Grants per year
Personal profile
Education/Academic qualification
Computer Science, PhD, University of Nottingham
… → 2010
Computer Science, PhD, University of Nottingham
… → 2010
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Dive into the research topics where Ulas Bagci 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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Grants
- 6 Active
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PASC Pulmonary Fibrosis Prediction with Deep Learning and Multi-Modal Data
RSNA Research and Education Foundation
11/1/22 → 10/31/23
Project: Research project
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Motion Resistance Artificial Subtraction Angiography with Deep Learning
Cantrell, D. R., Ansari, S. A., Bagci, U. & Markl, M.
4/1/22 → 3/31/25
Project: Research project
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Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic Tumors
3/1/21 → 2/28/25
Project: Research project
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AI in Clinical Medicine: A Practical Guide for Healthcare Professionals
Byrne, M. F., Parsa, N., Greenhill, A. T., Chahal, D., Ahmad, O. & Bagci, U., Jan 1 2023, wiley. 553 p.Research output: Book/Report › Book
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An automatic segmentation framework for computer-assisted renal scintigraphy procedure
Rahimi, A., Hosntalab, M., Babapour Mofrad, F., Amoui, M. & Bagci, U., Jan 2023, In: Medical and Biological Engineering and Computing. 61, 1, p. 285-295 11 p.Research output: Contribution to journal › Article › peer-review
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Building Blocks of AI
Bagci, U., Irmakci, I., Demir, U. & Keles, E., Jan 1 2023, AI in Clinical Medicine: A Practical Guide for Healthcare Professionals. wiley, p. 56-65 10 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Current State of Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Traumatic Brain Injury Prognostication
Grant, M., Liu, J. J., Wintermark, M., Bagci, U. & Douglas, D., May 2023, In: Neuroimaging Clinics of North America. 33, 2, p. 279-297 19 p.Research output: Contribution to journal › Review article › peer-review
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DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation
Tomar, N. K., Jha, D. & Bagci, U., 2023, MultiMedia Modeling - 29th International Conference, MMM 2023, Proceedings. Dang-Nguyen, D-T., Gurrin, C., Smeaton, A. F., Larson, M., Rudinac, S., Dao, M-S., Trattner, C. & Chen, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 334-344 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13833 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution