Shang, C.Z.[Cao-Zhi],
Cui, S.G.[Shao-Guo],
Li, T.S.[Tian-Song],
Wang, X.[Xi],
Li, Y.M.[Yong-Mei],
Jiang, J.F.[Jing-Feng],
MATNet: Exploiting Multi-Modal Features for Radiology Report
Generation,
SPLetters(29), 2022, pp. 2692-2696.
IEEE DOI
2301
Diseases, Transformers, Decoding, Visualization, Feature extraction,
Radiology, MIMICs, Radiology report generation, medical image processing
BibRef
Wang, Z.Y.[Zhan-Yu],
Han, H.W.[Hong-Wei],
Wang, L.[Lei],
Li, X.[Xiu],
Zhou, L.P.[Lu-Ping],
Automated Radiographic Report Generation Purely on Transformer:
A Multicriteria Supervised Approach,
MedImg(41), No. 10, October 2022, pp. 2803-2813.
IEEE DOI
2210
Transformers, Visualization, Medical diagnostic imaging,
Feature extraction, Task analysis, Decoding, Training, image-text matching
BibRef
Yan, S.[Sixing],
Cheung, W.K.[William K.],
Chiu, K.[Keith],
Tong, T.M.[Terence M.],
Cheung, K.C.[Ka Chun],
See, S.[Simon],
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray
Report Generation,
MedImg(42), No. 8, August 2023, pp. 2211-2222.
IEEE DOI
2308
Visualization, Radiology, Lung, X-ray imaging, Biomedical imaging,
Annotations, Feature extraction, Medical report generation, clinical accuracy
BibRef
Liu, Z.Z.[Zhi-Zhe],
Zhu, Z.F.[Zhen-Feng],
Zheng, S.[Shuai],
Zhao, Y.[Yawei],
He, K.L.[Kun-Lun],
Zhao, Y.[Yao],
From Observation to Concept: A Flexible Multi-View Paradigm for
Medical Report Generation,
MultMed(26), 2024, pp. 5987-5995.
IEEE DOI
2404
Diseases, Medical diagnostic imaging, Visualization, Decoding, Lung,
Semantics, Radiology, Medical report generation, image captioning,
multi-view knowledge
BibRef
Zhang, W.F.[Wen-Feng],
Cai, B.[Baoning],
Hu, J.M.[Jian-Ming],
Qin, Q.[Qibing],
Xie, K.Z.[Ke-Zhen],
Visual-Textual Cross-Modal Interaction Network for Radiology Report
Generation,
SPLetters(31), 2024, pp. 984-988.
IEEE DOI
2404
Radiology, Visualization, Training, Clinical diagnosis,
Task analysis, Feature extraction, Generators, radiology report generation
BibRef
Zhang, K.[Ke],
Yang, Y.[Yan],
Yu, J.[Jun],
Fan, J.P.[Jian-Ping],
Jiang, H.[Hanliang],
Huang, Q.M.[Qing-Ming],
Han, W.D.[Wei-Dong],
Attribute Prototype-Guided Iterative Scene Graph for Explainable
Radiology Report Generation,
MedImg(43), No. 12, December 2024, pp. 4470-4482.
IEEE DOI
2412
Semantics, Prototypes, Biomedical imaging, Lung, Cognition, Iterative methods,
Visualization, Radiology report generation, interpretability
BibRef
Li, S.Y.[Shi-Yu],
Qiao, P.[Pengchong],
Wang, L.[Lin],
Ning, M.[Munan],
Yuan, L.[Li],
Zheng, Y.F.[Ye-Feng],
Chen, J.[Jie],
An Organ-Aware Diagnosis Framework for Radiology Report Generation,
MedImg(43), No. 12, December 2024, pp. 4253-4265.
IEEE DOI
2412
Radiology, Task analysis, Medical diagnostic imaging, Lung, Decoding,
Visualization, Training, Medical report generation, chest X-ray,
organ-aware learning
BibRef
Wang, S.[Sheng],
Zhao, Z.[Zihao],
Zhuang, Z.X.[Zi-Xu],
Ouyang, X.[Xi],
Zhang, L.[Lichi],
Li, Z.[Zheren],
Ma, C.[Chong],
Liu, T.M.[Tian-Ming],
Shen, D.G.[Ding-Gang],
Wang, Q.[Qian],
Learning better contrastive view from radiologist's gaze,
PR(162), 2025, pp. 111350.
Elsevier DOI
2503
Contrastive learning, Eye-tracking, Human visual attention
BibRef
Yi, X.L.[Xiu-Long],
Fu, Y.[You],
Yu, J.Z.[Jian-Zhi],
Liu, R.Q.[Rui-Qing],
Zhang, H.[Hao],
Hua, R.[Rong],
LHR-RFL: Linear Hybrid-Reward-Based Reinforced Focal Learning for
Automatic Radiology Report Generation,
MedImg(44), No. 3, March 2025, pp. 1494-1504.
