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"

48 / 48 papers shown

Title
Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning Cheng Peng Kai Zhang Mengxian Lyu Hongfang Liu Lichao Sun Yonghui Wu LM&MA MedIm VLM 255 0 0 23 May 2025
Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets Daniya Najiha Abdul Kareem Jean Lahoud Mustansar Fiaz Amandeep Kumar Hisham Cholakkal OOD 134 0 0 20 May 2025
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search Lotfi Abdelkrim Mecharbat Ibrahim Almakky Martin Takac Mohammad Yaqub 121 0 0 22 Apr 2025
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification Zhenyu Yang Haiming Zhu Rihui Zhang Haipeng Zhang Jianliang Wang Chunhao Wang Minbin Chen F. Yin MedIm 88 0 0 15 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 174 0 0 12 Apr 2025
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST Chi-Sheng Chen Wei An Hou Siang-Wei Hu Zhen-Sheng Cai VLM 116 2 0 30 Mar 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation Jutika Borah H. Singh MedIm 151 0 0 14 Mar 2025
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 126 0 0 18 Feb 2025
From Pixels to Components: Eigenvector Masking for Visual Representation Learning Alice Bizeul Thomas M. Sutter Alain Ryser Bernhard Schölkopf Julius von Kügelgen Julia E. Vogt 157 2 0 10 Feb 2025
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation Mehmet Can Yavuz Yang Yang MedIm 92 0 0 28 Jan 2025
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature Alejandro Lozano Min Woo Sun James Burgess Liangyu Chen Jeffrey Nirschl ... Xiaohan Wang Yuhui Zhang Alfred Seunghoon Song Robert Tibshirani Serena Yeung-Levy LM&MA VLM MedIm 132 9 0 13 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 190 6 0 03 Jan 2025
UniMo: Universal Motion Correction For Medical Images without Network Retraining Jian Wang Razieh Faghihpirayesh Danny Joca Polina Golland Ali Gholipour 106 0 0 03 Jan 2025
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers Bohang Sun Pietro Liò ViT AAML 120 1 0 02 Jan 2025
Streamlining Prediction in Bayesian Deep Learning Marcus Klasson Talal Alrawajfeh Mikko Heikkilä Martin Trapp UQCV BDL 195 2 0 27 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 212 7 0 07 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 217 3 0 03 Nov 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 98 0 0 17 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 108 0 0 03 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 103 2 0 03 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 90 0 0 01 Oct 2024
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval Amirreza Mahbod Nematollah Saeidi Sepideh Hatamikia Ramona Woitek VLM MedIm 94 3 0 14 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 90 1 0 13 Sep 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 108 0 0 26 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 131 30 0 06 Aug 2024
Dataset Distillation in Medical Imaging: A Feasibility Study Muyang Li Can Cui Quan Liu Ruining Deng Tianyuan Yao Marilyn Lionts Yuankai Huo OOD DD 106 2 0 19 Jul 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 248 2 0 01 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 93 1 0 29 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 109 2 0 29 May 2024
Real Time Multi Organ Classification on Computed Tomography Images H. Yerebakan Y. Shinagawa Gerardo Hermosillo 105 1 0 29 Apr 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 74 0 0 24 Apr 2024
Genetically programmable optical random neural networks Bora Çarpinlioglu Bahrem Serhat Danis 96 5 0 19 Mar 2024
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training Zhixiu Lu Hailong Li N. Parikh Jonathan R. Dillman Lili He MedIm VLM 102 1 0 15 Mar 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 88 2 0 22 Jan 2024
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 149 9 0 25 Sep 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 106 982 0 10 Jun 2021
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 81 303 0 28 Oct 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 147 14,915 0 18 Jun 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning Xi Yang Ding Xia Taichi Kin Takeo Igarashi 61 74 0 02 Mar 2020
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 111 859 0 25 Feb 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella V. Rotemberg P. Tschandl M. E. Celebi Stephen W. Dusza ... Aadi Kalloo Konstantinos Liopyris Michael Marchetti Harald Kittler Allan Halpern 99 1,186 0 09 Feb 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 103 1,019 0 13 Jan 2019
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 99 806 0 27 Jun 2018
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 160 932 0 22 May 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 156 2,525 0 05 May 2017
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 642 10,768 0 19 Feb 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,039 0 22 Dec 2014