Korfiatis Panagiotis
Korfiatis Panagiotis
Verified email at mayo.edu
Cited by
Cited by
Machine learning for medical imaging
BJ Erickson, P Korfiatis, Z Akkus, TL Kline
Radiographics 37 (2), 505-515, 2017
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
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
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
Toolkits and libraries for deep learning
BJ Erickson, P Korfiatis, Z Akkus, T Kline, K Philbrick
Journal of digital imaging 30 (4), 400-405, 2017
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
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
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
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 (5), 622-628, 2017
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
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 (4), 442-448, 2017
Vessel tree segmentation in presence of interstitial lung disease in MDCT
PD Korfiatis, C Kalogeropoulou, AN Karahaliou, AD Kazantzi, ...
IEEE Transactions on Information Technology in Biomedicine 15 (2), 214-220, 2011
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
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
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
Automated segmentation of hyperintense regions in FLAIR MRI using deep learning
P Korfiatis, TL Kline, BJ Erickson
Tomography 2 (4), 334, 2016
Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures
NS Arikidis, A Karahaliou, S Skiadopoulos, P Korfiatis, E Likaki, ...
Computerized Medical Imaging and Graphics 34 (6), 487-493, 2010
Semiautomated segmentation of polycystic kidneys in T2-weighted MR images
TL Kline, ME Edwards, P Korfiatis, Z Akkus, VE Torres, BJ Erickson
American Journal of Roentgenology 207 (3), 605-613, 2016
Utilizing magnetization transfer imaging to investigate tissue remodeling in a murine model of autosomal dominant polycystic kidney disease
TL Kline, MV Irazabal, B Ebrahimi, K Hopp, KN Udoji, JD Warner, ...
Magnetic resonance in medicine 75 (4), 1466-1473, 2016
Variability and accuracy of different software packages for dynamic susceptibility contrast magnetic resonance imaging for distinguishing glioblastoma progression from …
ZS Kelm, PD Korfiatis, RK Lingineni, JR Daniels, JC Buckner, ...
Journal of Medical Imaging 2 (2), 026001, 2015
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