BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning
cs.CV, cs.AI
Submitted: 2026-10-05
Updated: 2026-10-05
Comments: 35 pages. Accepted to NeurIPS 2026
Code: https://github.com/lanqz7766/BrainTRACE
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
- Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
- NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders
- Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation
- 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks
- MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis
- PathVQA: 30000+ Questions for Medical Visual Question Answering
- Measuring Massive Multitask Language Understanding
- ReCo-KD: Region- and Context-Aware Knowledge Distillation for Efficient 3D Medical Image Segmentation
- CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
- AutoRG-Brain: Grounded Report Generation for Brain MRI
- Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI
- OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks
- MedGemma Technical Report
- Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models
- Chest ImaGenome Dataset for Clinical Reasoning
- Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs
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