Showing 1–19 of 19 results
/ Date/ Name
Mar 10, 2019Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis InitiativeMar 10, 2019Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis InitiativeAug 2, 2020Looking in the Right place for Anomalies: Explainable AI through Automatic Location LearningJun 21, 2019Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-raysJul 27, 2020Chest X-ray Report Generation through Fine-Grained Label LearningMar 9, 2019Age prediction using a large chest X-ray datasetNov 18, 2022Towards Automatic Prediction of Outcome in Treatment of Cerebral AneurysmsMar 10, 2019Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis InitiativeSep 24, 2024Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical ConsiderationsJul 28, 2025StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional EvaluationJul 31, 2021Chest ImaGenome Dataset for Clinical ReasoningJul 26, 2019Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge DistillationSep 29, 2021MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated EvaluationAug 9, 2024Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular UltrasoundAug 6, 2021Basis Scaling and Double Pruning for Efficient Inference in Network-Based Transfer LearningMar 22, 2021Channel Scaling: A Scale-and-Select Approach for Transfer LearningSep 15, 2020Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI DevelopmentAug 4, 2020Learning Invariant Feature Representation to Improve Generalization across Chest X-ray DatasetsMay 3, 2020Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification