BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Ubaldi L, Valenti V, Borgese RF, Collura G, Fantacci ME, Ferrera G, Iacoviello G, Abbate BF, Laruina F, Tripoli A, Retico A, Marrale M. Strategies to develop radiomics and machine learning models for lung cancer stage and histology prediction using small data samples. Phys Med 2021;90:13-22. [PMID: 34521016 DOI: 10.1016/j.ejmp.2021.08.015] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Dong Y, Zhang Q, Chen H, Jin Y, Ji Z, Han H, Wang W. Radiomics of Multi-modality Ultrasound in Rabbit VX2 Liver Tumors: Differentiating Residual Tumors from Hyperemic Rim After Ablation. J Med Biol Eng 2022. [DOI: 10.1007/s40846-022-00763-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Li Y, Wang Y, Fang K, Zheng H, Lai Q, Xia Y, Chen J, Dai Z. Automated meniscus segmentation and tear detection of knee MRI with a 3D mask-RCNN. Eur J Med Res 2022;27:247. [DOI: 10.1186/s40001-022-00883-w] [Reference Citation Analysis]
3 Cuccia F, Carruba G, Ferrera G. What We Talk about When We Talk about Artificial Intelligence in Radiation Oncology. JPM 2022;12:1834. [DOI: 10.3390/jpm12111834] [Reference Citation Analysis]
4 Gu C, Dai C, Shi X, Wu Z, Chen C. A cloud-based deep learning model in heterogeneous data integration system for lung cancer detection in medical industry 4.0. Journal of Industrial Information Integration 2022;30:100386. [DOI: 10.1016/j.jii.2022.100386] [Reference Citation Analysis]
5 Miao S, Jia H, Cheng K, Hu X, Li J, Huang W, Wang R. Deep learning radiomics under multimodality explore association between muscle/fat and metastasis and survival in breast cancer patients. Brief Bioinform 2022:bbac432. [PMID: 36198668 DOI: 10.1093/bib/bbac432] [Reference Citation Analysis]
6 Braghetto A, Marturano F, Paiusco M, Baiesi M, Bettinelli A. Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset. Sci Rep 2022;12. [DOI: 10.1038/s41598-022-18085-z] [Reference Citation Analysis]
7 Ieko Y, Kadoya N, Sugai Y, Mouri S, Umeda M, Tanaka S, Kanai T, Ichiji K, Yamamoto T, Ariga H, Jingu K. Assessment of a computed tomography-based radiomics approach for assessing lung function in lung cancer patients. Phys Med 2022;101:28-35. [PMID: 35872396 DOI: 10.1016/j.ejmp.2022.07.003] [Reference Citation Analysis]
8 Li J, Zhu Y, Dong Z, He X, Xu M, Liu J, Zhang M, Tao X, Du H, Chen D, Huang L, Shang R, Zhang L, Luo R, Zhou W, Deng Y, Huang X, Li Y, Chen B, Gong R, Zhang C, Li X, Wu L, Yu H. Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study. eClinicalMedicine 2022;46:101366. [DOI: 10.1016/j.eclinm.2022.101366] [Reference Citation Analysis]
9 Wang Y, Li Y, Huang M, Lai Q, Huang J, Chen J, Tang M. Feasibility of Constructing an Automatic Meniscus Injury Detection Model Based on Dual-Mode Magnetic Resonance Imaging (MRI) Radiomics of the Knee Joint. Computational and Mathematical Methods in Medicine 2022;2022:1-13. [DOI: 10.1155/2022/2155132] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 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]