Cover Image

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Tengfei, Wang, Jiapu, Hu, Yongli, Li, Mingjie, Yi, Junfei, Chang, Xiaojun, Gao, Junbin, Yin, Baocai
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification
by: Liu, Tengfei, et al.
Published: (2024)

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation
by: Li, Mingjie, et al.
Published: (2024)

Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection
by: Yi, Junfei, et al.
Published: (2024)

Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering
by: Li, Ao, et al.
Published: (2026)

TagaVLM: Topology-Aware Global Action Reasoning for Vision-Language Navigation
by: Liu, Jiaxing, et al.
Published: (2026)

Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
by: Jiang, Huajie, et al.
Published: (2025)

Medical Report Generation Is A Multi-label Classification Problem
by: Fan, Yijian, et al.
Published: (2024)

Act Like a Radiologist: Radiology Report Generation across Anatomical Regions
by: Chen, Qi, et al.
Published: (2023)

KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
by: Li, Yingshu, et al.
Published: (2024)

Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning
by: Zhou, Zijian, et al.
Published: (2024)

Textual Inversion and Self-supervised Refinement for Radiology Report Generation
by: Luo, Yuanjiang, et al.
Published: (2024)

RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
by: Pellegrini, Chantal, et al.
Published: (2023)

MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
by: Sharma, Harshita, et al.
Published: (2024)

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model
by: Wang, Yuhao, et al.
Published: (2024)

Exploring Multimodal Large Language Models for Radiology Report Error-checking
by: Wu, Jinge, et al.
Published: (2023)

Visual Alignment of Medical Vision-Language Models for Grounded Radiology Report Generation
by: Bose, Sarosij, et al.
Published: (2025)

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models
by: Yin, Xiaojie, et al.
Published: (2025)

Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion
by: Sun, Kai, et al.
Published: (2024)

Exploring Part-Informed Visual-Language Learning for Person Re-Identification
by: Lin, Yin, et al.
Published: (2023)

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection
by: Hou, Wenjun, et al.
Published: (2025)

Radiology Report Generation for Low-Quality X-Ray Images
by: Zhu, Hongze, et al.
Published: (2026)

On the Consistency of Video Large Language Models in Temporal Comprehension
by: Jung, Minjoon, et al.
Published: (2024)

Rethinking the Efficiency and Effectiveness of Reinforcement Learning for Radiology Report Generation
by: Lu, Zilin, et al.
Published: (2026)

Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages
by: Salmè, Marco, et al.
Published: (2025)

S2D-ALIGN: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation
by: Gao, Jiechao, et al.
Published: (2025)

GAMBIT: A Gamified Jailbreak Framework for Multimodal Large Language Models
by: Hu, Xiangdong, et al.
Published: (2026)

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language
by: Chang, Qikai, et al.
Published: (2024)

CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
by: Wang, Jun, et al.
Published: (2022)

Adapter-Enhanced Semantic Prompting for Continual Learning
by: Yin, Baocai, et al.
Published: (2024)

ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation
by: Hou, Wenjun, et al.
Published: (2024)

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
by: Gu, Difei, et al.
Published: (2025)

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts
by: Gao, Yijian, et al.
Published: (2024)

Scene Graph Aided Radiology Report Generation
by: Wang, Jun, 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)

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation
by: Liu, Che, et al.
Published: (2024)

A Systematic Review of Deep Learning-based Research on Radiology Report Generation
by: Liu, Chang, et al.
Published: (2023)

UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation
by: Chen, Yaxiong, et al.
Published: (2025)

Ensemble Predicate Decoding for Unbiased Scene Graph Generation
by: Feng, Jiasong, et al.
Published: (2024)

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation
by: Lin, Yi, et al.
Published: (2026)

Bridging Vision and Language: Optimal Transport-Driven Radiology Report Generation via LLMs
by: Zhao, Haifeng, et al.
Published: (2025)