{"total":31,"rows":[{"id":"2304.09218","title":"Generative models improve fairness of medical classifiers under distribution shifts","created":"2023-04-18","cited_by_count":90,"area":null},{"id":"2306.07999","title":"Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy","created":"2023-06-13","cited_by_count":9,"area":null},{"id":"2409.17091","title":"Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification","created":"2024-09-25","cited_by_count":4,"area":null},{"id":"2411.06842","title":"Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation","created":"2024-11-11","cited_by_count":3,"area":null},{"id":"2303.07272","title":"Inventing a coin-flip classifier: Accounting for multiplicity in machine learning benchmark performance","created":"2023-03-10","cited_by_count":2,"area":null},{"id":"2405.09251","title":"Measuring Model-Induced Discrimination via Efficient Fairness Approximation","created":"2024-05-15","cited_by_count":2,"area":null},{"id":"2505.10630","title":"How many measurements are enough? Bayesian recovery in inverse problems with general distributions","created":"2025-05-15","cited_by_count":2,"area":null},{"id":"2508.13626","title":"State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability","created":"2025-08-19","cited_by_count":1,"area":null},{"id":"2512.17581","title":"Medical Imaging AI Competitions Lack Fairness","created":"2025-12-19","cited_by_count":1,"area":null},{"id":"2606.24944","title":"A Leakage-Aware Comparative Benchmark of Machine Learning, Deep Learning, and Transformer Models for Reliable Leukemia Detection","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2403.05532","title":"Twin: Tuning Learning Rate and Weight Decay of Deep Homogeneous Classifiers without Validation","created":"2024-03-08","cited_by_count":0,"area":null},{"id":"2509.05305","title":"Predicting Brain Morphogenesis via Physics-Transfer Learning","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2603.13044","title":"GP-VM$\\times$SMA: Benchmarking General-Purpose Vision Models and Specialized Architectures for 2D Medical Image Segmentation","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2604.11508","title":"Not All Forgetting Is Equal: Retention Dynamics in Fine-Tuned Image Classifiers","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.13146","title":"On Hallucinations in Inverse Problems: Fundamental Limits and Provable Assessment Methods","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.14980","title":"MicroscopyMatching: Towards a Ready-to-use Framework for Microscopy Image Analysis in Diverse Conditions","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.06509","title":"Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.17420","title":"Feynman Kac Reweighted Schr\\\"odinger Bridge Matching for Surface-Based Tau PET Harmonization","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2606.19827","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.00872","title":"Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2608.03342","title":"When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.24364","title":"B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.29677","title":"MedSegBenchmarker: A Raw-Count-First Framework for Controlled 2D Medical Image Segmentation Benchmarks","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2609.12834","title":"Self-supervised Pre-training Helps Retinal Disease Progression Modelling Most When Data Is Scarce","created":"2026-09-11","cited_by_count":0,"area":null},{"id":"2609.23460","title":"TRACE: Tractable Routing Autoencoder for Clinical ECG","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2609.28567","title":"Leakage-Safe Machine Learning for Hydrogen Embrittlement Detection in 316L Stainless Steel: A Region-Held-Out Evaluation of Texture and Deep Features in SEM Micrographs","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.33769","title":"M3-Score: Fidelity, Memorization and Coverage as Separate Axes for Evaluating Generative Radiology Image Models","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.37848","title":"Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38465","title":"Does Gradient Conflict Predict the Understanding--Generation Trade-off? A Controlled Audit of Conflict-Metric Validity in Unified Multimodal Models","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.00421","title":"Scores That Hold, Benchmarks That Leak: Measuring Dataset Contamination in Public Brain-Tumor MRI Classification","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.02136","title":"MIRTO: a registration-gated, multiverse-tested evaluation protocol for unsupervised anomaly segmentation in brain MRI","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}