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Luke Macyszyn
ORCID
Publication Activity (10 Years)
Years Active: 2016-2021
Publications (10 Years): 10
Top Topics
Subset Selection
Deep Learning
Image Segmentation
Spinal Cord
Top Venues
Medical Imaging: Computer-Aided Diagnosis
ISBI
CoRR
Medical Image Anal.
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Publications
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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)
Bilwaj Gaonkar
,
Alex A. T. Bui
,
Luke Macyszyn
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation.
CoRR
(2019)
Bau Pham
,
Bilwaj Gaonkar
,
William Whitehead
,
Steven Moran
,
Qing Dai
,
Luke Macyszyn
,
V. Reggie Edgerton
Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches.
EMBC
(2018)
William Whitehead
,
Steven Moran
,
Bilwaj Gaonkar
,
Luke Macyszyn
,
Subramanian Iyer
A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks.
ISBI
(2018)
Bilwaj Gaonkar
,
Alex A. T. Bui
,
Matthew Brown
,
Luke Macyszyn
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
CoRR
(2018)
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
Orchestral fully convolutional networks for small lesion segmentation in brain MRI.
ISBI
(2018)
Amruta Kulkarni
,
Akshita Raina
,
Mona Sharifi Sarabi
,
Christine S. Ahn
,
Diana Babayan
,
Bilwaj Gaonkar
,
Luke Macyszyn
,
Cauligi S. Raghavendra
Automatic segmentation of lumbar vertebrae in CT images.
Medical Imaging: Computer-Aided Diagnosis
(2017)
Zane Chou
,
Natacha Paquette
,
Bhavana Ganesh
,
Yalin Wang
,
Rafael Ceschin
,
Marvin D. Nelson
,
Luke Macyszyn
,
Bilwaj Gaonkar
,
Ashok Panigrahy
,
Natasha Leporé
Bayesian automated cortical segmentation for neonatal MRI.
SIPAIM
(2017)
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)
Bilwaj Gaonkar
,
David Hovda
,
Neil Martin
,
Luke Macyszyn
Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation.
Medical Imaging: Computer-Aided Diagnosis
(2016)