University of Edinburgh（爱丁堡大学）

A Semiparametric Discrete Hawkes Model with a Collapsed Gaussian-Process Prior

具有坍缩高斯过程先验的非参数离散Hawkes模型

Trinnhallen Brisley, Gordon Ross, Daniel Paulin

机构 * University of Edinburgh（爱丁堡大学） ； Nanyang Technological University（南洋理工大学） 纠错

AI总结 本文提出GP-DHP模型，通过高斯过程先验实现离散时间Hawkes过程的非参数化处理，提升预测性能并保持可解释性。

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO Challenge

利用深度学习评估视网膜退化：对MARIO挑战的全面分析

Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Zineb Aziza Elaouaber, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Matovinović, Donik Vršnak, Sven Lončarić, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Finisterra Araújo, Marzieh Oghbaie, Hrvoje Bogunović, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríquez, Álvaro Caballero-Sastre, María J. Ledesma Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec

机构 * University of Western Brittany, Brest, France ； University of Tlemcen, Algeria ； Ophthalmology Department, CHRU Brest, Brest, France ； Imperial College London, United Kingdom ； Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan ； Evolucare Technologies, France ； College of Computer Science, Sichuan University, China ； Medical University of Vienna, Austria ； TNO, The Hague, The Netherlands ； Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands ； Johannes Kepler University Linz, Austria ； University of Zagreb, Faculty of Electrical Engineering ； Department of Radiology, University of Calgary, Calgary, AB, Canada ； Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada ； Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada ； Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB, Canada ； Department of Pediatrics, University of Calgary, Calgary, AB, Canada ； Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada ； Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada ； University of Calgary, Calgary, AB, Canada ； German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany ； Medical Faculty Heidelberg, Heidelberg University, Germany ； Biomedical Image Technologies (BIT), ETSI Telecomunicación, Universidad Politécnica de Madrid, Spain ； Ophthalmology Service of the Provincial Ophthalmic Institute, Hospital Universitario Gregorio Marañón, Madrid, Spain ； University of Edinburgh, Scotland ； Lung Institute, Faculty of Medicine, Imperial College London, United Kingdom ； Hawkes Institute, Department of Computer Science, University College London, London, United Kingdom 纠错

AI总结 本文通过MARIO挑战展示了深度学习在AMD监测中的应用，验证了AI在检测AMD进展方面的有效性，但尚未实现对未来演变的预测。

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