{"total":50,"rows":[{"id":"2401.14818","title":"Developing ChemDFM as a large language foundation model for chemistry","created":"2024-01-26","cited_by_count":52,"area":null},{"id":"2402.07016","title":"REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models","created":"2024-02-10","cited_by_count":23,"area":null},{"id":"2407.17856","title":"Enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care","created":"2024-07-25","cited_by_count":15,"area":null},{"id":"2405.00117","title":"Training a high-performance retinal foundation model with half-the-data and 400 times less compute","created":"2024-04-30","cited_by_count":9,"area":null},{"id":"2402.06318","title":"TimEHR: Image-based Time Series Generation for Electronic Health Records","created":"2024-02-09","cited_by_count":8,"area":null},{"id":"2503.05768","title":"A Collection of Innovations in Medical AI for patient records in 2024","created":"2025-02-25","cited_by_count":7,"area":null},{"id":"2509.25095","title":"Benchmarking ECG FMs: A Reality Check Across Clinical Tasks","created":"2025-09-29","cited_by_count":7,"area":null},{"id":"2509.18284","title":"Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction","created":"2025-09-22","cited_by_count":6,"area":null},{"id":"2605.29812","title":"Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language","created":"2026-05-28","cited_by_count":6,"area":null},{"id":"2411.14886","title":"Abnormality Prediction and Forecasting of Laboratory Values from Electrocardiogram Signals Using Multimodal Deep Learning","created":"2024-11-22","cited_by_count":5,"area":null},{"id":"2505.16791","title":"Cohort-Based Active Modality Acquisition","created":"2025-05-22","cited_by_count":5,"area":null},{"id":"2405.15871","title":"Explaining Time Series Classification Predictions via Causal Attributions","created":"2024-05-24","cited_by_count":4,"area":null},{"id":"2507.15584","title":"We Need to Rethink Benchmarking in Anomaly Detection","created":"2025-07-21","cited_by_count":4,"area":null},{"id":"2501.18741","title":"Synthetic Data Generation for Augmenting Small Samples","created":"2025-01-30","cited_by_count":3,"area":null},{"id":"2505.19334","title":"Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales","created":"2025-05-25","cited_by_count":3,"area":null},{"id":"2506.14540","title":"Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs","created":"2025-06-17","cited_by_count":3,"area":null},{"id":"2508.00619","title":"DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models","created":"2025-08-01","cited_by_count":3,"area":null},{"id":"2510.02060","title":"ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection","created":"2025-10-02","cited_by_count":3,"area":null},{"id":"2506.17035","title":"Critical Appraisal of Fairness Metrics in Clinical Predictive AI","created":"2025-06-20","cited_by_count":2,"area":null},{"id":"2509.15107","title":"Limitations of Public Chest Radiography Datasets for Artificial Intelligence: Label Quality, Domain Shift, Bias and Evaluation Challenges","created":"2025-09-18","cited_by_count":2,"area":null},{"id":"2606.08897","title":"A multi-agent system for spine MRI report generation from multi-sequence imaging","created":"2026-06-08","cited_by_count":2,"area":null},{"id":"2502.15996","title":"Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2510.14462","title":"Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review","created":"2025-10-16","cited_by_count":1,"area":null},{"id":"2511.01249","title":"KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2601.06645","title":"A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking","created":"2026-01-10","cited_by_count":1,"area":null},{"id":"2601.18818","title":"LabelKAN -- Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning","created":"2026-01-23","cited_by_count":1,"area":null},{"id":"2604.20127","title":"Trajectory-Aware Reliability Modeling of Democratic Systems","created":"2026-04-22","cited_by_count":1,"area":null},{"id":"2605.18911","title":"Does Your Wildfire Prediction Model Actually Work, or Just Score Well?","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2608.11985","title":"Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias","created":"2026-08-12","cited_by_count":1,"area":null},{"id":"2409.13367","title":"ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2509.17674","title":"Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2510.15138","title":"Fourier Transform Multiple Instance Learning for Whole Slide Image Classification","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2510.16814","title":"Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2510.18520","title":"Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2511.20001","title":"A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2602.03293","title":"Anomaly Detection via Mean Shift Density Enhancement","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2603.29114","title":"Towards Explainable Stakeholder-Aware Requirements Prioritisation in Aged-Care Digital Health","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2604.11171","title":"Development and evaluation of CADe systems in low-prevalence setting: The RARE25 challenge for early detection of Barrett's neoplasia","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.06955","title":"Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.11764","title":"Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.24696","title":"Stream Assembly Is an Uncontrolled Treatment in Streaming Intrusion-Detection Benchmarks","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2605.27616","title":"Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.20208","title":"Beyond Accuracy: Measuring Logical Compliance of Predictive Models","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.02939","title":"Federated generative event models for tokenized electronic health records","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.19801","title":"Unsupervised Anomaly Detection Using Flow Matching on Tabular Data","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2609.10928","title":"AUC Maximization from Biased Positive-unlabeled Data with Confidence","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.17532","title":"Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2609.29580","title":"When Identical Rows Disagree: From Benchmark Identifiability to Replication-Robust Anomaly Detection","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.37675","title":"LEMON-ZEST: Evolution-Informed Tokenization for Efficient Protein Language Modeling","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.04936","title":"Learning under Localized Minority Imbalance","created":"2026-10-04","cited_by_count":0,"area":null}],"next_cursor":null}