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 | 19 | 2022 |
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 | 11 | 2022 |
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 | 9 | 2023 |
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 | 4 | 2022 |
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 |