Showing 1–14 of 14 results
/ Date/ Name
Mar 8, 2021Combining Interventional and Observational Data Using Causal ReductionsDec 20, 2023RadEdit: stress-testing biomedical vision models via diffusion image editingNov 3, 2020Problems using deep generative models for probabilistic audio source separationMay 4, 2020Selecting Data Augmentation for Simulating InterventionsSep 16, 2025Data Scaling Laws for Radiology Foundation ModelsOct 16, 2025Comprehensive language-image pre-training for 3D medical image understandingFeb 13, 2018Attention-based Deep Multiple Instance LearningJun 6, 2024MAIRA-2: Grounded Radiology Report GenerationNov 18, 2024MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language ModelsNov 21, 2025Closing the Performance Gap Between AI and Radiologists in Chest X-Ray ReportingMay 24, 2019DIVA: Domain Invariant Variational AutoencodersDec 1, 2017Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology ClassificationJan 11, 2023Learning to Exploit Temporal Structure for Biomedical Vision-Language ProcessingJan 19, 2024Exploring scalable medical image encoders beyond text supervision