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)

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; et al. (Computer-Aided Diagnosis, 2022)

A deep network ensemble for segmentation of cervical spinal cord and neural foramina. - David Zarrin; Anshul Ratnaparkhi; Bayard Wilson; Kirstin Cook; Ien Li; Azim Laiwalla; Mark Attiah; Joel Beckett; Bilwaj Gaonkar; Luke Macyszyn (Computer-Aided Diagnosis, 2022)

Segmentation and identification of fatty infiltration of the erector spinae using deep learning. - Anshul Ratnaparkhi; Bilwaj Gaonkar; Azim Laiwalla; Elliot Berdy; Matiar Jafari; Abhinav Suri; David Zarrin; Kirstin Cook; Bayard Wilson; Luke Macyszyn; Joel Beckett (Image Processing, 2023)