Healthcare & Medicine

Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions Interspeech 2024 Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics ICML 2024 Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment Interspeech 2024 Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels EACL 2024 Exploring the Emotional Dimension of French Online Toxic Content COLING 2024 Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold ICML 2024 Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models MIDL 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation ACL 2024 Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models EACL 2024 Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information EMNLP 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence ACL 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records MLHC 2024 Fairness in Survival Analysis with Distributionally Robust Optimization JMLR 2024 FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection IJCAI 2024 Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation ECCV 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NeurIPS 2024 FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data WACV 2024 Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology CVPR 2024 FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise AAAI 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024 Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024