The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. - Nastaran Emaminejad; Pechin Lo; Shahnaz Ghahremani; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2017)

Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. - M. Wasil Wahi-Anwar; Nastaran Emaminejad; John M. Hoffman; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2018)

High Throughput Lung and Lobar Segmentation by 2D and 3D CNN on Chest CT with Diffuse Lung Disease. - Xiaoyong Wang; Pangyu Teng; Pechin Lo; Ashley Banola; Grace H. Kim; Fereidoun Abtin; Jonathan G. Goldin; Matthew S. Brown (RAMBO+BIA+TIA@MICCAI, 2018)

3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment. - Dallas K. Tada; Pangyu Teng; Michael F. McNitt-Gray; Grace H. Kim; Matthew S. Brown; Jonathan G. Goldin; Kalyani Vyapari; Ashley Banola (Computer-Aided Diagnosis, 2023)

Exploring the Impact of Acquisition and Reconstruction Parameters on an Imaging-Based Lung Cancer Risk Model. - Luoting Zhuang; Anil Yadav; Grace H. Kim; Seyed Mohammad Hossein Tabatabaei; Ashley Prosper; William Hsu (EMBC, 2024)