The basics of diffusion and perfusion imaging in brain tumors.
Bradley J Erickson , Panagiotis Korfiatis
Applied Radiology 43 ( 7) 22 -29
14
2014
Interactive segmentation of medical images through fully convolutional neural networks.
Fausto Milletari , Zeynettin Akkus , Kenneth Philbrick , Bradley J. Erickson
arXiv: Computer Vision and Pattern Recognition
59
2019
Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Sushil K. Garg , Eric C. Polley , Suresh T. Chari , Panagiotis Korfiatis
Medical Physics 48 ( 5) 2468 -2481
14
2021
Fast super-resolution ultrasound microvessel imaging using spatiotemporal data with deep fully convolutional neural network.
Joshua D Trzasko , Rongqin Zheng , Chengwu Huang , Daniel J Blezek
Physics in Medicine and Biology 66 ( 7) 075005
2021
Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications
Mark J. Truty , Suresh T. Chari , Shounak Majumder , Joel G. Fletcher
Pancreatology
2021
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement.
Eric E Williamson , Kenneth A Philbrick , Bradley J Erickson , Jeremy D Collins
Journal of Digital Imaging
3
2021
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
Panagiotis Korfiatis , Timothy L. Kline , Lucie Coufalova , Daniel H. Lachance
Medical Physics 43 ( 6) 2835 -2844
143
2016
Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging.
Zeynettin Akkus , Jiri Sedlar , Lucie Coufalova , Panagiotis Korfiatis
Cancer Imaging 15 ( 1) 12 -12
13
2015
Complete abdomen and pelvis segmentation using U‐net variant architecture
Alexander D. Weston , Panagiotis Korfiatis , Kenneth A. Philbrick , Gian Marco Conte
Medical Physics 47 ( 11) 5609 -5618
2
2020
Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients
Panagiotis Korfiatis , Timothy L. Kline , Bradley J. Erickson
Medical Imaging 2018: Computer-Aided Diagnosis 10575
3
2018
Utilizing magnetization transfer imaging to investigate tissue remodeling in a murine model of autosomal dominant polycystic kidney disease
Timothy L. Kline , Maria V. Irazabal , Behzad Ebrahimi , Katharina Hopp
Magnetic Resonance in Medicine 75 ( 4) 1466 -1473
27
2016
Semiautomated Segmentation of Polycystic Kidneys in T2-Weighted MR Images.
Timothy L. Kline , Marie E. Edwards , Panagiotis Korfiatis , Zeynettin Akkus
American Journal of Roentgenology 207 ( 3) 605 -613
22
2016
NIMG-26COMPARISON OF POST-GADOLINIUM 3D FAST SPIN ECHO IMAGES VERSUS REGISTERED AND SUBTRACTED MPRAGE IMAGES IN GLIOMA PATIENTS
Bradley Erickson , Timothy Kaufmann , Jay Agrawal , Panagiotis Korfiatis
Neuro-oncology 17
2015
Deep Variational Network for High Quality 3D Ultrasound Imaging using Sparse Array
U-Wai Lok , Joshua D. Trzasko , Ping Gong , Chengwu Huang
internaltional ultrasonics symposium 9251398
2020
COMP-05. EVALUATION OF A DEEP LEARNING ARCHITECTURE FOR MRI PREDICTION OF IDH, 1p19q AND TERT IN GLIOMA PATIENTS
Panagiotis Korfiatis , Daniel Lachance , Ian Parney , Jan Buckner
Neuro-oncology 20
1
2018
Cerebral blood volume and apparent diffusion coefficient - Valuable predictors of non-response to bevacizumab treatment in patients with recurrent glioblastoma.
Lucie Petrova , Panagiotis Korfiatis , Ondra Petr , Daniel H. LaChance
Journal of the Neurological Sciences 405 116433
5
2019
RIL-Contour : a Medical Imaging Dataset Annotation Tool for and with Deep Learning
Kenneth A. Philbrick , Alexander D. Weston , Zeynettin Akkus , Timothy L. Kline
Journal of Digital Imaging 32 ( 4) 571 -581
64
2019
What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images.
Kenneth A. Philbrick , Kotaro Yoshida , Dai Inoue , Zeynettin Akkus
American Journal of Roentgenology 211 ( 6) 1184 -1193
55
2018
Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning
Alexander D. Weston , Panagiotis Korfiatis , Timothy L. Kline , Kenneth A. Philbrick
Radiology 290 ( 3) 669 -679
83
2019