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Korfiatis Panagiotis
Korfiatis Panagiotis
Verified email at mayo.edu
Title
Cited by
Cited by
Year
Machine learning for medical imaging
BJ Erickson, P Korfiatis, Z Akkus, TL Kline
radiographics 37 (2), 505-515, 2017
15212017
Automated abdominal segmentation of CT scans for body composition analysis using deep learning
AD Weston, P Korfiatis, TL Kline, KA Philbrick, P Kostandy, T Sakinis, ...
Radiology 290 (3), 669-679, 2019
2862019
Toolkits and libraries for deep learning
BJ Erickson, P Korfiatis, Z Akkus, T Kline, K Philbrick
Journal of digital imaging 30, 400-405, 2017
1922017
Residual deep convolutional neural network predicts MGMT methylation status
P Korfiatis, TL Kline, DH Lachance, IF Parney, JC Buckner, BJ Erickson
Journal of digital imaging 30, 622-628, 2017
1862017
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
P Korfiatis, TL Kline, L Coufalova, DH Lachance, IF Parney, RE Carter, ...
Medical physics 43 (6Part1), 2835-2844, 2016
1662016
Performance of an artificial multi-observer deep neural network for fully automated segmentation of polycystic kidneys
TL Kline, P Korfiatis, ME Edwards, JD Blais, FS Czerwiec, PC Harris, ...
Journal of digital imaging 30, 442-448, 2017
1422017
Deep learning in radiology: does one size fit all?
BJ Erickson, P Korfiatis, TL Kline, Z Akkus, K Philbrick, AD Weston
Journal of the American College of Radiology 15 (3), 521-526, 2018
1322018
Texture-based identification and characterization of interstitial pneumonia patterns in lung multidetector CT
PD Korfiatis, AN Karahaliou, AD Kazantzi, C Kalogeropoulou, ...
IEEE transactions on information technology in biomedicine 14 (3), 675-680, 2009
1082009
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning
KA Philbrick, AD Weston, Z Akkus, TL Kline, P Korfiatis, T Sakinis, ...
Journal of digital imaging 32, 571-581, 2019
982019
Combining 2D wavelet edge highlighting and 3D thresholding for lung segmentation in thin-slice CT
P Korfiatis, S Skiadopoulos, P Sakellaropoulos, C Kalogeropoulou, ...
The British journal of radiology 80 (960), 996-1004, 2007
942007
Texture classification‐based segmentation of lung affected by interstitial pneumonia in high‐resolution CT
P Korfiatis, C Kalogeropoulou, A Karahaliou, A Kazantzi, S Skiadopoulos, ...
Medical physics 35 (12), 5290-5302, 2008
882008
Interactive segmentation of medical images through fully convolutional neural networks
T Sakinis, F Milletari, H Roth, P Korfiatis, P Kostandy, K Philbrick, Z Akkus, ...
arXiv preprint arXiv:1903.08205, 2019
872019
Automated segmentation of hyperintense regions in FLAIR MRI using deep learning
P Korfiatis, TL Kline, BJ Erickson
Tomography 2 (4), 334-340, 2016
702016
What does deep learning see? Insights from a classifier trained to predict contrast enhancement phase from CT images
KA Philbrick, K Yoshida, D Inoue, Z Akkus, TL Kline, AD Weston, ...
American Journal of Roentgenology 211 (6), 1184-1193, 2018
692018
Image texture features predict renal function decline in patients with autosomal dominant polycystic kidney disease
TL Kline, P Korfiatis, ME Edwards, KT Bae, A Yu, AB Chapman, M Mrug, ...
Kidney international 92 (5), 1206-1216, 2017
612017
Is there a role for B-cell depletion as therapy for scleroderma? A case report and review of the literature
D Daoussis, SNC Liossis, AC Tsamandas, C Kalogeropoulou, A Kazantzi, ...
Seminars in arthritis and rheumatism 40 (2), 127-136, 2010
612010
Automatic total kidney volume measurement on follow-up magnetic resonance images to facilitate monitoring of autosomal dominant polycystic kidney disease progression
TL Kline, P Korfiatis, ME Edwards, JD Warner, MV Irazabal, BF King, ...
Nephrology Dialysis Transplantation 31 (2), 241-248, 2016
602016
Deep learning can see the unseeable: predicting molecular markers from MRI of brain gliomas
P Korfiatis, B Erickson
Clinical radiology 74 (5), 367-373, 2019
552019
Impact of software modeling on the accuracy of perfusion MRI in glioma
LS Hu, Z Kelm, P Korfiatis, AC Dueck, C Elrod, BM Ellingson, ...
American Journal of Neuroradiology 36 (12), 2242-2249, 2015
542015
The impact of Platelet Rich Plasma (PRP) in osseointegration of oral implants in dental panoramic radiography: texture based evaluation
I Georgakopoulos, S Tsantis, P Georgakopoulos, P Korfiatis, E Fanti, ...
Clinical Cases in Mineral and Bone Metabolism 11 (1), 59, 2014
532014
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Articles 1–20