{"total":16,"rows":[{"id":"2206.07948","title":"Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts","created":"2022-06-16","cited_by_count":40,"area":null},{"id":"2304.07306","title":"Learning to Defer with Limited Expert Predictions","created":"2023-04-14","cited_by_count":25,"area":null},{"id":"2206.00356","title":"A Survey on Deep Learning for Skin Lesion Segmentation","created":"2022-06-01","cited_by_count":22,"area":null},{"id":"2207.09899","title":"Labeling instructions matter in biomedical image analysis","created":"2022-07-20","cited_by_count":20,"area":null},{"id":"2111.13410","title":"Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation","created":"2021-11-26","cited_by_count":12,"area":null},{"id":"2211.13993","title":"Combating noisy labels in object detection datasets","created":"2022-11-25","cited_by_count":8,"area":null},{"id":"2402.06287","title":"AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems","created":"2024-02-09","cited_by_count":7,"area":null},{"id":"2105.09124","title":"Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images","created":"2021-05-19","cited_by_count":6,"area":null},{"id":"2109.03596","title":"Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth","created":"2021-09-08","cited_by_count":2,"area":null},{"id":"2407.11371","title":"Estimating Agreement by Chance for Sequence Annotation","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2106.06114","title":"Interpreting Expert Annotation Differences in Animal Behavior","created":"2021-06-11","cited_by_count":1,"area":null},{"id":"2211.15341","title":"Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists","created":"2022-11-24","cited_by_count":1,"area":null},{"id":"2504.14795","title":"A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2109.07867","title":"Humanly Certifying Superhuman Classifiers","created":"2021-09-16","cited_by_count":0,"area":null},{"id":"2608.15363","title":"A Multi-Annotator Study of Segmentation Noise and Uncertainty in Turbid Underwater Images","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2610.19912","title":"Quantifying Annotation Agreement in Object Detection with Optimal Transport","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}