Computational Retinal Image Analysis

Manuel has been active since 1984 in computer vision, and since 2002 in medical image analysis. He has published more than 250 refereed papers and 2 textbooks (one of which an international standard with 2,793 citations, Google Scholar 25 Oct 2016). He is co-director of VAMPIRE (Vessel Assessment and Measurement Platform for Images of the Retina), an international research initiative led by the Universities of Dundee and Edinburgh (co-director Dr T MacGillivray). VAMPIRE develops software tools for efficient data and image analysis, with a focus on multi-modal retinal images. VAMPIRE has been used in UK and international biomarker studies on cardiovascular risk, stroke, dementia, diabetes and complications, cognitive performance, neurodegenerative diseases, and genetics. Dr Tom MacGillivray is an expert in the field of image processing and analysis for clinical research. His team staffs the Image Analysis Core laboratory of the Edinburgh Imaging group joint with the Edinburgh Clinical Research Facility, at the University of Edinburgh where he is a Senior Research Fellow. The laboratory provides specialist support to investigators accessing data from a variety of imaging modalities including MR, CT, PET, ultrasound and retinal imaging. Dr MacGillivray has extensive experience with retinal image processing and analysis with more than 15 years experience facilitating clinical research that features retinal imaging. This includes studies on stroke, cardiovascular disease, MS, diabetes, kidney disease, dementia and age-related cognitive change. In close collaboration with the University of Dundee (Prof E. Trucco, School of Computing), he co-ordinates an interdisciplinary initiative called VAMPIRE (Vascular Assessment and Measurement Platform for Images of the REtina, vampire.computing.dundee.ac.uk) whose aim is efficient, semi-automatic analysis of retinal images and the pursuit of biomarker identification. Yanwu Xu (Frank) is the Chief Architect/Scientist of AI Innovation Business Department, Baidu Online Network Technology (Beijing) Co., Ltd. He is also an Adjunct Professor at Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences (CAS). He received the B.Eng. and PhD degrees from the University of Science and Technology of China, in 2004 and 2009, respectively. He worked as a postdoctoral Research Fellow at Nanyang Technological University, Singapore, from 2009 to 2011, a Research Scientist at Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore, from 2011 to 2017, and the head of Biomedical Research Department at Central Research Institute, CVTE, from 2017 to 2018. He has published more than 100 papers in international journals and conferences, including T-MI, T-SMCB, JAMIA, MICCAI, etc. He has applied for more than 30 China patents (5 granted) and 11 PCT international patents (5 granted), including two licensed to a NMC and a Singapore startup.

• CHAPTER 1 A brief introduction and a glimpse into the pastEmanuele Trucco, Yanwu Xu, and Tom MacGillivray CHAPTER 2 Clinical motivation and the needs for RIAin healthcare Ryo Kawasaki and Jakob Grauslund CHAPTER 3 The physics, instruments and modalitiesof retinal imagingAndrew R. Harvey, Guillem Carles, Adrian Bradu andAdrian PodoleanuCHAPTER 4 Retinal image preprocessing, enhancement,and registrationCarlos Hernandez-Matas, Antonis A. Argyrosand Xenophon ZabulisCHAPTER 5 Automatic landmark detection in fundusphotographyJeffrey Wigdahl, Pedro Guimarães and Alfredo RuggeriCHAPTER 6 Retinal vascular analysis: Segmentation,tracing, and beyond Li Cheng, Xingzheng Lyu, He Zhao, Huazhu Fuand Huiqi LiCHAPTER 7 OCT layer segmentation Sandro De Zanet, Carlos Ciller, Stefanos Apostolopoulos,Sebastian Wolf and Raphael SznitmanCHAPTER 8 Image quality assessment Sarah A. Barman, Roshan A. Welikala, Alicja R. Rudnickaand Christopher G. OwenCHAPTER 9 Validation Emanuele Trucco, Andrew McNeil, Sarah McGrory, LuciaBallerini, Muthu Rama Krishnan Mookiah, Stephen Hogg,Alexander Doney and Tom MacGillivrayCHAPTER 10 Statistical analysis and design inophthalmology: Toward optimizing your data Gabriela Czanner and Catey BunceCHAPTER 11 Structure-preserving guided retinalimage filtering for optic disc analysis Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu,Damon Wing Kee Wong and Jiang LiuCHAPTER 12 Diabetic retinopathy and maculopathy lesions Bashir Al-Diri, Francesco Calivá, Piotr Chudzik,Giovanni Ometto and Maged HabibCHAPTER 13 Drusen and macular degeneration Bryan M. Williams, Philip I. Burgess andYalin ZhengCHAPTER 14 OCT fluid detection and quantification Hrvoje Bogunović, Wolf-Dieter Vogl,Sebastian M. Waldstein and Ursula Schmidt-ErfurthCHAPTER 15 Retinal biomarkers and cardiovasculardisease: A clinical perspective Carol Yim-lui Cheung, Posey Po-yin Wong andTien Yin WongCHAPTER 16 Vascular biomarkers for diabetesand diabetic retinopathy screening Fan Huang, Samaneh Abbasi-Sureshjani, Jiong Zhang,Erik J. Bekkers, Behdad Dashtbozorg andBart M. ter Haar RomenyCHAPTER 17 Image analysis tools for assessment of atrophicmacular diseases Zhihong Jewel Hu and Srinivas Reddy SaddaCHAPTER 18 Artificial intelligence and deep learningin retinal image analysis Philippe Burlina, Adrian Galdran, Pedro Costa, AdamCohen and Aurélio CampilhoCHAPTER 19 AI and retinal image analysis at Baidu Yehui Yang, Dalu Yang, Yanwu Xu, Lei Wang,Yan Huang, Xing Li, Xuan Liu and Le Van LaCHAPTER 20 The challenges of assembling, maintainingand making available large data setsof clinical data for research Emily R. Jefferson and Emanuele TruccoCHAPTER 21 Technical and clinical challengesof A.I. in retinal image analysis Gilbert Lim, Wynne Hsu, Mong Li Lee, Daniel Shu WeiTing and Tien Yin Wong