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Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
26 April 2020
Baoyu Jing
Zeya Wang
Eric Xing
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Papers citing
"Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports"
50 / 57 papers shown
SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge Semantics
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Automated Structured Radiology Report Generation with Rich Clinical Context
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Lesion-Aware Visual-Language Fusion for Automated Image Captioning of Ulcerative Colitis Endoscopic Examinations
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MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
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253
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LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning
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RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
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353
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FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Asian Conference on Computer Vision (ACCV), 2024
Trong-Thang Pham
Ngoc-Vuong Ho
Nhat-Tan Bui
T. Phan
Patel Brijesh
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Carol C. Wu
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398
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See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
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3DV
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Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey
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CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
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Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation
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287
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Intensive Vision-guided Network for Radiology Report Generation
Physics in Medicine and Biology (PMB), 2023
Fudan Zheng
Mengfei Li
Ying Wang
Weijiang Yu
Ruixuan Wang
Zhiguang Chen
Nong Xiao
Yutong Lu
368
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06 Feb 2024
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu
Yuanhe Tian
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373
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C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network
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Thomas Lukasiewicz
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240
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IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
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216
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Reading Radiology Imaging Like The Radiologist
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383
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Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports
Qingqing Zhu
T. Mathai
P. Mukherjee
Yifan Peng
Ronald M. Summers
Zhiyong Lu
263
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14 Jun 2023
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark
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298
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Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives
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232
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Token Imbalance Adaptation for Radiology Report Generation
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241
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18 Apr 2023
Interactive and Explainable Region-guided Radiology Report Generation
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Tim Tanida
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305
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17 Apr 2023
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation
IEEE International Conference on Computer Vision (ICCV), 2023
Yaowei Li
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Yuexian Zou
622
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28 Mar 2023
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation
British Machine Vision Conference (BMVC), 2022
Otabek Nazarov
Mohammad Yaqub
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229
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Lesion Guided Explainable Few Weak-shot Medical Report Generation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
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CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
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252
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RepsNet: Combining Vision with Language for Automated Medical Reports
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Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
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William K. Cheung
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326
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Competence-based Multimodal Curriculum Learning for Medical Report Generation
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A Self-Guided Framework for Radiology Report Generation
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221
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Cross-modal Memory Networks for Radiology Report Generation
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374
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AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation
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Xiaoxia Xie
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370
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Improving Chest X-Ray Report Generation by Leveraging Warm Starting
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Prior Knowledge Enhances Radiology Report Generation
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Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
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Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
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349
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Generating Radiology Reports via Memory-driven Transformer
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