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Medical AI

1,539 papers

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Papers

To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling MLHC 2024 TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease CVPR 2024 Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images CVPR 2024 UltraMedical: Building Specialized Generalists in Biomedicine NeurIPS 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling NeurIPS 2024 Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NeurIPS 2024 Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024 Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training ICML 2024 Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation AISTATS 2024 Using AI Uncertainty Quantification to Improve Human Decision-Making ICML 2024 Using articulated speech EEG signals for imagined speech decoding Interspeech 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 Video Polyp Segmentation using Implicit Networks MIDL 2024 VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation AAAI 2024 VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis CVPR 2024 Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains MIDL 2024 Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation ICML 2024 When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP 2024 When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NeurIPS 2024 YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection Interspeech 2024 AbDiffuser: full-atom generation of in-vitro functioning antibodies NeurIPS 2023 Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time ICML 2023