Luke Macyszyn - RankMe

14 papers B 1Journal 3Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	B	`conf`	Segmentation and identification of fatty infiltration of the erector spinae using deep learning. Image Processing Anshul Ratnaparkhi, Bilwaj Gaonkar, Azim Laiwalla, Elliot Berdy, Matiar Jafari, Abhinav Suri, David Zarrin, Kirstin Cook, Bayard Wilson, Luke Macyszyn, Joel Beckett
2022	—	`conf`	A deep network ensemble for segmentation of cervical spinal cord and neural foramina. Computer-Aided Diagnosis David Zarrin, Anshul Ratnaparkhi, Bayard Wilson, Kirstin Cook, Ien Li, Azim Laiwalla, Mark Attiah, Joel Beckett, Bilwaj Gaonkar, Luke Macyszyn
2022	—	`conf`	Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets. Computer-Aided Diagnosis 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
2021	J	`jnl`	Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation. Medical Image Anal. 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
2021	—	`conf`	Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer. Computer-Aided Diagnosis Ien Li, Kirstin Cook, Michael Le, Bilwaj Gaonkar, Luke Macyszyn
2019	J	`jnl`	EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation. CoRR Bilwaj Gaonkar, Alex A. T. Bui, Luke Macyszyn
2018	—	`conf`	A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks. ISBI William Whitehead, Steven Moran, Bilwaj Gaonkar, Luke Macyszyn, Subramanian S. Iyer
2018	—	`conf`	Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches. EMBC Bau Pham, Bilwaj Gaonkar, William Whitehead, Steven Moran, Qing Dai, Luke Macyszyn, V. Reggie Edgerton
2018	J	`jnl`	Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? CoRR Bilwaj Gaonkar, Alex A. T. Bui, Matthew Brown, Luke Macyszyn
2018	—	`conf`	Orchestral fully convolutional networks for small lesion segmentation in brain MRI. ISBI 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
2017	—	`conf`	Automatic segmentation of lumbar vertebrae in CT images. Computer-Aided Diagnosis Amruta Kulkarni, Akshita Raina, Mona Sharifi Sarabi, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra
2017	—	`conf`	Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching. Computer-Aided Diagnosis Mona Sharifi Sarabi, Diane Villaroman, Joel Beckett, Mark Attiah, Logan Marcus, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra
2017	—	`conf`	Bayesian automated cortical segmentation for neonatal MRI. SIPAIM Zane Chou, Natacha Paquette, Bhavana Ganesh, Yalin Wang, Rafael Ceschin, Marvin D. Nelson, Luke Macyszyn, Bilwaj Gaonkar, Ashok Panigrahy, Natasha Leporé
2016	—	`conf`	Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation. Computer-Aided Diagnosis Bilwaj Gaonkar, David Hovda, Neil Martin, Luke Macyszyn