MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Yi, Ding, Yihao, Wu, Yonghui, Peng, Yifan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation
by: Baba, Kaito, et al.
Published: (2026)
by: Baba, Kaito, et al.
Published: (2026)
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
by: Lin, Jingyang, et al.
Published: (2024)
by: Lin, Jingyang, et al.
Published: (2024)
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation
by: Chen, Yucheng, et al.
Published: (2026)
by: Chen, Yucheng, et al.
Published: (2026)
Online Iterative Self-Alignment for Radiology Report Generation
by: Xiao, Ting, et al.
Published: (2025)
by: Xiao, Ting, et al.
Published: (2025)
Designing a Robust Radiology Report Generation System
by: Singh, Sonit
Published: (2024)
by: Singh, Sonit
Published: (2024)
CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
by: Baharoon, Mohammed, et al.
Published: (2026)
by: Baharoon, Mohammed, et al.
Published: (2026)
Semantically Informed Salient Regions Guided Radiology Report Generation
by: Hou, Zeyi, et al.
Published: (2025)
by: Hou, Zeyi, et al.
Published: (2025)
ABRA: Agent Benchmark for Radiology Applications
by: Maksudov, Bulat, et al.
Published: (2026)
by: Maksudov, Bulat, et al.
Published: (2026)
Enhancing Radiology Report Generation and Visual Grounding using Reinforcement Learning
by: Gundersen, Benjamin, et al.
Published: (2025)
by: Gundersen, Benjamin, et al.
Published: (2025)
CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models
by: Alam, Hasan Md Tusfiqur, et al.
Published: (2025)
by: Alam, Hasan Md Tusfiqur, et al.
Published: (2025)
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
by: Wu, Puzhen, et al.
Published: (2025)
by: Wu, Puzhen, et al.
Published: (2025)
Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings
by: Mahmood, Razi, et al.
Published: (2024)
by: Mahmood, Razi, et al.
Published: (2024)
Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation
by: Tao, Yitian, et al.
Published: (2024)
by: Tao, Yitian, et al.
Published: (2024)
MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
by: Xing, Qilong, et al.
Published: (2025)
by: Xing, Qilong, et al.
Published: (2025)
Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components
by: Warr, Hermione, et al.
Published: (2024)
by: Warr, Hermione, et al.
Published: (2024)
CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs
by: Xu, Jianfei, et al.
Published: (2024)
by: Xu, Jianfei, et al.
Published: (2024)
Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling
by: Killeen, Benjamin D., et al.
Published: (2025)
by: Killeen, Benjamin D., et al.
Published: (2025)
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
by: Li, Yingshu, et al.
Published: (2024)
by: Li, Yingshu, et al.
Published: (2024)
Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation
by: Liu, Che, et al.
Published: (2024)
by: Liu, Che, et al.
Published: (2024)
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation
by: Abdulaal, Ahmed, et al.
Published: (2024)
by: Abdulaal, Ahmed, et al.
Published: (2024)
MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement
by: Deng, Xiwei, et al.
Published: (2024)
by: Deng, Xiwei, et al.
Published: (2024)
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
by: Zhang, Xu, et al.
Published: (2025)
by: Zhang, Xu, et al.
Published: (2025)
DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation
by: Song, Shanshan, et al.
Published: (2025)
by: Song, Shanshan, et al.
Published: (2025)
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
by: Molino, Daniele, et al.
Published: (2025)
by: Molino, Daniele, et al.
Published: (2025)
From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?
by: Yi, Chang'an, et al.
Published: (2023)
by: Yi, Chang'an, et al.
Published: (2023)
EMRRG: Efficient Fine-Tuning Pre-trained X-ray Mamba Networks for Radiology Report Generation
by: Zhang, Mingzheng, et al.
Published: (2025)
by: Zhang, Mingzheng, et al.
Published: (2025)
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
by: Zhang, Xiaoman, et al.
Published: (2024)
by: Zhang, Xiaoman, et al.
Published: (2024)
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
by: Zhang, Xiaoman, et al.
Published: (2024)
by: Zhang, Xiaoman, et al.
Published: (2024)
PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction
by: Huang, Bin, et al.
Published: (2026)
by: Huang, Bin, et al.
Published: (2026)
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends
by: Ding, Yihao, et al.
Published: (2025)
by: Ding, Yihao, et al.
Published: (2025)
Large Language Model with Region-guided Referring and Grounding for CT Report Generation
by: Chen, Zhixuan, et al.
Published: (2024)
by: Chen, Zhixuan, et al.
Published: (2024)
R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation
by: Wang, Futian, et al.
Published: (2025)
by: Wang, Futian, et al.
Published: (2025)
The Era of Foundation Models in Medical Imaging is Approaching : A Scoping Review of the Clinical Value of Large-Scale Generative AI Applications in Radiology
by: Seo, Inwoo, et al.
Published: (2024)
by: Seo, Inwoo, et al.
Published: (2024)
S2D-ALIGN: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation
by: Gao, Jiechao, et al.
Published: (2025)
by: Gao, Jiechao, et al.
Published: (2025)
OraPO: Oracle-educated Reinforcement Learning for Data-efficient and Factual Radiology Report Generation
by: Chen, Zhuoxiao, et al.
Published: (2025)
by: Chen, Zhuoxiao, et al.
Published: (2025)
Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
by: Baharoon, Mohammed, et al.
Published: (2023)
by: Baharoon, Mohammed, et al.
Published: (2023)
A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation
by: Liang, Renjie, et al.
Published: (2025)
by: Liang, Renjie, et al.
Published: (2025)
Dia-LLaMA: Towards Large Language Model-driven CT Report Generation
by: Chen, Zhixuan, et al.
Published: (2024)
by: Chen, Zhixuan, et al.
Published: (2024)
GazeSearch: Radiology Findings Search Benchmark
by: Pham, Trong Thang, et al.
Published: (2024)
by: Pham, Trong Thang, et al.
Published: (2024)
Similar Items
-
Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation
by: Baba, Kaito, et al.
Published: (2026) -
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
by: Lin, Jingyang, et al.
Published: (2024) -
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models
by: Chen, Hao, et al.
Published: (2024) -
RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation
by: Chen, Yucheng, et al.
Published: (2026) -
Online Iterative Self-Alignment for Radiology Report Generation
by: Xiao, Ting, et al.
Published: (2025)