Personal profile
Education/Academic qualification
MBBS, University of Cairo Medical School - Cairo
… → 2014
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Dive into the research topics where Mohamed Qayati Mohamed is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients
Salehjahromi, M., Li, H., Showkatian, E., Saad, M. B., Qayati, M., Ismail, S. M., Sujit, S. J., Muneer, A., Aminu, M., Hong, L., Han, X., Heeke, S., Cascone, T., Le, X., Vokes, N., Gibbons, D. L., Toumazis, I., Ostrin, E. J., Antonoff, M. B. & Vaporciyan, A. A. & 10 others, , Nov 2025, In: Cancers. 17, 21, 3406.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights
Sujit, S. J., Aminu, M., Karpinets, T. V., Chen, P., Saad, M. B., Salehjahromi, M., Boom, J. D., Qayati, M., George, J. M., Allen, H., Antonoff, M. B., Hong, L., Hu, X., Heeke, S., Tran, H. T., Le, X., Elamin, Y. Y., Altan, M., Vokes, N. I. & Sheshadri, A. & 17 others, , Dec 2024, In: Nature communications. 15, 1, 3152.Research output: Contribution to journal › Article › peer-review
Open Access75 Link opens in a new tab Scopus citations -
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept
Salehjahromi, M., Karpinets, T. V., Sujit, S. J., Qayati, M., Chen, P., Aminu, M., Saad, M. B., Bandyopadhyay, R., Hong, L., Sheshadri, A., Lin, J., Antonoff, M. B., Sepesi, B., Ostrin, E. J., Toumazis, I., Huang, P., Cheng, C., Cascone, T., Vokes, N. I. & Behrens, C. & 17 others, , Mar 19 2024, In: Cell Reports Medicine. 5, 3, 101463.Research output: Contribution to journal › Article › peer-review
Open Access27 Link opens in a new tab Scopus citations -
Author Correction: Federated learning enables big data for rare cancer boundary detection (Nature Communications, (2022), 13, 1, (7346), 10.1038/s41467-022-33407-5)
Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S. H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K. & Zenk, M. & 259 others, , Dec 2023, In: Nature communications. 14, 1, 436.Research output: Contribution to journal › Comment/debate › peer-review
Open Access3 Link opens in a new tab Scopus citations -
NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinics
Abayazeed, A. H., Abbassy, A., Müeller, M., Hill, M., Qayati, M., Mohamed, S., Mekhaimar, M., Raymond, C., Dubey, P., Nael, K., Rohatgi, S., Kapare, V., Kulkarni, A., Shiang, T., Kumar, A., Andratschke, N., Willmann, J., Brawanski, A., De Jesus, R. & Tuna, I. & 4 others, , Jan 1 2023, In: Neuro-Oncology Advances. 5, 1, vdac184.Research output: Contribution to journal › Article › peer-review
Open Access25 Link opens in a new tab Scopus citations