Ulas Bagci
Affiliations: | National Institutes of Health, Bethesda, MD |
Area:
Medical Image ProcessingGoogle:
"Ulas Bagci"Mean distance: 106866
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Publications
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| Salanitri FP, Bellitto G, Irmakci I, et al. (2021) Hierarchical 3D Feature Learning for Pancreas Segmentation. Machine Learning in Medical Imaging. Mlmi (Workshop). 12966: 238-247 |
| Masoudi S, Harmon SA, Mehralivand S, et al. (2021) Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research. Journal of Medical Imaging (Bellingham, Wash.). 8: 010901 |
| LaLonde R, Xu Z, Irmakci I, et al. (2020) Capsules for biomedical image segmentation. Medical Image Analysis. 68: 101889 |
| Masoudi S, Anwar SM, Harmon SA, et al. (2020) Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1624-1628 |
| Harmon SA, Sanford TH, Xu S, et al. (2020) Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. Nature Communications. 11: 4080 |
| Kalemaki MS, Karantanas AH, Exarchos D, et al. (2020) PET/CT and PET/MRI in ophthalmic oncology (Review) International Journal of Oncology. 56: 417-429 |
| Masoudi S, Razi A, Wright CHG, et al. (2020) Instance-Level Microtubule Tracking. Ieee Transactions On Medical Imaging |
| Hoogenboom SA, Bagci U, Wallace MB. (2020) Artificial intelligence in gastroenterology. The current state of play and the potential. How will it affect our practice and when Techniques in Gastrointestinal Endoscopy. 22: 42-47 |
| Desai A, Caliva F, Iriondo C, et al. (2020) A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge Osteoarthritis and Cartilage. 28: S304-S305 |
| Zhuang X, Li L, Payer C, et al. (2019) Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Analysis. 58: 101537 |