$DR$\vert$GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images$

DR $\vert$ GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images

25 October 2019

Papers citing "DR$\vert$GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images"

30 / 30 papers shown

Title
Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models Deval Mehta Yiwen Jiang Catherine L Jan M. He Kshitij S. Jadhav Zongyuan Ge VLM 65 0 0 04 Mar 2025
Explainability of Deep Neural Networks for Brain Tumor Detection S. Park J. Kim MedIm 31 0 0 10 Oct 2024
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions Francesco Di Salvo Sebastian Doerrich Christian Ledig OOD 31 3 0 25 Jun 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 46 20 0 09 Oct 2023
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision Julio Silva-Rodríguez H. Chakor Riadh Kobbi Jose Dolz Ismail Ben Ayed VLM MedIm 74 35 0 15 Aug 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 26 56 0 10 Apr 2023
Unimodal Distributions for Ordinal Regression J. S. Cardoso Ricardo P. M. Cruz Tomé Albuquerque 33 2 0 08 Mar 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 49 85 0 16 Feb 2023
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning José Morano Álvaro S. Hervella J. Rouco Jorge Novo José I. Fernández-Vigo M. Ortega MedIm 32 13 0 01 Dec 2022
A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images Tomás Castilla Marcela S. Martínez Mercedes Leguía Ignacio Larrabide J. Orlando MedIm 28 2 0 06 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 34 80 0 05 Oct 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 25 2 0 04 Apr 2022
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification J. Jaskari J. Sahlsten Theodoros Damoulas Jeremias Knoblauch Simo Särkkä L. Kärkkäinen K. Hietala K. Kaski BDL UQCV 18 27 0 22 Jan 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern H. Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 22 44 0 19 Dec 2021
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition Lie Ju Zhen Yu Lin Wang Xin Zhao Xin Wang Paul Bonnington Z. Ge 26 14 0 17 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 29 58 0 03 Nov 2021
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation Yijin Huang Li Lin Pujin Cheng Junyan Lyu Roger Tam Xiaoying Tang 34 32 0 27 Oct 2021
A Multi-stage Transfer Learning Framework for Diabetic Retinopathy Grading on Small Data Lei Shi Bin Wang Junxing Zhang 28 0 0 24 Sep 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification Adrian Galdran G. Carneiro M. A. G. Ballester 31 100 0 20 Sep 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 40 638 0 22 Jul 2021
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey Vasudevan Lakshminarayanan Hoda Kheradfallah Arya Sarkar J. Balaji 52 74 0 30 Jun 2021
Applications of Deep Learning in Fundus Images: A Review Tao Li Wang Bo Chunyu Hu Hong Kang Hanruo Liu Kai Wang Huazhu Fu 22 255 0 25 Jan 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 56 1,883 0 12 Nov 2020
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images Adrian Galdran José Dolz H. Chakor H. Lombaert Ismail Ben Ayed MedIm 16 29 0 01 Oct 2020
DONet: Dual Objective Networks for Skin Lesion Segmentation Yaxiong Wang Yunchao Wei Xueming Qian Li Zhu Yi Yang MedIm 32 6 0 19 Aug 2020
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis G. Quellec Hassan Al Hajj M. Lamard Pierre-Henri Conze P. Massin B. Cochener 30 54 0 13 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 55 625 0 02 Aug 2020
An Efficient Framework for Automated Screening of Clinically Significant Macular Edema Renoh Johnson Chalakkal Faizal M. F. Hafiz W. Abdulla Akshya Swain 32 22 0 20 Jan 2020
Deep image mining for diabetic retinopathy screening G. Quellec K. Charrière Yassine Boudi B. Cochener M. Lamard MedIm 41 413 0 22 Oct 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