Copertina

CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Jun, Bhalerao, Abhir, Yin, Terry, See, Simon, He, Yulan
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Scene Graph Aided Radiology Report Generation
di: Wang, Jun, et al.
Pubblicazione: (2024)

Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration
di: Wang, Jun, et al.
Pubblicazione: (2025)

Lane Change Classification and Prediction with Action Recognition Networks
di: Liang, Kai, et al.
Pubblicazione: (2022)

COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding
di: Wei, Wenbo, et al.
Pubblicazione: (2024)

Radiology Report Generation with Layer-Wise Anatomical Attention
di: Muñiz-De-León, Emmanuel D., et al.
Pubblicazione: (2025)

Anatomical Attention Alignment representation for Radiology Report Generation
di: Nguyen, Quang Vinh, et al.
Pubblicazione: (2025)

Intensive Vision-guided Network for Radiology Report Generation
di: Zheng, Fudan, et al.
Pubblicazione: (2024)

DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps
di: Zhu, Hongjie, et al.
Pubblicazione: (2025)

Metric-Guided Synthesis of Class Activation Mapping
di: Luque-Cerpa, Alejandro, et al.
Pubblicazione: (2025)

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

Semantically Informed Salient Regions Guided Radiology Report Generation
di: Hou, Zeyi, et al.
Pubblicazione: (2025)

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
di: Liu, Tengfei, et al.
Pubblicazione: (2024)

HERGen: Elevating Radiology Report Generation with Longitudinal Data
di: Wang, Fuying, et al.
Pubblicazione: (2024)

A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation
di: Jin, Haibo, et al.
Pubblicazione: (2025)

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
di: Lai, Haoran, et al.
Pubblicazione: (2024)

StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images
di: Jewsbury, Robert, et al.
Pubblicazione: (2024)

Localized Region Guidance for Class Activation Mapping in WSSS
di: Torabi, Ali, et al.
Pubblicazione: (2025)

CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation
di: Kalisch, Hamza, et al.
Pubblicazione: (2025)

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

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

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

Multi-view Feature Augmentation with Adaptive Class Activation Mapping
di: Gao, Xiang, et al.
Pubblicazione: (2022)

MAIRA-2: Grounded Radiology Report Generation
di: Bannur, Shruthi, et al.
Pubblicazione: (2024)

S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework
di: Li, Yingshu, et al.
Pubblicazione: (2025)

Improving Medical Visual Representations via Radiology Report Generation
di: Quigley, Keegan, et al.
Pubblicazione: (2023)

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation
di: Sukjai, Pimchanok, et al.
Pubblicazione: (2025)

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

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation
di: Fu, Rong, et al.
Pubblicazione: (2026)

Feature-based Graph Attention Networks Improve Online Continual Learning
di: Sim, Adjovi, et al.
Pubblicazione: (2025)

FITA: Fine-grained Image-Text Aligner for Radiology Report Generation
di: Yang, Honglong, et al.
Pubblicazione: (2024)

ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
di: Gu, Tiancheng, et al.
Pubblicazione: (2024)

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

Online Iterative Self-Alignment for Radiology Report Generation
di: Xiao, Ting, et al.
Pubblicazione: (2025)

A Review of Longitudinal Radiology Report Generation: Dataset Composition, Methods, and Performance Evaluation
di: Zhou, Shaoyang, et al.
Pubblicazione: (2025)

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
di: Wang, Xinyi, et al.
Pubblicazione: (2024)

Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation
di: Tao, Yitian, et al.
Pubblicazione: (2024)

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

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation
di: Chen, Yucheng, et al.
Pubblicazione: (2026)

Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report Generation
di: Han, Qianhao, et al.
Pubblicazione: (2024)

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