IEEE DOI Code:
WWW Link.
2503
Radiology, Measurement, Computational modeling, Transformers,
Training, Long short term memory, Natural language generation,
computer-aided diagnosis
BibRef
Yang, Z.[Zhuoyi],
Shen, L.[Liyue],
TempA-VLP: Temporal-Aware Vision-Language Pretraining for
Longitudinal Exploration in Chest X-Ray Image,
WACV25(4625-4634)
IEEE DOI
2505
Representation learning, Accuracy, Limiting, Grounding, Planning,
Lesions, X-ray imaging, Standards, Biomedical imaging, Diseases,
vision language pretraining
BibRef
Pham, T.T.[Trong Thang],
Nguyen, T.P.[Tien-Phat],
Ikebe, Y.[Yuki],
Awasthi, A.[Akash],
Deng, Z.G.[Zhi-Gang],
Wu, C.C.[Carol C.],
Nguyen, H.[Hien],
Le, N.[Ngan],
GazeSearch: Radiology Findings Search Benchmark,
WACV25(96-106)
IEEE DOI Code:
WWW Link.
2505
Training, Visualization, Gaze tracking, Transforms, Benchmark testing,
Radiology, Feature extraction, Search problems, visual search
BibRef
Chen, W.X.[Wei-Xing],
Liu, Y.[Yang],
Wang, C.[Ce],
Zhu, J.R.[Jia-Rui],
Li, G.B.[Guan-Bin],
Liu, C.L.[Cheng-Lin],
Lin, L.[Liang],
Cross-Modal Causal Representation Learning for Radiology Report
Generation,
IP(34), 2025, pp. 2970-2985.
IEEE DOI Code:
WWW Link.
2505
Visualization, Linguistics, Radiology, Heart, Training, Correlation,
Feature extraction, Lesions, Accuracy, Lungs,
visual-language pre-training
BibRef
Zhao, M.[Meng],
Liu, J.[Juncai],
Shen, H.Y.[Hong-Yu],
Yan, B.[Bin],
Pei, M.T.[Ming-Tao],
Wang, Y.[Yi],
Integrating clinical knowledge and imaging for medical report
generation,
PRL(195), 2025, pp. 59-65.
Elsevier DOI
2506
Clinical knowledge graph, Graph attention, Radiology reports generation
BibRef
Yang, Y.[Yan],
You, X.X.[Xiao-Xing],
Zhang, K.[Ke],
Fu, Z.Q.[Zhen-Qi],
Wang, X.Y.[Xian-Yun],
Ding, J.J.[Jia-Jun],
Sun, J.[Jiamei],
Yu, Z.[Zhou],
Huang, Q.M.[Qing-Ming],
Han, W.D.[Wei-Dong],
Yu, J.[Jun],
Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray
Report Generation,
MedImg(44), No. 7, July 2025, pp. 2892-2905.
IEEE DOI Code:
WWW Link.
2507
Visualization, Semantics, X-ray imaging, Streaming media,
Retrieval augmented generation, Medical diagnostic imaging,
large language models
BibRef
Izhar, A.[Amaan],
Idris, N.[Norisma],
Japar, N.[Nurul],
Enhancing radiology report generation: A prior knowledge-aware
transformer network for effective alignment and fusion of multi-modal
radiological data,
IVC(161), 2025, pp. 105603.
Elsevier DOI
2509
Radiology report generation, Deep learning, Transformer,
Contextual biomedical entity, Auxiliary medical knowledge, Multi-modal fusion
BibRef
Mei, X.[Xin],
Yang, L.[Libin],
Gao, D.H.[De-Hong],
Cai, X.Y.[Xiao-Yan],
Han, J.W.[Jun-Wei],
Liu, T.M.[Tian-Ming],
Adaptive Medical Topic Learning for Enhanced Fine-Grained Cross-Modal
Alignment in Medical Report Generation,
MultMed(27), 2025, pp. 5050-5061.
IEEE DOI
2509
Medical diagnostic imaging, Feature extraction, Visualization,
Decoding, Diseases, Adaptation models, Semantics, X-ray imaging,
medical report generation
BibRef
Pulari, S.R.[Sini Raj],
Umadevi, M.[Maramreddy],
Vasudevan, S.K.[Shriram K.],
Optimizing multimodal personalized disease prediction accuracy using
generated prompts and large language models,
IVC(161), 2025, pp. 105649.
Elsevier DOI
2509
LLMs, LLMs for disease prediction, AI for medicine,
Clinical reports, Prompt engineering, Healthcare
BibRef
Heiman, A.[Alice],
Zhang, X.M.[Xiao-Man],
Chen, E.[Emma],
Kim, S.E.[Sung Eun],
Rajpurkar, P.[Pranav],
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray
Report Generation Models,
CVPR25(30787-30796)
IEEE DOI Code:
WWW Link.
