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
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature Alejandro Lozano M. W. Sun James Burgess Liangyu Chen Jeffrey Nirschl ... Xiaohan Wang Yuhui Zhang Alfred Seunghoon Song Robert Tibshirani Serena Yeung-Levy LM&MA VLM MedIm 66 8 0 13 Jan 2025
UniMo: Universal Motion Correction For Medical Images without Network Retraining Jian Wang Razieh Faghihpirayesh Danny Joca Polina Golland Ali Gholipour 37 0 0 03 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 42 2 0 03 Jan 2025
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers Bohang Sun Pietro Liò ViT AAML 40 1 0 02 Jan 2025
Self-Assembly of a Biologically Plausible Learning Circuit Q. Liao Liu Ziyin Yulu Gan Brian Cheung Mark Harnett Tomaso Poggio 52 0 0 31 Dec 2024
On the Role of Model Prior in Real-World Inductive Reasoning Zhuo Liu Ding Yu Hangfeng He LRM 79 0 0 18 Dec 2024
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions Kai Sun Siyan Xue F. Sun Haoran Sun Yu-Juan Luo ... Xinzhou Wang Lei Yang Shuo Jin Jun Yan Jiahong Dong AI4CE 76 2 0 03 Dec 2024
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise Yeonguk Yu Minhwan Ko Sungho Shin Kangmin Kim K. Lee NoLa 79 1 0 29 Nov 2024
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 97 2 0 27 Nov 2024
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices Anka Reuel Amelia F. Hardy Chandler Smith Max Lamparth Malcolm Hardy Mykel J. Kochenderfer ELM 81 17 0 20 Nov 2024
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging Rui Luo Jie Bao Zhixin Zhou Chuangyin Dang MedIm AAML 37 5 0 07 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 49 0 0 05 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 43 2 0 03 Nov 2024
Large Language Model Benchmarks in Medical Tasks Lawrence K. Q. Yan Ming Li Y. Zhang Caitlyn Heqi Yin Cheng Fei ... Ziqian Bi Pohsun Feng Keyu Chen Junyu Liu Qian Niu LM&MA AI4MH 53 6 0 28 Oct 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 38 0 0 17 Oct 2024
Principal Orthogonal Latent Components Analysis (POLCA Net) Jose Antonio Martin H. Freddy José Perozo Manuel Lopez CML 16 0 0 09 Oct 2024
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning Yang Bai Yang Zhou Jun Zhou Rick Siow Mong Goh Daniel Ting Yong Liu VLM 46 0 0 09 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Philip H. S. Torr Philip Torr Denis Krompass Denis Krompass Volker Tresp 27 2 0 07 Oct 2024
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance Pankhi Kashyap Pavni Tandon Sunny Gupta Abhishek Tiwari Ritwik Kulkarni Kshitij Sharad Jadhav 34 1 0 05 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 46 2 0 03 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation Mucong Ding Bang An Yuancheng Xu Anirudh Satheesh Furong Huang 24 1 0 03 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 57 0 0 03 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 57 0 0 02 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 34 0 0 01 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling K. Mancini I. Rekik 40 1 0 29 Sep 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models Haolin Li Yuhang Zhou Ziheng Zhao Siyuan Du Jiangchao Yao Weidi Xie Ya Zhang Yanfeng Wang 31 1 0 29 Sep 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning Xinrui Wang Chuanxing Geng Wenhai Wan Shao-yuan Li Songcan Chen CLL 39 2 0 28 Sep 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE Xun Zhu Ying Hu Fanbin Mo Miao Li Ji Wu 46 8 0 26 Sep 2024
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations Sebastian Doerrich Francesco Di Salvo Christian Ledig OOD 28 0 0 18 Sep 2024
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval A. Mahbod Nematollah Saeidi Sepideh Hatamikia Ramona Woitek VLM MedIm 31 2 0 14 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 35 0 0 13 Sep 2024
Autoregressive Sequence Modeling for 3D Medical Image Representation Siwen Wang Churan Wang Fei Gao Lixian Su Fandong Zhang Yizhou Wang Yizhou Yu MedIm 23 1 0 13 Sep 2024
Federated Impression for Learning with Distributed Heterogeneous Data Atrin Arya Sana Ayromlou Armin Saadat Purang Abolmaesumi Xiaoxiao Li FedML OOD 26 0 0 11 Sep 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets Sven Oehri Nikolas Ebert Ahmed Abdullah Didier Stricker Oliver Wasenmüller ViT 26 5 0 26 Aug 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 73 0 0 26 Aug 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 29 1 0 24 Aug 2024
Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient Yanfan Zhu Yash Singh Khaled Younis Shunxing Bao Yuankai Huo 14 1 0 15 Aug 2024
PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings Vaibhav Ganatra Drishti Goel 37 0 0 11 Aug 2024
A conformalized learning of a prediction set with applications to medical imaging classification Roy Hirsch Jacob Goldberger MedIm 24 0 0 09 Aug 2024
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine Yunfei Xie Ce Zhou Lang Gao Juncheng Wu Xianhang Li ... Sheng Liu Lei Xing James Zou Cihang Xie Yuyin Zhou LM&MA MedIm 74 24 0 06 Aug 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration Luciana Ferrer Daniel Ramos UQCV 25 4 0 05 Aug 2024
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder Matan Atad D. Schinz Hendrik Moeller Robert Graf Benedikt Wiestler Daniel Rueckert Nassir Navab Jan S. Kirschke Matthias Keicher CML DiffM MedIm 42 3 0 02 Aug 2024
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs Francesco Di Salvo David Tafler Sebastian Doerrich Christian Ledig CML 34 0 0 01 Aug 2024
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing Eugenio Lomurno Matteo Matteucci 41 2 0 30 Jul 2024
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks Atefe Hassani I. Rekik FedML 37 0 0 29 Jul 2024
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? Johannes Kiechle Daniel M. Lang Stefan M. Fischer Lina Felsner J. Peeken Julia A. Schnabel MedIm 32 0 0 24 Jul 2024
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning Josiah D. Couch R. Arnaout Rima Arnaout 34 0 0 22 Jul 2024
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks Eugenio Lomurno Matteo Matteucci MedIm 43 3 0 22 Jul 2024
Enhancing Skin Disease Classification Leveraging Transformer-based Deep Learning Architectures and Explainable AI Jayanth Mohan Arrun Sivasubramanian V. Sowmya Ravi Vinayakumar MedIm 26 4 0 20 Jul 2024
Improving Representation of High-frequency Components for Medical Visual Foundation Models Yuetan Chu Yilan Zhang Zhongyi Han Changchun Yang Longxi Zhou Gongning Luo Chao Huang Xin Gao MedIm 47 1 0 19 Jul 2024