Grace H. Kim

According to our database, Grace H. Kim authored at least 4 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

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

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017