Artificial Intelligence and Diabetes Mellitus: An Inside Look Through
the Retina

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina

28 February 2024

Yasin Sadeghi Bazargani

Ali Jafarizadeh

Siamak Pedrammehr

R. Alizadehsani

Sheikh Mohammad Shariful Islam

Papers citing "Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina"

13 / 13 papers shown

Title
Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade M. Abdollahi Ali Jafarizadeh Amirhosein Ghafouri Asbagh Navid Sobhi Keysan Pourmoghtader Siamak Pedrammehr Houshyar Asadi R. Alizadehsani Ruyan Tan U. Acharya 66 7 0 11 Nov 2023
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice Jiahao Chen Victor Storchan Eren Kurshan 33 11 0 11 Aug 2021
Explaining the Explainer: A First Theoretical Analysis of LIME Damien Garreau U. V. Luxburg FAtt 43 177 0 10 Jan 2020
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey Norah M. Asiri M. Hussain Fadwa Al Adel Hatim Aboalsamh 45 229 0 03 Nov 2018
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning A. Varadarajan Pinal Bavishi Paisan Ruamviboonsuk Peranut Chotcomwongse Subhashini Venugopalan ... J. Ledsam P. Keane G. Corrado L. Peng D. Webster MedIm 36 109 0 18 Oct 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 614 10,759 0 19 Feb 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 264 19,929 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 725 36,708 0 25 Aug 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 342 10,172 0 16 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.1K 16,931 0 16 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 804 27,303 0 02 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 432 43,234 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014

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