{"total":20,"rows":[{"id":"2211.12717","title":"Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks","created":"2022-11-23","cited_by_count":49,"area":null},{"id":"2107.01873","title":"Detecting Concept Drift With Neural Network Model Uncertainty","created":"2021-07-05","cited_by_count":22,"area":null},{"id":"2107.05630","title":"Challenges for machine learning in clinical translation of big data imaging studies","created":"2021-07-07","cited_by_count":15,"area":null},{"id":"2102.01897","title":"Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss","created":"2021-02-03","cited_by_count":9,"area":null},{"id":"2109.09533","title":"Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization","created":"2021-09-20","cited_by_count":6,"area":null},{"id":"2411.16370","title":"A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation","created":"2024-11-25","cited_by_count":6,"area":null},{"id":"2101.04386","title":"Using uncertainty estimation to reduce false positives in liver lesion detection","created":"2021-01-12","cited_by_count":5,"area":null},{"id":"2206.10911","title":"Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection","created":"2022-06-22","cited_by_count":3,"area":null},{"id":"2306.16556","title":"Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks","created":"2023-06-28","cited_by_count":3,"area":null},{"id":"2110.15681","title":"False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation","created":"2021-10-29","cited_by_count":2,"area":null},{"id":"2104.08789","title":"An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth","created":"2021-04-18","cited_by_count":1,"area":null},{"id":"2109.06909","title":"Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography","created":"2021-09-14","cited_by_count":1,"area":null},{"id":"2109.14879","title":"Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow","created":"2021-09-30","cited_by_count":1,"area":null},{"id":"2210.01864","title":"Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints","created":"2022-10-04","cited_by_count":1,"area":null},{"id":"2304.07991","title":"One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt","created":"2023-04-17","cited_by_count":1,"area":null},{"id":"2108.13118","title":"Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation","created":"2021-08-30","cited_by_count":0,"area":null},{"id":"2212.10877","title":"TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation","created":"2022-12-21","cited_by_count":0,"area":null},{"id":"2412.07156","title":"QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction","created":"2024-12-10","cited_by_count":0,"area":null},{"id":"2605.06475","title":"Probabilistic Dating of Historical Manuscripts via Evidential Deep Regression on Visual Script Features","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2607.12212","title":"Uncertainty-Aware Multi-Source Retinal Fluid Segmentation in OCT","created":"2026-07-09","cited_by_count":0,"area":null}],"next_cursor":null}