Uncertainty-aware deep learning methods for robust diabetic retinopathy
classification

Uncertainty-aware deep learning methods for robust diabetic retinopathy classification

22 January 2022

Theodoros Damoulas

Jeremias Knoblauch

Simo Särkkä

L. Kärkkäinen

Papers citing "Uncertainty-aware deep learning methods for robust diabetic retinopathy classification"

7 / 7 papers shown

Title
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification Hassan Gharoun M. S. Khorshidi Fang Chen Amir H. Gandomi 30 0 0 19 Sep 2024
On the meaning of uncertainty for ethical AI: philosophy and practice Cassandra Bird Daniel Williamson Sabina Leonelli 13 1 0 11 Sep 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 23 1 0 10 Apr 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 51 87 0 16 Feb 2023
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection Pratinav Seth Adil Mehmood Khan Ananya Gupta Saurabh Mishra Akshat Bhandhari 31 0 0 06 Nov 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015