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Cited by in F6Publishing
For: Liu X, Li KW, Yang R, Geng LS. Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy. Front Oncol 2021;11:717039. [PMID: 34336704 DOI: 10.3389/fonc.2021.717039] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Yang C, Qin L, Xie Y, Liao J. Deep learning in CT image segmentation of cervical cancer: a systematic review and meta-analysis. Radiat Oncol 2022;17:175. [DOI: 10.1186/s13014-022-02148-6] [Reference Citation Analysis]
2 Koh DM, Papanikolaou N, Bick U, Illing R, Kahn CE Jr, Kalpathi-Cramer J, Matos C, Martí-Bonmatí L, Miles A, Mun SK, Napel S, Rockall A, Sala E, Strickland N, Prior F. Artificial intelligence and machine learning in cancer imaging. Commun Med (Lond) 2022;2:133. [PMID: 36310650 DOI: 10.1038/s43856-022-00199-0] [Reference Citation Analysis]
3 Sun S, Ren L, Miao Z, Hua L, Wang D, Deng J, Chen J, Liu N, Gong Y. Application of MRI-Based Radiomics in Preoperative Prediction of NF2 Alteration in Intracranial Meningiomas. Front Oncol 2022;12:879528. [DOI: 10.3389/fonc.2022.879528] [Reference Citation Analysis]
4 O’shea RJ, Horst C, Manickavasagar T, Hughes D, Cusack J, Tsoka S, Cook G, Goh V. Weakly supervised Unet: an image classifier which learns to explain itself.. [DOI: 10.1101/2022.09.09.507144] [Reference Citation Analysis]
5 Hallinan JTPD, Zhu L, Zhang W, Kuah T, Lim DSW, Low XZ, Cheng AJL, Eide SE, Ong HY, Muhamat Nor FE, Alsooreti AM, Almuhaish MI, Yeong KY, Teo EC, Barr Kumarakulasinghe N, Yap QV, Chan YH, Lin S, Tan JH, Kumar N, Vellayappan BA, Ooi BC, Quek ST, Makmur A. Deep Learning Model for Grading Metastatic Epidural Spinal Cord Compression on Staging CT. Cancers 2022;14:3219. [DOI: 10.3390/cancers14133219] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Hallinan JTPD, Zhu L, Zhang W, Lim DSW, Baskar S, Low XZ, Yeong KY, Teo EC, Kumarakulasinghe NB, Yap QV, Chan YH, Lin S, Tan JH, Kumar N, Vellayappan BA, Ooi BC, Quek ST, Makmur A. Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI. Front Oncol 2022;12:849447. [PMID: 35600347 DOI: 10.3389/fonc.2022.849447] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
7 Santoro M, Strolin S, Paolani G, Della Gala G, Bartoloni A, Giacometti C, Ammendolia I, Morganti AG, Strigari L. Recent Applications of Artificial Intelligence in Radiotherapy: Where We Are and Beyond. Applied Sciences 2022;12:3223. [DOI: 10.3390/app12073223] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Przelaskowski A, Jasionowska-skop M, Ostrek G. Semantic Segmentation of Abnormal Lung Areas on Chest X-rays to Detect COVID-19. Advances in Intelligent Systems and Computing 2022. [DOI: 10.1007/978-3-031-09135-3_21] [Reference Citation Analysis]
9 Liu Y, Chen Z, Wang J, Wang X, Qu B, Ma L, Zhao W, Zhang G, Xu S. Dose Prediction Using a Three-Dimensional Convolutional Neural Network for Nasopharyngeal Carcinoma With Tomotherapy. Front Oncol 2021;11:752007. [PMID: 34858825 DOI: 10.3389/fonc.2021.752007] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Nurhopipah A, Murdiyanto AW, Astuti T. A Pair of Inception Blocks in U-Net Architecture for Lung Segmentation. 2021 IEEE 5th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) 2021. [DOI: 10.1109/icitisee53823.2021.9655804] [Reference Citation Analysis]