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
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model Masahito Toba Seiichi Uchida Hideaki Hayashi 31 0 0 15 Apr 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 44 18 0 09 Apr 2024
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging Keqiang Fan Xiaohao Cai M. Niranjan 25 0 0 03 Apr 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D Dmitrii Zhemchuzhnikov Sergei Grudinin 33 1 0 28 Mar 2024
A Two-Phase Recall-and-Select Framework for Fast Model Selection Jianwei Cui Wenhang Shi Honglin Tao Wei Lu Xiaoyong Du 38 0 0 28 Mar 2024
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection Sihan Shang Jiancheng Yang Zhenglong Sun Pascal Fua 60 0 0 26 Mar 2024
Residual-based Language Models are Free Boosters for Biomedical Imaging Zhixin Lai Jing Wu Suiyao Chen Yucheng Zhou N. Hovakimyan MedIm 38 29 0 26 Mar 2024
Histogram Layers for Neural Engineered Features Joshua Peeples Salim Al Kharsa Luke Saleh Alina Zare 30 2 0 25 Mar 2024
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption Seewoo Lee Garam Lee Jung Woo Kim Junbum Shin Mun-Kyu Lee 33 25 0 21 Mar 2024
Progressive trajectory matching for medical dataset distillation Zhennaan Yu Yang Liu Qingchao Chen DD 42 4 0 20 Mar 2024
Counting Network for Learning from Majority Label Kaito Shiku Shinnosuke Matsuo D. Suehiro Ryoma Bise 31 0 0 20 Mar 2024
Genetically programmable optical random neural networks Bora Çarpinlioglu Bahrem Serhat Danis 33 5 0 19 Mar 2024
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking Weixiang Sun Yixin Liu Zhiling Yan Kaidi Xu Lichao Sun AAML 37 3 0 15 Mar 2024
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training Zhixiu Lu Hailong Li Lili He VLM MedIm 37 0 0 15 Mar 2024
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity Zhuo Zhi Ziquan Liu M. Elbadawi Adam Daneshmend Mine Orlu Abdul Basit Andreas Demosthenous Miguel R. D. Rodrigues 34 2 0 14 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 31 1 0 12 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models Haowei Zhu Ling Yang Jun-Hai Yong Hongzhi Yin Jiawei Jiang Meng Xiao Wentao Zhang Bin Wang 33 2 0 11 Mar 2024
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification Yaoyao Zhu Xiuding Cai Xueyao Wang Xiaoqing Chen Yu Yao Zhongliang Fu MedIm 40 1 0 10 Mar 2024
Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees Maddimsetti Srinivas Debdoot Sheet FAtt 19 0 0 10 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato S. Mougiakakou 39 0 0 08 Mar 2024
When do Convolutional Neural Networks Stop Learning? Sahan Ahmad Gabriel Trahan Aminul Islam OOD SSL 27 0 0 04 Mar 2024
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging Meng Lou Hanning Ying Xiaoqing Liu Hong-Yu Zhou Yuqing Zhang Yizhou Yu MedIm 44 8 0 27 Feb 2024
Self-supervised Visualisation of Medical Image Datasets I. V. Nwabufo Jan Niklas Böhm Philipp Berens D. Kobak 42 0 0 22 Feb 2024
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control Ghada Zamzmi Kesavan Venkatesh Brandon Nelson Smriti Prathapan Paul H Yi B. Sahiner Jana G. Delfino OOD 24 0 0 12 Feb 2024
SAE: Single Architecture Ensemble Neural Networks Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues UQCV 15 0 0 09 Feb 2024
Copycats: the many lives of a publicly available medical imaging dataset Amelia Jiménez-Sánchez Natalia-Rozalia Avlona Dovile Juodelyte Théo Sourget Caroline Vang-Larsen Anna Rogers Hubert Dariusz Zajkac V. Cheplygina 29 0 0 09 Feb 2024
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 37 6 0 25 Jan 2024
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets Kumar Abhishek Aditi Jain Ghassan Hamarneh 46 3 0 25 Jan 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 40 2 0 22 Jan 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images N. Konz Maciej Mazurowski 17 5 0 16 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang 26 0 0 09 Jan 2024
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning Aarash Feizi Randall Balestriero Adriana Romero Soriano Reihaneh Rabbany 26 0 0 03 Jan 2024
Replica Tree-based Federated Learning using Limited Data Ramona Ghilea I. Rekik 24 0 0 28 Dec 2023
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 55 11 0 28 Dec 2023
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs Christopher Adnel I. Rekik GNN 28 0 0 27 Dec 2023
Sample selection with noise rate estimation in noise learning of medical image analysis Maolin Li G. Tarroni OOD 32 0 0 23 Dec 2023
Testing the Segment Anything Model on radiology data J. Almeida N. M. Rodrigues Sara Silva Nickolas Papanikolaou MedIm VLM 39 1 0 20 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 34 7 0 18 Dec 2023
DIRECT: Deep Active Learning under Imbalance and Label Noise Shyam Nuggehalli Jifan Zhang Lalit P. Jain Robert D. Nowak 26 9 0 14 Dec 2023
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks Lingxiao Luo Xuanzhong Chen Bingda Tang Xinsheng Chen Rong Han Chengpeng Hu Yujiang Li Ting Chen MedIm 23 2 0 12 Dec 2023
Anytime Approximate Formal Feature Attribution Jinqiang Yu Graham Farr Alexey Ignatiev Peter James Stuckey 22 2 0 12 Dec 2023
Medical Vision Language Pretraining: A survey Prashant Shrestha Sanskar Amgain Bidur Khanal Cristian A. Linte Binod Bhattarai VLM 32 14 0 11 Dec 2023
Are Ensembles Getting Better all the Time? Pierre-Alexandre Mattei Damien Garreau OOD FedML 41 1 0 29 Nov 2023
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs Yizheng Zhu Yuncheng Wu Zhaojing Luo Beng Chin Ooi Xiaokui Xiao 35 4 0 26 Nov 2023
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images Nicolas Bourriez Ihab Bendidi Ethan O. Cohen Gabriel Watkinson Maxime Sanchez Guillaume Bollot Auguste Genovesio MedIm 19 8 0 26 Nov 2023
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification Vasilis Siomos Sergio Naval Marimont Jonathan Passerat-Palmbach G. Tarroni 40 0 0 24 Nov 2023
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology Asma Ben Abacha Alberto Santamaría-Pang Ho Hin Lee J. Merkow Qin Cai ... Julia Gong M. Lungren Thomas Lin Noel Codella I. Tarapov 23 5 0 23 Nov 2023
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning Paul Scemama Ariel Kapusta 40 0 0 21 Nov 2023
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model Raphael Schäfer Till Nicke Henning Höfener Annkristin Lange Dorit Merhof Friedrich Feuerhake Volkmar Schulz Johannes Lotz Fabian Kiessling VLM 16 17 0 16 Nov 2023
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification Pervaiz Iqbal Khan Andreas Dengel Sheraz Ahmed MedIm 18 3 0 31 Oct 2023