MedMNIST-C: Comprehensive benchmark and improved classifier robustness
by simulating realistic image corruptions

v1v2v3 (latest)

MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

25 June 2024

Francesco Di Salvo

Sebastian Doerrich

Christian Ledig

ArXiv (abs)PDF HTML Github (23★)

Papers citing "MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions"

14 / 14 papers shown

Title
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Raza Imam Rufael Marew Mohammad Yaqub AAML VLM 61 0 0 21 May 2025
Out-of-Domain Robustness via Targeted Augmentations Irena Gao Shiori Sagawa Pang Wei Koh Tatsunori Hashimoto Percy Liang OODD OOD 61 23 0 23 Feb 2023
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 46 79 0 01 Dec 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 67 312 0 17 May 2021
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging Fernando Navarro Christopher Watanabe Suprosanna Shit Anjany Sekuboyina J. Peeken Stephanie E. Combs Bjoern Menze OOD 61 20 0 14 May 2021
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 96 305 0 28 Oct 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 128 1,308 0 05 Dec 2019
$DR$\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 Teresa Araújo Guilherme Aresta Luís Mendonça S. Penas Carolina Maia Â. Carneiro A. Mendonça A. Campilho MedIm 379 111 0 25 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 258 3,505 0 30 Sep 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 624 4,802 0 13 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 191 3,455 0 28 Mar 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 301 9,811 0 25 Oct 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 802 36,892 0 25 Aug 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014