Joel Beckett

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 5

Top Topics

Subset Selection

Medical Image Segmentation

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Image Anal.

Medical Imaging: Image Processing

Publications

Anshul Ratnaparkhi, Bilwaj Gaonkar, Azim Laiwalla, Elliot Berdy, Matiar Jafari, Abhinav Suri, David Zarrin, Kirstin Cook, Bayard Wilson, Luke Macyszyn, Joel Beckett
Segmentation and identification of fatty infiltration of the erector spinae using deep learning. Medical Imaging: Image Processing (2023)
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
Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets. Medical Imaging: Computer-Aided Diagnosis (2022)
David Zarrin, Anshul Ratnaparkhi, Bayard Wilson, Kirstin Cook, Ien Li, Azim Laiwalla, Mark Attiah, Joel Beckett, Bilwaj Gaonkar, Luke Macyszyn
A deep network ensemble for segmentation of cervical spinal cord and neural foramina. Medical Imaging: Computer-Aided Diagnosis (2022)
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
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation. Medical Image Anal. 67 (2021)
Mona Sharifi Sarabi, Diane Villaroman, Joel Beckett, Mark Attiah, Logan Marcus, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra
Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching. Medical Imaging: Computer-Aided Diagnosis (2017)