Showing 1–20 of 29 results
/ Date/ Name
Apr 8, 2026From Static to Interactive: Adapting Visual in-Context Learners for User-Driven TasksApr 7, 2026Probing Intrinsic Medical Task Relationships: A Contrastive Learning PerspectiveJun 18, 2025Conquering the Retina: Bringing Visual in-Context Learning to OCTJul 22, 2025Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve ReplacementApr 27, 2021Every Annotation Counts: Multi-label Deep Supervision for Medical Image SegmentationJul 1, 2025Is Visual in-Context Learning for Compositional Medical Tasks within Reach?Jul 20, 2022Deep reinforcement learning for key distribution based on quantum repeatersJan 13, 2026Optimal logical Bell measurements on stabilizer codes with linear opticsJul 12, 2021Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesMay 14, 2022Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive TrainingMay 16, 2025Analytical Fidelity Calculations for Photonic Linear Cluster State GenerationMar 8, 2024A Paradigm Shift in Catheter Development: Thermally Drawn Polymeric Fibers for MR-Guided Cardiovascular InterventionsMar 2, 2022Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationJun 14, 2024SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic GradingMay 27, 2025Good Enough: Is it Worth Improving your Label Quality?Jul 8, 2024Anatomy-guided Pathology SegmentationOct 24, 2024Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation TasksDec 1, 2021Reference-guided Pseudo-Label Generation for Medical Semantic SegmentationMar 13, 2023Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical ImagingJun 6, 2023Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling