Ian F. Parney

According to our database, Ian F. Parney authored at least 3 papers between 2016 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.

Panagiotis Korfiatis, Timothy L. Kline, Daniel H. Lachance, Ian F. Parney, Jan C. Buckner, Bradley J. Erickson

J. Digit. Imaging, 2017

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.

Zeynettin Akkus, Issa Ali, Jirí Sedlár, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson

J. Digit. Imaging, 2017

2016

Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning.

Zeynettin Akkus, Issa Ali, Jirí Sedlár, Timothy L. Kline, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson

CoRR, 2016