Medical AI

Segmental and Suprasegmental Speech Foundation Models for Classifying Cognitive Risk Factors: Evaluating Out-of-the-Box Performance Interspeech 2024 Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data AAAI 2024 SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials SemEval 2024 Simple and scalable algorithms for cluster-aware precision medicine AISTATS 2024 SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers CVPR 2024 SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark NeurIPS 2024 SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NeurIPS 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 Snuffy: Efficient Whole Slide Image Classifier ECCV 2024 SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer’s Disease Detection ACL 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 string2string: A Modern Python Library for String-to-String Algorithms ACL 2024 Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction MIDL 2024 SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NeurIPS 2024 Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee JMLR 2024 Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification CVPR 2024 Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract) AAAI 2024 The Interspeech 2024 TAUKADIAL Challenge: Multilingual Mild Cognitive Impairment Detection with Multimodal Approach Interspeech 2024 Therapist Self-Disclosure as a Natural Language Processing Task EACL 2024 To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering ACL 2024 Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies ACL 2024 Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning NeurIPS 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NeurIPS 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NeurIPS 2024