学）；CNRS（法国国家科学研究中心）；Inria（法国国家信息与自动化研究所）；Inserm（法国国家健康与医学研究院）；AP-HP（巴黎公共医疗救助机构）
Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net
Tsinghua University（清华大学）；Beijing Anzhen Hospital, Capital Medical University（首都医科大学附属北京安贞医院）；The First Affiliated Hospital of Zhengzhou University（郑州大学第一附属医院）
