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Noor Nakhaei
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Journal Articles
- 2023
- [j2]Chrysostomos Marasinou, Bo Li, Jeremy Paige, Akinyinka Omigbodun, Noor Nakhaei, Anne Hoyt, William Hsu:
Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach. J. Digit. Imaging 36(3): 1016-1028 (2023) - 2022
- [j1]Kalyani Marathe, Chrysostomos Marasinou, Beibin Li, Noor Nakhaei, Bo Li, Joann G. Elmore, Linda G. Shapiro, William Hsu:
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. Comput. Biol. Medicine 146: 105504 (2022)
Conference and Workshop Papers
- 2022
- [c2]Arvind Vepa, Andrew Choi, Noor Nakhaei, Wonjun Lee, Noah Stier, Andrew Vu, Greyson Jenkins, Xiaoyan Yang, Manjot Shergill, Moira Desphy, Kevin Delao, Mia Levy, Cristopher Garduno, Lacy Nelson, Wandi Liu, Fan Hung, Fabien Scalzo:
Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography. WACV 2022: 3220-3229 - 2021
- [c1]Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu:
Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications. Computer-Aided Diagnosis 2021
Informal and Other Publications
- 2024
- [i1]Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu:
Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications. CoRR abs/2405.13237 (2024)
Coauthor Index
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last updated on 2024-11-28 21:23 CET by the dblp team
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