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

27 October 2021

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

50 / 316 papers shown

Title
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer Hideaki Hayashi 38 3 0 10 May 2023
Model Conversion via Differentially Private Data-Free Distillation Bochao Liu Pengju Wang Shikun Li Dan Zeng Shiming Ge FedML 15 3 0 25 Apr 2023
Complex Mixer for MedMNIST Classification Decathlon Zhuoran Zheng Xiuyi Jia 26 7 0 20 Apr 2023
Does Continual Learning Equally Forget All Parameters? Haiyan Zhao Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang CLL KELM 37 13 0 09 Apr 2023
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models Numan Saeed Muhammad Ridzuan Hussain Alasmawi I. Sobirov Mohammad Yaqub 13 17 0 03 Apr 2023
Benchmarking FedAvg and FedCurv for Image Classification Tasks Bruno Casella Roberto Esposito C. Cavazzoni Marco Aldinucci FedML 17 12 0 31 Mar 2023
DRIP: Deep Regularizers for Inverse Problems Moshe Eliasof E. Haber Eran Treister 17 7 0 30 Mar 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis Nicola K. Dinsdale M. Jenkinson Ana I. L. Namburete 22 2 0 28 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 45 3 0 27 Mar 2023
Re-thinking Federated Active Learning based on Inter-class Diversity Sangmook Kim Sangmin Bae Hwanjun Song Se-Young Yun FedML 25 14 0 22 Mar 2023
Exploring the Benefits of Visual Prompting in Differential Privacy Yizhe Li Yu-Lin Tsai Xuebin Ren Chia-Mu Yu Pin-Yu Chen AAML VPVLM 13 18 0 22 Mar 2023
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation Joshua C. Zhao Atul Sharma A. Elkordy Yahya H. Ezzeldin Salman Avestimehr S. Bagchi AAML FedML 30 28 0 21 Mar 2023
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios Bruno Casella Roberto Esposito A. Sciarappa C. Cavazzoni Marco Aldinucci FedML 37 14 0 19 Mar 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 41 7 0 15 Mar 2023
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents Weixiong Lin Ziheng Zhao Xiaoman Zhang Chaoyi Wu Ya-Qin Zhang Yanfeng Wang Weidi Xie LM&MA VLM MedIm 23 143 0 13 Mar 2023
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis Soumitri Chattopadhyay Soham Ganguly Sreejit Chaudhury Sayan Nag S. Chattopadhyay 19 0 0 09 Mar 2023
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning Xiaoqin Zhang Zunjie Xiao Xiao Wu Jiansheng Fang Junyong Shen Yan Hu Jiang-Dong Liu 29 10 0 03 Mar 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification Tianpeng Deng Yanqi Huang Guoqiang Han Zhenwei Shi Jiatai Lin Qianming Dou Zaiyi Liu Xiaohui Guo Xin Chen Chu Han FedML 44 6 0 24 Feb 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 25 13 0 20 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 31 177 0 19 Feb 2023
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis Yizhe Zhang Da Chen MedIm LM&MA 14 4 0 17 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 35 13 0 15 Feb 2023
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging Junyi Li Feihu Huang Heng-Chiao Huang FedML 25 1 0 13 Feb 2023
DOMINO: Domain-aware Loss for Deep Learning Calibration Skylar E. Stolte Kyle Volle A. Indahlastari Alejandro Albizu A. Woods Kevin Brink Matthew Hale R. Fang MedIm 13 1 0 10 Feb 2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning Krishnateja Killamsetty A. Evfimievski Tejaswini Pedapati K. Kate Lucian Popa Rishabh K. Iyer 21 6 0 30 Jan 2023
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 14 7 0 04 Dec 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images Wei Chen Chen Li Dan Chen Xin Luo MedIm SSL 30 12 0 27 Nov 2022
Moving Frame Net: SE(3)-Equivariant Network for Volumes Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo 56 6 0 07 Nov 2022
Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems Chong Chen Ying Gao Leyu Shi Siquan Huang AAML 34 0 0 03 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 35 13 0 02 Nov 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
3D Brain and Heart Volume Generative Models: A Survey Yanbin Liu Girish Dwivedi F. Boussaïd Bennamoun MedIm AI4CE 21 6 0 12 Oct 2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning Liangyu Chen Yutong Bai Siyu Huang Yongyi Lu B. Wen Alan Yuille Zongwei Zhou 14 23 0 05 Oct 2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures Suraj Kothawade Akshit Shrivastava V. Iyer Ganesh Ramakrishnan Rishabh K. Iyer 22 1 0 04 Oct 2022
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification Suraj Kothawade Atharv Savarkar V. Iyer Lakshman Tamil Ganesh Ramakrishnan Rishabh K. Iyer 17 8 0 04 Oct 2022
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification Peng-Tao Jiang Juan Liu Lang Wang Zhihui Yang Hongyu Dong Jing Feng 24 2 0 28 Sep 2022
VAESim: A probabilistic approach for self-supervised prototype discovery Matteo Ferrante T. Boccato Simeon E. Spasov A. Duggento N. Toschi 11 4 0 25 Sep 2022
Contrastive learning for unsupervised medical image clustering and reconstruction Matteo Ferrante T. Boccato Simeon E. Spasov A. Duggento N. Toschi SSL DRL 19 2 0 24 Sep 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 18 5 0 23 Sep 2022
Quantum Vision Transformers El Amine Cherrat Iordanis Kerenidis Natansh Mathur Jonas Landman M. Strahm Yun. Y Li ViT 34 55 0 16 Sep 2022
Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets Mehmet Yigit Balik Arwa Rekik I. Rekik OOD FedML AI4CE 11 1 0 13 Sep 2022
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis Florian A. Hölzl Daniel Rueckert Georgios Kaissis FedML MedIm 29 1 0 09 Sep 2022
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++ Barath Mohan Umapathi Kushal Chauhan Pradeep Shenoy D. Sridharan 29 0 0 29 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 17 12 0 19 Aug 2022
MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction Chao Feng Jui Po Hung Aishan Li Jie Yang Xinyu Zhang 30 0 0 14 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 42 56 0 13 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification Yidong Wang Hao Chen Yue Fan Wangbin Sun R. Tao ... T. Shinozaki Bernt Schiele Jindong Wang Xingxu Xie Yue Zhang 19 113 0 12 Aug 2022
Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric Saiteja Utpala Praneeth Vepakomma Nina Miolane 14 7 0 08 Aug 2022
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning Diane Wagner Fabio Ferreira Daniel Stoll R. Schirrmeister Samuel G. Müller Frank Hutter 21 16 0 16 Jul 2022
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification Chenghua Zeng Huijuan Lu Kanghao Chen Ruixuan Wang Weishi Zheng 24 2 0 14 Jul 2022