Medical Diagnosis
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Benchmarks
BreastDICOM4
Most implemented
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
A Benchmark of Medical Out of Distribution Detection
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks
Papers
A Kernel-Based Modular Discriminant Analysis Framework for Small-Sample Learning
The small-sample-size (SSS) problem remains a fundamental challenge in machine learning when labeled data are scarce due to cost, accessibility, or ethical constraints. While numerous approaches have been proposed, exist…
Hyperspectral Image ClassificationMedical DiagnosisFace RecognitionFault DiagnosisFedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification
Artificial intelligence models are promising for medical diagnosis, but they require large numbers of unbiased data, which in medicine are distributed across hospitals and cannot be centralized to protect patient privacy…
Federated LearningMedical DiagnosisSMILE: Self-Explainable Multimodal Information Bottleneck for Medical Diagnosis
Explainability is increasingly seen as a crucial requirement in AI-based medical diagnosis, particularly in safety-critical clinical decision-making. Most existing explainability methods in healthcare operate in a post-h…
Medical DiagnosisFrom Uncertainty to Clinical Risk: Severity-Aware Conformal Planning for Interactive Medical Diagnosis
Interactive medical diagnosis dynamically acquires patient information through multiple rounds of questioning, supporting accurate, efficient, and safe clinical decisions under incomplete evidence. Existing methods commo…
Medical DiagnosisDecision MakingGrading the Graders: Verification Autonomy Levels (L0-L5) for LLM Reasoning
Large language models (LLMs) are increasingly paired with verifiers (step checkers, self-consistency filters, tool-based fact checkers, formal proof assistants) that claim to detect the model's errors. Yet the verificati…
Medical DiagnosisCode GenerationThe 1st AI Children Challenge
The First AI Children Challenge aims to advance real-world applications of computer vision and AI in child healthcare, child education, and pediatrics. The 2026 CV4CHL edition featured the first track in this domain: Chi…
Action RecognitionMedical Diagnosis