2508
Codes, Large language models, Measurement uncertainty, Pipelines,
MIMICs, Radiology, Reliability, X-ray imaging
BibRef
Wang, X.[Xiao],
Wang, F.[Fuling],
Li, Y.H.[Yue-Hang],
Ma, Q.[Qingchuan],
Wang, S.[Shiao],
Jiang, B.[Bo],
Tang, J.[Jin],
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report
Generation on CheXpert Plus Dataset,
CVPR25(5123-5133)
IEEE DOI Code:
WWW Link.
2508
Training, Solid modeling, Large language models, Source coding,
MIMICs, Contrastive learning, Benchmark testing, Solids,
x-ray medical report generation
BibRef
Liu, K.[Kang],
Ma, Z.Q.[Zhuo-Qi],
Kang, X.L.[Xiao-Lu],
Li, Y.[Yunan],
Xie, K.[Kun],
Jiao, Z.C.[Zhi-Cheng],
Miao, Q.G.[Qi-Guang],
Enhanced Contrastive Learning with Multi-view Longitudinal Data for
Chest X-ray Report Generation,
CVPR25(10348-10359)
IEEE DOI
2508
Visualization, Accuracy, MIMICs, Contrastive learning, Radiology,
Feature extraction, Spatiotemporal phenomena, X-ray imaging,
patient-specific prior knowledge
BibRef
Gu, T.C.[Tian-Cheng],
Yang, K.C.[Kai-Cheng],
An, X.[Xiang],
Feng, Z.Y.[Zi-Yong],
Lin, D.N.[Dong-Nan],
Cai, W.D.[Wei-Dong],
ORID: Organ-Regional Information Driven Framework for Radiology
Report Generation,
WACV25(378-387)
IEEE DOI
2505
Measurement, Accuracy, Noise, Radiology, Benchmark testing,
Graph neural networks, Diseases, radiology report generation, LLM, GNN
BibRef
Sultana, J.[Jamalia],
Qin, R.[Ruwen],
Yin, Z.Z.[Zhao-Zheng],
Seeing Through Expert's Eyes: Leveraging Radiologist Eye Gaze and
Speech Report with Graph Neural Networks for Chest X-ray Image
Classification,
ACCV24(II: 142-158).
Springer DOI
2412
BibRef
Chen, Q.[Qi],
Xie, Y.T.[Yu-Tong],
Wu, B.[Biao],
Chen, X.M.[Xiao-Min],
Ang, J.[James],
To, M.S.[Minh-Son],
Chang, X.J.[Xiao-Jun],
Wu, Q.[Qi],
Act Like a Radiologist: Radiology Report Generation Across Anatomical
Regions,
ACCV24(VI: 36-52).
Springer DOI
2412
BibRef
Pham, T.T.[Trong Thang],
Ho, N.V.[Ngoc-Vuong],
Bui, N.T.[Nhat-Tan],
Phan, T.[Thinh],
Brijesh, P.[Patel],
Adjeroh, D.[Donald],
Doretto, G.[Gianfranco],
Nguyen, A.[Anh],
Wu, C.C.[Carol C.],
Nguyen, H.[Hien],
Le, N.[Ngan],
FG-CXR: A Radiologist-aligned Gaze Dataset for Enhancing
Interpretability in Chest X-ray Report Generation,
ACCV24(VI: 71-88).
Springer DOI
2412
BibRef
Li, M.J.[Ming-Jie],
Lin, H.[Haokun],
Qiu, L.[Liang],
Liang, X.D.[Xiao-Dan],
Chen, L.[Ling],
Elsaddik, A.[Abdulmotaleb],
Chang, X.J.[Xiao-Jun],
Contrastive Learning with Counterfactual Explanations for Radiology
Report Generation,
ECCV24(XLIII: 162-180).
Springer DOI
2412
BibRef
Wang, F.[Fuying],
Du, S.H.[Sheng-Hui],
Yu, L.Q.[Le-Quan],
Hergen: Elevating Radiology Report Generation with Longitudinal Data,
ECCV24(LV: 183-200).
Springer DOI
2412
BibRef
Bu, S.S.[Shen-Shen],
Li, T.[Taiji],
Yang, Y.D.[Yue-Dong],
Dai, Z.M.[Zhi-Ming],
Instance-level Expert Knowledge and Aggregate Discriminative
Attention for Radiology Report Generation,
CVPR24(14194-14204)
IEEE DOI Code:
WWW Link.
