MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
biomedical image classification

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

27 October 2021

Hanspeter Pfister

Papers citing "MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification"

16 / 316 papers shown

Title
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors V. Narayanaswamy Yamen Mubarka Rushil Anirudh Deepta Rajan A. Spanias Jayaraman J. Thiagarajan OOD 4 1 0 12 Jul 2022
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis Jiancheng Yang Rui Shi Udaranga Wickramasinghe Qikui Zhu Bingbing Ni Pascal Fua 3DH MedIm 27 5 0 30 Jun 2022
Detecting Adversarial Examples in Batches -- a geometrical approach Danush Kumar Venkatesh Peter Steinbach AAML 11 2 0 17 Jun 2022
Active Data Discovery: Mining Unknown Data using Submodular Information Measures Suraj Kothawade Shivang Chopra Saikat Ghosh Rishabh K. Iyer 6 4 0 17 Jun 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 35 58 0 17 Jun 2022
Virtual embeddings and self-consistency for self-supervised learning T. Bdair Hossam Abdelhamid Nassir Navab Shadi Albarqouni SSL 16 0 0 13 Jun 2022
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed Mélanie Bernhardt Fabio De Sousa Ribeiro Ben Glocker 26 10 0 27 May 2022
Fusion: Efficient and Secure Inference Resilient to Malicious Servers Caiqin Dong Jian Weng Jia-Nan Liu Yue Zhang Yao Tong Anjia Yang Yudan Cheng Shun Hu 26 16 0 06 May 2022
Quantum-classical convolutional neural networks in radiological image classification A. Matic Maureen Monnet J. Lorenz B. Schachtner Thomas Messerer 19 31 0 26 Apr 2022
Don't fear the unlabelled: safe semi-supervised learning via simple debiasing Hugo Schmutz O. Humbert Pierre-Alexandre Mattei 11 8 0 14 Mar 2022
GALAXY: Graph-based Active Learning at the Extreme Jifan Zhang Julian Katz-Samuels Robert D. Nowak 21 31 0 03 Feb 2022
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis Jianhui Yu Chaoyi Zhang Heng Wang Dingxin Zhang Yang Song Tiange Xiang Dongnan Liu Weidong (Tom) Cai ViT MedIm 21 32 0 09 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 16 61 0 01 Dec 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 194 33 0 06 Oct 2021
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging Thomas Henn Yasukazu Sakamoto Clément Jacquet Shunsuke Yoshizawa M. Andou ... R. Saga Hiroyuki Ishihara Katsuhiko Shimizu Yingzhen Li Ryutaro Tanno 113 9 0 25 Sep 2021
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 295 10,618 0 19 Feb 2017