Showing 1–20 of 75 results
/ Date/ Name
Aug 7, 2018Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance ImagingFeb 18, 2021Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-raysDec 1, 2023Identifying Spurious Correlations using Counterfactual AlignmentFeb 6, 2023DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion ModelsMay 2, 2023RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language ModelsNov 14, 2024Time-to-Event Pretraining for 3D Medical ImagingFeb 11, 2021Measuring Robustness in Deep Learning Based Compressive SensingJun 10, 2024Merlin: A Computed Tomography Vision-Language Foundation Model and DatasetOct 31, 2021TorchXRayVision: A library of chest X-ray datasets and modelsSep 29, 2021MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated EvaluationJun 14, 2024LieRE: Lie Rotational Positional EncodingsMay 2, 2025Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI IntegrationFeb 1, 2021MRSaiFE: Tissue Heating Prediction for MRI: a Feasibility StudyAug 22, 2023ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World DataOct 1, 2024Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for NeuroimagingDec 29, 2024Regulating radiology AI medical devices that evolve in their lifecycleNov 23, 2022RoentGen: Vision-Language Foundation Model for Chest X-ray GenerationNov 6, 2024RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language ModelsFeb 20, 2025MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable AutoencodersFeb 11, 2025Explaining 3D Computed Tomography Classifiers with Counterfactuals