NeurIPS 2024 Past Large language modelsInterpretabilityHealthcare & biology
Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond
AIM-FM Workshop @ NeurIPS'24
- Submission deadline
- Sep 26, 2024, 23:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (81)
Fetched from OpenReview (v2) on 2026-06-10.
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A Benchmark for Long-Form Medical Question Answering
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A self-supervised framework for learning whole slide representations
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A Self-Supervised Model for Multi-modal Stroke Risk Prediction
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A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
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Adaptive Reasoning and Acting in Medical Language Agents
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An Autonomous Dual-channel Entity Recognition Method for Chinese Acupuncture
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Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs
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Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels
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Armadillo: Robust Secure Aggregation for Federated Learning with Input Validation
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Assessment of Medical Foundation Models for Survival Prediction with Whole Slide Images
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ASTRID - An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems
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Best of Both Worlds: Harmonizing LLM Capabilities in Decision-Making and Question-Answering for Treatment Regimes
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Biomedical SAM-2: Segment Anything in Biomedical Images and Videos
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Catching the Spikes: Heteroscedastic Uncertainty Quantification for Enhanced Malaria Prediction
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Cell Instance Segmentation with Large Vision Model for Circulating Aberrant Cells Identification through Fluorescence In Situ Hybridization Images
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Cell ontology guided transcriptome foundation model
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Classification of Melanoma Skin Cancer with Ensemble Learning and Stratified K-Fold Validation
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Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases
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Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status
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Data Adaptive Few-shot Multi-label Segmentation with Foundation Model
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DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
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Deep Generative Models Unveil Patterns in Medical Images Through Vision- “Language” Conditioning
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Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
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Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources
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DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models
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DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning using Packed Secret Sharing
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Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study
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Do Large Language Models have Shared Weaknesses in Medical Question Answering?
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Enhancing Interpretability and Fairness in Medical Foundation Models: A Generative Approach for Explainable and Bias-Mitigated Medical Image Analysis
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Enhancing Medical NLP Systems: Integrating Upstash Vector and BGE-M3 for Accurate and Ethical Healthcare Data Management with Reduced Bias
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Enhancing Trust in AI-Driven Dermatology: CLIP for Explainable Skin Lesion Diagnosis
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Explaining Chest X-ray Pathology Models using Textual Concepts
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Explaining Clusters Using Minimal Weighted Edge Coverage
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Exploring Fairness in Long-Term Prediction of Type 2 Diabetes Microvascular Complications
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Fairness Of AI Models in vector embedded Chest X-ray representations
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Federated Self-Supervised Single-cell Clustering of scRNA-seq Data
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Gaze-Assisted Medical Image Segmentation
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Generative AI in the Hospital: A Participatory Assessment of Healthcare Needs and Challenges
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Going beyond H&E and Oncology: how do Histopathology Foundation Models perform for multi-stain IHC & Immunology?
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GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM
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Hetero-UNet: Heterogeneous Transformer with Mamba for Medical Image Segmentation
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How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?
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Improving the Classification Effect of Clinical Images of Diseases for Multi-Source Privacy Protection
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Integrating Image Interpretation and Textual Context for Improved Breast Imaging Classification
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Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection
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JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging
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Learning biologically relevant features in a pathology foundation model using sparse autoencoders
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Leveraging Multimodal Machine Learning for Predictive Diagnostics of Adolescent Mental Health Disorders
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Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection
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M3H: Multimodal Multitask Machine Learning for Healthcare
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MambaHealth: A Lightweight Foundation Model for Efficient Drug Recommendation
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Masked Modeling for Single-cell Clustering of scRNA‐seq Data
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Med-FastSAM: Improving Transfer Efficiency of SAM to Domain-Generalised Medical Image Segmentation
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Medical Imaging Complexity and its Effects on GAN Performance
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MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
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MSA-LM: Integrating DNA-level Inductive Biases into DNA Language Models
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Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities
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Necessity of Uncertainty Quantification for Audio-driven Healthcare Diagnosis
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Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification
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PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals
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PICASO: Secure Aggregation for Federated Learning with Minimal Synchronization
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Precise Lens Status Classification via Projection Tuning for Efficient Adaptation to Data Shifts in Small Cataract Image Datasets
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ProMISe: Promptable Medical Image Segmentation using SAM
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Promoting cross-modal representations to improve multimodal foundation models for physiological signals
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QViSTA: A Novel Quantum Vision Transformer for Early Multi-Stage Alzheimer’s Diagnosis Using Optimized Variational Quantum Circuits
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Random Token Fusion for Multi-View Medical Diagnosis
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Reliability in AI-Assisted Critical Care: Assessing Large Language Model Robustness and Instruction Following for Cardiac Arrest Identification
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Research Journey of Generative Protein Modeling
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RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
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SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting
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Sentiment Reasoning for Healthcare
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Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
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Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models
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Synthetic Multimodal Data Generation and Training Optimization For Computed Tomography Cardiac Imaging Applications
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Towards a Personal Health Large Language Model
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Towards Foundation Models for Critical Care Time Series
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Training Free Adaptive Text Classification through Aggregated Large Language Models
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TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
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Universal Speech Disorder Recognition: Towards a Foundation Model for Cross-Pathology Generalisation
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VidLPRO: A Video-Language Pre-training Framework for Robotic and Laparoscopic Surgery
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