2410
Degradation, Training, Aggregates, Pulmonary diseases, MIMICs,
Medical services, Radiology
BibRef
Gu, T.C.[Tian-Cheng],
Liu, D.[Dongnan],
Li, Z.Y.[Zhi-Yuan],
Cai, W.D.[Wei-Dong],
Complex Organ Mask Guided Radiology Report Generation,
WACV24(7980-7989)
IEEE DOI Code:
WWW Link.
2404
Representation learning, Semantics, MIMICs, Lung, Radiology,
Streaming media, X-ray imaging, Applications,
Vision + language and/or other modalities
BibRef
Pham, T.T.[Trong Thang],
Brecheisen, J.[Jacob],
Nguyen, A.[Anh],
Nguyen, H.[Hien],
Le, N.[Ngan],
I-AI: A Controllable & Interpretable AI System for Decoding
Radiologists' Intense Focus for Accurate CXR Diagnoses,
WACV24(7835-7844)
IEEE DOI Code:
WWW Link.
2404
Heating systems, Pipelines, Closed box, Process control,
Machine learning, Feature extraction, Decoding, Applications,
ethical computer vision
BibRef
Li, Y.W.[Yao-Wei],
Yang, B.[Bang],
Cheng, X.[Xuxin],
Zhu, Z.H.[Zhi-Hong],
Li, H.X.[Hong-Xiang],
Zou, Y.X.[Yue-Xian],
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology
Report Generation,
ICCV23(2851-2862)
IEEE DOI
2401
BibRef
Wang, Y.H.[Yu-Hao],
Wang, K.[Kai],
Liu, X.H.[Xiao-Hong],
Gao, T.R.[Tian-Run],
Zhang, J.[Jingyue],
Wang, G.Y.[Guang-Yu],
Self Adaptive Global-Local Feature Enhancement for Radiology Report
Generation,
ICIP23(2275-2279)
IEEE DOI
2312
BibRef
Wang, Z.Y.[Zhan-Yu],
Liu, L.Q.[Ling-Qiao],
Wang, L.[Lei],
Zhou, L.P.[Lu-Ping],
METransformer: Radiology Report Generation by Transformer with
Multiple Learnable Expert Tokens,
CVPR23(11558-11567)
IEEE DOI
2309
BibRef
Huang, Z.Z.[Zhong-Zhen],
Zhang, X.F.[Xiao-Fan],
Zhang, S.T.[Shao-Ting],
KiUT: Knowledge-injected U-Transformer for Radiology Report
Generation,
CVPR23(19809-19818)
IEEE DOI
2309
BibRef
Li, M.J.[Ming-Jie],
Lin, B.Q.[Bing-Qian],
Chen, Z.C.[Zi-Cong],
Lin, H.K.[Hao-Kun],
Liang, X.D.[Xiao-Dan],
Chang, X.J.[Xiao-Jun],
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report
Generation,
CVPR23(3334-3343)
IEEE DOI
2309
BibRef
Tanida, T.[Tim],
Müller, P.[Philip],
Kaissis, G.[Georgios],
Rueckert, D.[Daniel],
Interactive and Explainable Region-guided Radiology Report Generation,
CVPR23(7433-7442)
IEEE DOI
2309
BibRef
Wang, J.[Jun],
Bhalerao, A.[Abhir],
He, Y.L.[Yu-Lan],
Cross-Modal Prototype Driven Network for Radiology Report Generation,
ECCV22(XXXV:563-579).
Springer DOI
2211
BibRef
Wang, Z.Y.[Zhan-Yu],
Zhou, L.P.[Lu-Ping],
Wang, L.[Lei],
Li, X.[Xiu],
A Self-boosting Framework for Automated Radiographic Report
Generation,
CVPR21(2433-2442)
IEEE DOI
2111
Couplings, Bridges, Visualization,
Task analysis, Diagnostic radiography
BibRef
Liu, F.L.[Feng-Lin],
Wu, X.[Xian],
Ge, S.[Shen],
Fan, W.[Wei],
Zou, Y.X.[Yue-Xian],
Exploring and Distilling Posterior and Prior Knowledge for Radiology
Report Generation,
CVPR21(13748-13757)
IEEE DOI
2111
Visualization, MIMICs, Neural networks, Radiology,
Writing
BibRef
Srinivasan, P.[Preethi],
Thapar, D.[Daksh],
Bhavsar, A.[Arnav],
Nigam, A.[Aditya],
Hierarchical X-ray Report Generation via Pathology Tags and Multi Head
Attention,
ACCV20(V:600-616).
Springer DOI
2103
BibRef
Ramos, J.[José],
Kockelkorn, T.[Thessa],
van Ginneken, B.[Bram],
Viergever, M.A.[Max A.],
Ramos, R.[Rui],
Campilho, A.[Aurélio],
Supervised Content Based Image Retrieval Using Radiology Reports,
ICIAR12(II: 249-258).
Springer DOI
1206
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Radiotherapy, Radiation Therapy, Radiotherapy Planning, X-Ray Images .