Imagen de Portada

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Salmè, Marco, Siciliano, Federico, Silvestri, Fabrizio, Soda, Paolo, Sicilia, Rosa, Guarrasi, Valerio
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains
por: Salmè, Marco, et al.
Publicado: (2025)

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
por: Molino, Daniele, et al.
Publicado: (2025)

Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes
por: Guarrasi, Valerio, et al.
Publicado: (2022)

Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection
por: Francesconi, Arianna, et al.
Publicado: (2024)

Resilient Vision-Tabular Multimodal Learning under Modality Missingness
por: Caruso, Camillo Maria, et al.
Publicado: (2026)

Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation
por: Tronchin, Lorenzo, et al.
Publicado: (2025)

A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
por: Pesci, Alessandro, et al.
Publicado: (2026)

Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer
por: Caragliano, Alice Natalina, et al.
Publicado: (2026)

Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging
por: Guarrasi, Valerio, et al.
Publicado: (2025)

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation
por: Molino, Daniele, et al.
Publicado: (2026)

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
por: Iele, Irene, et al.
Publicado: (2025)

Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence
por: Rofena, Aurora, et al.
Publicado: (2025)

Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining
por: Molino, Daniele, et al.
Publicado: (2025)

Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
por: Rofena, Aurora, et al.
Publicado: (2025)

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models
por: Alam, Hasan Md Tusfiqur, et al.
Publicado: (2025)

Multi-Scale Texture Loss for CT denoising with GANs
por: Di Feola, Francesco, et al.
Publicado: (2024)

Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging
por: Ruffini, Filippo, et al.
Publicado: (2025)

Texture-Aware StarGAN for CT data harmonisation
por: Di Feola, Francesco, et al.
Publicado: (2025)

Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
por: Ayllón, Elena Mulero, et al.
Publicado: (2025)

Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG
por: Alam, Hasan Md Tusfiqur, et al.
Publicado: (2024)

A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography
por: Rofena, Aurora, et al.
Publicado: (2023)

Longitudinal NSCLC Treatment Progression via Multimodal Generative Models
por: Mantegna, Massimiliano, et al.
Publicado: (2026)

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
por: Ruffini, Filippo, et al.
Publicado: (2024)

Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering
por: Xue, Junxiao, et al.
Publicado: (2024)

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
por: Xing, Qilong, et al.
Publicado: (2025)

Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
por: Caragliano, Alice Natalina, et al.
Publicado: (2026)

Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
por: Caragliano, Alice Natalina, et al.
Publicado: (2025)

Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET
por: Aksu, Fatih, et al.
Publicado: (2026)

LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation
por: Song, Steven, et al.
Publicado: (2024)

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

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

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

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

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

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

An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation
por: Abdulaal, Ahmed, et al.
Publicado: (2024)

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

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