Clinical

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 FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising MIDL 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NeurIPS 2024 Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting EMNLP 2024 Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level EMNLP 2024 Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation ACL 2024