Cover Image

Rethinking model prototyping through the MedMNIST+ dataset collection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Doerrich, Sebastian, Di Salvo, Francesco, Brockmann, Julius, Ledig, Christian
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
by: Di Salvo, Francesco, et al.
Published: (2024)

Privacy-preserving datasets by capturing feature distributions with Conditional VAEs
by: Di Salvo, Francesco, et al.
Published: (2024)

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization
by: Doerrich, Sebastian, et al.
Published: (2024)

Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations
by: Doerrich, Sebastian, et al.
Published: (2024)

An Embedding is Worth a Thousand Noisy Labels
by: Di Salvo, Francesco, et al.
Published: (2024)

HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis
by: Di Salvo, Francesco, et al.
Published: (2026)

Stylizing ViT: Anatomy-Preserving Instance Style Transfer for Domain Generalization
by: Doerrich, Sebastian, et al.
Published: (2026)

Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification
by: Doerrich, Sebastian, et al.
Published: (2024)

Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST
by: Wu, Fuping, et al.
Published: (2025)

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs
by: Di Salvo, Francesco, et al.
Published: (2025)

Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
by: Li, Wanyi, et al.
Published: (2025)

MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention
by: Arora, Aadya, et al.
Published: (2025)

Using generative AI to investigate medical imagery models and datasets
by: Lang, Oran, et al.
Published: (2023)

MedMamba: Vision Mamba for Medical Image Classification
by: Yue, Yubiao, et al.
Published: (2024)

MedYOLO: A Medical Image Object Detection Framework
by: Sobek, Joseph, et al.
Published: (2023)

Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
by: Xu, Jiashu
Published: (2024)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
by: Jha, Debesh, et al.
Published: (2023)

MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
by: Mittal, Avni, et al.
Published: (2025)

Rethinking Perceptual Metrics for Medical Image Translation
by: Konz, Nicholas, et al.
Published: (2024)

Rethinking Transfer Learning for Medical Image Classification
by: Peng, Le, et al.
Published: (2021)

Rethinking Image Skip Connections in StyleGAN2
by: Park, Seung, et al.
Published: (2024)

Multi-Scale Texture Loss for CT denoising with GANs
by: Di Feola, Francesco, et al.
Published: (2024)

Improving Diagnostic Accuracy of Pigmented Skin Lesions With CNNs: an Application on the DermaMNIST Dataset
by: Kadric, Nerma, et al.
Published: (2025)

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
by: Moradi, Nikoo, et al.
Published: (2024)

Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
by: Chen, Gongping, et al.
Published: (2022)

MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
by: Zhan, Chenlu, et al.
Published: (2024)

AlphaDent: A dataset for automated tooth pathology detection
by: Sosnin, Evgeniy I., et al.
Published: (2025)

CaBuAr: California Burned Areas dataset for delineation
by: Cambrin, Daniele Rege, et al.
Published: (2024)

MedUHIP: Towards Human-In-the-Loop Medical Segmentation
by: Zhu, Jiayuan, et al.
Published: (2024)

DiagSet: a dataset for prostate cancer histopathological image classification
by: Koziarski, Michał, et al.
Published: (2021)

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset
by: Bohara, Prabin, et al.
Published: (2026)

Why does Knowledge Distillation Work? Rethink its Attention and Fidelity Mechanism
by: Guo, Chenqi, et al.
Published: (2024)

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration
by: Jian, Bailiang, et al.
Published: (2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop
by: Ma, Jun, et al.
Published: (2024)

Extremal Contours: Gradient-driven contours for compact visual attribution
by: Karimzadeh, Reza, et al.
Published: (2025)

Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine
by: Li, Jialong, et al.
Published: (2024)

Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment
by: Zhan, Zhihao, et al.
Published: (2025)

Enhancing coastal water body segmentation with Landsat Irish Coastal Segmentation (LICS) dataset
by: O'Sullivan, Conor, et al.
Published: (2024)

Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets
by: Rangnekar, Aneesh, et al.
Published: (2024)