For: | Yakar M, Etiz D. Artificial intelligence in radiation oncology. Artif Intell Med Imaging 2021; 2(2): 13-31 [DOI: 10.35711/aimi.v2.i2.13] |
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URL: | https://www.wjgnet.com/2644-3260/full/v2/i2/13.htm |
Number | Citing Articles |
1 |
Emmanuel Fiagbedzi, Francis Hasford, Samuel Nii Tagoe. The influence of artificial intelligence on the work of the medical physicist in radiotherapy practice: a short review. BJR|Open 2023; 5(1) doi: 10.1259/bjro.20230003
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2 |
Ankur Biswas, Santi P. Maity, Rita Banik, P. Bhattacharya, Jhunu Debbarma. GAN-Driven Liver Tumor Segmentation: Enhancing Accuracy in Biomedical Imaging. SN Computer Science 2024; 5(5) doi: 10.1007/s42979-024-02991-2
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3 |
Nandan M Shanbhag, Abdulrahman Bin Sumaida, Theresa Binz, Syed Mansoor Hasnain, Omran El-Koha, Khalifa Al Kaabi, Mohammad Saleh, Khaled Al Qawasmeh, Khalid Balaraj. Integrating Artificial Intelligence Into Radiation Oncology: Can Humans Spot AI?. Cureus 2023; doi: 10.7759/cureus.50486
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4 |
Harshal A. Sanghvi, Divya Gangwani, Ali A. Mohamed, Pranshav Gajjar, Om Patel, Abhijit S. Pandya. . Advances in Computers 2024; doi: 10.1016/bs.adcom.2024.07.004
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5 |
Linda Ding, Carla D. Bradford, Kenneth Ulin, Koren Smith, I-Lin Kuo, Yankhua Fan, Abdulnasser Khalifeh, Fenghong Liu, Suhong Lu, Harry Bushe, Salvatore Larosa, Camelia Bunaciu, Jonathan Saleeby, Shannon Higgins, Julie Trifone, Maureen Britton, Joshua Taylor, Marious Croos, Katie Figura, Thomas Quinn, Linda O’Connor, Kathleen Briggs, Sherri Suhl, Jean Quigley, Heather Reifler, Shawn Kirby, Fred Prior, Joel Saltz, Maryann Bishop-Jodoin, Thomas J. FitzGerald. Dosimetry. 2022; doi: 10.5772/intechopen.105910
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