Alireza Mehrtash
Alireza Mehrtash
Harvard Medical School
Verified email at bwh.harvard.edu
Title
Cited by
Cited by
Year
Artificial intelligence in cancer imaging: clinical challenges and applications
WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ...
CA: a cancer journal for clinicians 69 (2), 127-157, 2019
2572019
Transfer learning for domain adaptation in MRI: Application in brain lesion segmentation
M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
1562017
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
752019
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks
A Mehrtash, A Sedghi, M Ghafoorian, M Taghipour, CM Tempany, ...
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101342A, 2017
442017
Reconstruction of the arcuate fasciculus for surgical planning in the setting of peritumoral edema using two-tensor unscented Kalman filter tractography
Z Chen, Y Tie, O Olubiyi, L Rigolo, A Mehrtash, I Norton, O Pasternak, ...
NeuroImage: Clinical 7, 815-822, 2015
382015
Real‐time active MR‐tracking of metallic stylets in MR‐guided radiation therapy
W Wang, CL Dumoulin, AN Viswanathan, ZTH Tse, A Mehrtash, W Loew, ...
Magnetic resonance in medicine 73 (5), 1803-1811, 2015
332015
DeepInfer: open-source deep learning deployment toolkit for image-guided therapy
A Mehrtash, M Pesteie, J Hetherington, PA Behringer, T Kapur, WM Wells, ...
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and …, 2017
312017
Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography
Z Chen, Y Tie, O Olubiyi, F Zhang, A Mehrtash, L Rigolo, P Kahali, ...
International journal of computer assisted radiology and surgery 11 (8 …, 2016
282016
Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy
P Zaffino, G Pernelle, A Mastmeyer, A Mehrtash, H Zhang, R Kikinis, ...
Physics in Medicine & Biology 64 (16), 165008, 2019
252019
Automatic needle segmentation and localization in MRI with 3-D convolutional neural networks: application to MRI-targeted prostate biopsy
A Mehrtash, M Ghafoorian, G Pernelle, A Ziaei, FG Heslinga, K Tuncali, ...
IEEE transactions on medical imaging 38 (4), 1026-1036, 2018
212018
Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging
A Mehrtash, SN Gupta, D Shanbhag, JV Miller, T Kapur, FM Fennessy, ...
Journal of Medical Imaging 3 (1), 014503, 2016
192016
Confidence calibration and predictive uncertainty estimation for deep medical image segmentation
A Mehrtash, WM Wells, CM Tempany, P Abolmaesumi, T Kapur
IEEE transactions on medical imaging 39 (12), 3868-3878, 2020
182020
Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy
G Pernelle, A Mehrtash, L Barber, A Damato, W Wang, RT Seethamraju, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2013
182013
Automatic high resolution segmentation of the prostate from multi-planar MRI
A Meyer, A Mehrtash, M Rak, D Schindele, M Schostak, C Tempany, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
162018
EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study
A Mehrtash, A Damato, G Pernelle, L Barber, N Farhat, A Viswanathan, ...
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and …, 2014
132014
Natural language processing for automated quantification of brain metastases reported in free-text radiology reports
JT Senders, AV Karhade, DJ Cote, A Mehrtash, N Lamba, A DiRisio, ...
JCO clinical cancer informatics 3, 1-9, 2019
122019
Using the variogram for vector outlier screening: application to feature-based image registration
J Luo, S Frisken, I Machado, M Zhang, S Pieper, P Golland, M Toews, ...
International journal of computer assisted radiology and surgery 13 (12 …, 2018
122018
An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning
JT Senders, P Staples, A Mehrtash, DJ Cote, MJB Taphoorn, DA Reardon, ...
Neurosurgery 86 (2), E184-E192, 2020
112020
Semi-supervised deep metrics for image registration
A Sedghi, J Luo, A Mehrtash, S Pieper, CM Tempany, T Kapur, P Mousavi, ...
arXiv preprint arXiv:1804.01565, 2018
112018
Semi-supervised image registration using deep learning
A Sedghi, J Luo, A Mehrtash, S Pieper, CM Tempany, T Kapur, P Mousavi, ...
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019
62019
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