21.1.1.1 Medical Report Generation

Chapter Contents (Back)
Medical, Applications. Application, Medical. Medical Reports. Intended more for the report generation aspects than the analysis. A large subest:
See also Radiology Report Generation, X-Ray Images.

Zeng, X.H.[Xian-Hua], Huang, Z.Y.[Zheng-Yi], Xu, L.M.[Li-Ming], Xie, Y.[Yicai],
CP-GAN: Meet the high requirements of diagnose report to medical image by content preservation,
IET-IPR(16), No. 1, 2022, pp. 29-38.
DOI Link 2112
BibRef

Zhang, K.[Ke], Jiang, H.L.[Han-Liang], Zhang, J.[Jian], Huang, Q.M.[Qing-Ming], Fan, J.P.[Jian-Ping], Yu, J.[Jun], Han, W.D.[Wei-Dong],
Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency,
MultMed(26), 2024, pp. 904-915.
IEEE DOI 2402
Biomedical imaging, Pathology, Training, Semantics, Radiology, Diseases, Visualization, Knowledge graph, mean teacher, semi-supervised learning BibRef

Yang, Y.[Yan], Yu, J.[Jun], Fu, Z.Q.[Zhen-Qi], Zhang, K.[Ke], Yu, T.[Ting], Wang, X.Y.[Xian-Yun], Jiang, H.L.[Han-Liang], Lv, J.H.[Jun-Hui], Huang, Q.M.[Qing-Ming], Han, W.D.[Wei-Dong],
Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting,
MedImg(43), No. 11, November 2024, pp. 4017-4028.
IEEE DOI Code:
WWW Link. 2411
Decoding, Medical diagnostic imaging, Training, Visualization, Transformers, Task analysis, Medical image report generation, deep learning BibRef

Mei, X.[Xin], Yang, L.[Libin], Gao, D.[Denghong], Cai, X.Y.[Xiao-Yan], Han, J.W.[Jun-Wei], Liu, T.M.[Tian-Ming],
PhraseAug: An Augmented Medical Report Generation Model With Phrasebook,
MedImg(43), No. 12, December 2024, pp. 4211-4223.
IEEE DOI 2412
Medical diagnostic imaging, Feature extraction, Writing, Visualization, History, Diseases, Semantics, deep learning BibRef

Zhao, J.T.[Jun-Ting], Zhou, Y.[Yang], Chen, Z.H.[Zhi-Hao], Fu, H.Z.[Hua-Zhu], Wan, L.[Liang],
Topicwise Separable Sentence Retrieval for Medical Report Generation,
MedImg(44), No. 3, March 2025, pp. 1505-1517.
IEEE DOI Code:
WWW Link. 2503
Visualization, Medical diagnostic imaging, Training, Feature extraction, Semantics, Decoding, Transformers, Radiology, sentence retrieval BibRef

Ucan, M.[Murat], Kaya, B.[Buket], Kaya, M.[Mehmet],
Generating Medical Reports With a Novel Deep Learning Architecture,
IJIST(35), No. 2, 2025, pp. e70062.
DOI Link 2504
chest X-ray, ConvNeXtBase, deep learning, GRU, medical report generation, RNN BibRef

Sun, J.H.[Jing-Han], Wei, D.[Dong], Xu, Z.[Zhe], Lu, D.H.[Dong-Huan], Liu, H.[Hong], Wang, H.[Hong], Tsaftaris, S.A.[Sotirios A.], McDonagh, S.[Steven], Zheng, Y.F.[Ye-Feng], Wang, L.S.[Lian-Sheng],
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation,
MedImg(44), No. 4, April 2025, pp. 1671-1685.
IEEE DOI Code:
WWW Link. 2504
Biomedical imaging, Detectors, Feature extraction, Training, Generators, Radiology, Annotations, co-evolution BibRef


Ahsan, S.B.[Syed Bilal], Ikhalas, M.[Muhammad], Khan, M.M.[Muhammad Muzamil], Ullah, S.[Sana], Zaheer, M.Z.[Muhammad Zaigham],
ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation,
DomainFuture25(6526-6535)
IEEE DOI 2512
Training, Visualization, Accuracy, MIMICs, Image augmentation, Decoding, Reliability, Medical diagnostic imaging, Image classification BibRef

Hirsch, E.[Elad], Dawidowicz, G.[Gefen], Tal, A.[Ayellet],
Medrat: Unpaired Medical Report Generation via Auxiliary Tasks,
ECCV24(LXXI: 18-35).
Springer DOI 2412
BibRef

Cheng, P.[Pujin], Lin, L.[Li], Lyu, J.[Junyan], Huang, Y.J.[Yi-Jin], Luo, W.H.[Wen-Han], Tang, X.Y.[Xiao-Ying],
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports,
ICCV23(21304-21314)
IEEE DOI Code:
WWW Link. 2401
BibRef

Huang, J.H.[Jia-Hong], Yang, C.H.H.[C.H. Huck], Liu, F.Y.[Fang-Yu], Tian, M.[Meng], Liu, Y.C.[Yi-Chieh], Wu, T.W.[Ting-Wei], Lin, I.H.[I-Hung], Wang, K.[Kang], Morikawa, H.[Hiromasa], Chang, H.[Hernghua], Tegner, J.[Jesper], Worring, M.[Marcel],
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation,
WACV21(2441-2451)
IEEE DOI 2106
Visualization, Retina, Generators, Medical diagnostic imaging, Diseases BibRef

Pahwa, E.[Esha], Mehta, D.[Dwij], Kapadia, S.[Sanjeet], Jain, D.[Devansh], Luthra, A.[Achleshwar],
MedSkip: Medical Report Generation Using Skip Connections and Integrated Attention,
CVAMD21(3402-3408)
IEEE DOI 2112
Visualization, Pathology, Radiology, Transformers, Feature extraction BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Survival Analysis, Cancer Survival .


Last update:Dec 7, 2025 at 16:47:52