Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications. - Noor Nakhaei; Chrysostomos Marasinou; Akinyinka Omigbodun; Nina Capiro; Bo Li; Anne Hoyt; William Hsu (Computer-Aided Diagnosis, 2021)

Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography. - Arvind Vepa; Andrew Choi; Noor Nakhaei; Wonjun Lee 004; Noah Stier; Andrew Vu; Greyson Jenkins; Xiaoyan Yang; Manjot Shergill; Moira Desphy; Kevin Delao; Mia Levy; et al. (WACV, 2022)

Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. - Kalyani Marathe; Chrysostomos Marasinou; Beibin Li; Noor Nakhaei; Bo Li; Joann G. Elmore; Linda G. Shapiro; William Hsu (Comput. Biol. Medicine, 2022)

Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach. - Chrysostomos Marasinou; Bo Li; Jeremy Paige; Akinyinka Omigbodun; Noor Nakhaei; Anne Hoyt; William Hsu (J. Digit. Imaging, 2023)

Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications. - Noor Nakhaei; Chrysostomos Marasinou; Akinyinka Omigbodun; Nina Capiro; Bo Li; Anne Hoyt; William Hsu (CoRR, 2024)