Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation. - Bilwaj Gaonkar; David Hovda; Neil Martin; Luke Macyszyn (Computer-Aided Diagnosis, 2016)

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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 2017)

Bayesian automated cortical segmentation for neonatal MRI. - Zane Chou; Natacha Paquette; Bhavana Ganesh; Yalin Wang 001; Rafael Ceschin; Marvin D. Nelson; Luke Macyszyn; Bilwaj Gaonkar; Ashok Panigrahy; Natasha Leporé (SIPAIM, 2017)

Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches. - Bau Pham; Bilwaj Gaonkar; William Whitehead; Steven Moran; Qing Dai; Luke Macyszyn; V. Reggie Edgerton (EMBC, 2018)

A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks. - William Whitehead; Steven Moran; Bilwaj Gaonkar; Luke Macyszyn; Subramanian S. Iyer (ISBI, 2018)

Orchestral fully convolutional networks for small lesion segmentation in brain MRI. - Botian Xu; Yaqiong Chai; Cristina M. Galarza; Chau Q. Vu; Benita Tamrazi; Bilwaj Gaonkar; Luke Macyszyn; Thomas D. Coates Jr.; Natasha Leporé; John C. Wood (ISBI, 2018)

Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? - Bilwaj Gaonkar; Alex A. T. Bui; Matthew Brown; Luke Macyszyn (CoRR, 2018)

EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation. - Bilwaj Gaonkar; Alex A. T. Bui; Luke Macyszyn (CoRR, 2019)

Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer. - Ien Li; Kirstin Cook; Michael Le; Bilwaj Gaonkar; Luke Macyszyn (Computer-Aided Diagnosis, 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)

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)