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Noor Nakhaei
Noor Nakhaei
Ph.D. Candidate, Computer Science department, University of California, Los Angeles
Verified email at ucla.edu - Homepage
Title
Cited by
Cited by
Year
External validation of an ensemble model for automated mammography interpretation by artificial intelligence
W Hsu, DS Hippe, N Nakhaei, PC Wang, B Zhu, N Siu, ME Ahsen, ...
JAMA network open 5 (11), e2242343-e2242343, 2022
182022
Weakly-supervised convolutional neural networks for vessel segmentation in cerebral angiography
A Vepa, A Choi, N Nakhaei, W Lee, N Stier, A Vu, G Jenkins, X Yang, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
112022
A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis
N Konz, M Buda, H Gu, A Saha, J Yang, J Chłędowski, J Park, J Witowski, ...
JAMA network open 6 (2), e230524-e230524, 2023
92023
Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach
C Marasinou, B Li, J Paige, A Omigbodun, N Nakhaei, A Hoyt, W Hsu
Journal of digital imaging 36 (3), 1016-1028, 2023
4*2023
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification
K Marathe, C Marasinou, B Li, N Nakhaei, B Li, JG Elmore, L Shapiro, ...
Computers in biology and medicine 146, 105504, 2022
42022
Refining boundaries of the segment anything model in medical images using an active contour model
N Nakhaei, T Zhang, D Terzopoulos, W Hsu
Medical Imaging 2024: Computer-Aided Diagnosis 12927, 749-758, 2024
2024
Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications
N Nakhaei, C Marasinou, A Omigbodun, N Capiro, B Li, A Hoyt, W Hsu
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 511-516, 2021
2021
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