Christine S. Ahn

According to our database, Christine S. Ahn authored at least 4 papers between 2017 and 2022.

Collaborative distances:

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

2022

Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets.

Anshul Ratnaparkhi, Bilwaj Gaonkar, David Zarrin, Ien Li, Kirstin Cook, Azim Laiwalla, Bayard Wilson, Mark Attiah, Christine S. Ahn, Diane Villaroman, Bryan Yoo, Banafsheh Salehi, Joel Beckett, Luke Macyszyn

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation.

Bilwaj Gaonkar, Joel Beckett, Mark Attiah, Christine S. Ahn, Matthew Edwards, Bayard Wilson, Azim Laiwalla, Banafsheh Salehi, Bryan Yoo, Alex A. T. Bui, Luke Macyszyn

Medical Image Anal., 2021

2017

Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching.

Mona Sharifi Sarabi, Diane Villaroman, Joel Beckett, Mark Attiah, Logan Marcus, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra

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

Automatic segmentation of lumbar vertebrae in CT images.

Amruta Kulkarni, Akshita Raina, Mona Sharifi Sarabi, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra

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