Grants per year
Personal profile
Training Experience
| 2008 | Postdoctoral Fellowship, University of Michigan |
| 2013 | Residency, Harvard Medical School |
Education/Academic qualification
MD, PhD, University of Michigan
… → 2008
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Dive into the research topics where Mohamed Abazeed 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Improving Immunotherapy for Lung Cancer
Avella Patino, D. M. & Abazeed, M.
Respiratory Health Association of Metropolitan Chicago
7/1/23 → 6/30/24
Project: Research project
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A biomarker-driven strategy to guide the use of radiotherapy in non-small cell lung cancer
6/1/23 → 5/31/25
Project: Research project
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Cellular plasticity gives rise to phenotypic equilibrium in small cell lung carcinoma
Abazeed, M., Abazeed, M., Kocherginsky, M., Kocherginsky, M., Patel, J. D. & Patel, J. D.
9/1/22 → 8/31/27
Project: Research project
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Dose prescription and reporting in stereotactic body radiotherapy: A multi-institutional study
Das, I. J., Yadav, P., Andersen, A. D., Chen, Z. J., Huang, L., Langer, M. P., Lee, C., Li, L., Popple, R. A., Rice, R. K., Schiff, P. B., Zhu, T. C. & Abazeed, M. E., May 2023, In: Radiotherapy and Oncology. 182, 109571.Research output: Contribution to journal › Article › peer-review
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Image-Based Deep Neural Network for Individualizing Radiotherapy Dose Is Transportable Across Health Systems
Randall, J., Teo, P. T., Lou, B., Shah, J., Patel, J., Kamen, A. & Abazeed, M. E., Jan 1 2023, In: JCO Clinical Cancer Informatics. 7, p. e2200100Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation
Srivastava, A., Jha, D., Aydogan, B., Abazeed, M. E. & Bagci, U., 2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 107-113 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Artificial Intelligence-based Radiomics in the Era of Immuno-oncology
Kang, C. Y., Duarte, S. E., Kim, H. S., Kim, E., Park, J., Lee, A. D., Kim, Y., Kim, L., Cho, S., Oh, Y., Gim, G., Park, I., Lee, D., Abazeed, M., Velichko, Y. S. & Chae, Y. K., Jun 2022, In: Oncologist. 27, 6, p. E471-E483Research output: Contribution to journal › Review article › peer-review
Open Access11 Scopus citations -
Deterministic small-scale undulations of image-based risk predictions from the deep learning of lung tumors in motion
Teo, P. T., Bajaj, A., Randall, J., Lou, B., Shah, J., Gopalakrishnan, M., Kamen, A. & Abazeed, M. E., Nov 2022, In: Medical Physics. 49, 11, p. 7347-7356 10 p.Research output: Contribution to journal › Article › peer-review
Open Access