Title
Enhancing Diabetic Retinopathy Detection with CNN-Based Models: A Comparative Study of UNET and Stacked UNET Architectures Ameya Uppina S Navaneetha Krishnan Talluri Krishna Sai Teja Nikhil N Iyer Joe Dhanith P R 32 0 0 02 Nov 2024
Attribution in Scale and Space Shawn Xu Subhashini Venugopalan Mukund Sundararajan FAtt BDL 37 71 0 03 Apr 2020
From Machine to Machine: An OCT-trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs Felipe A. Medeiros A. Jammal A. Thompson MedIm 26 194 0 20 Oct 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 29 108 0 18 Oct 2018
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy Jonathan Krause Varun Gulshan E. Rahimy Peter Karth Kasumi Widner G. Corrado L. Peng D. Webster 119 441 0 04 Oct 2017
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning Ryan Poplin A. Varadarajan Katy Blumer Yun-Hui Liu M. McConnell G. Corrado L. Peng D. Webster MedIm 53 1,331 0 31 Aug 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 149 5,920 0 04 Mar 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 594 27,231 0 02 Dec 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 200 4,653 0 21 Dec 2014