| 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 | 1495 | 2019 |
| 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 | 421 | 2017 |
| 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 | 307 | 2020 |
| 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 | 295 | 2019 |
| 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, 589-592, 2017 | 103 | 2017 |
| 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 | 100 | 2020 |
| Deep learning in archaeological remote sensing: Automated qanat detection in the Kurdistan region of Iraq M Soroush, A Mehrtash, E Khazraee, JA Ur Remote Sensing 12 (3), 500, 2020 | 80 | 2020 |
| 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 | 72 | 2018 |
| 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 | 72 | 2015 |
| 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 | 64 | 2019 |
| 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 | 55 | 2017 |
| 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 | 48 | 2015 |
| 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 | 46 | 2019 |
| 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, 1475-1486, 2016 | 46 | 2016 |
| 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 | 38 | 2018 |
| Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound A Sedghi, A Mehrtash, A Jamzad, A Amalou, WM Wells, T Kapur, JT Kwak, ... International journal of computer assisted radiology and surgery 15, 1215-1223, 2020 | 28 | 2020 |
| 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, 1871-1880, 2018 | 28 | 2018 |
| 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 | 26 | 2018 |
| Lung nodule malignancy prediction in sequential ct scans: Summary of isbi 2018 challenge Y Balagurunathan, A Beers, M Mcnitt-Gray, L Hadjiiski, S Napel, ... IEEE transactions on medical imaging 40 (12), 3748-3761, 2021 | 24 | 2021 |
| Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy G Pernelle, A Mehrtash, L Barber, A Damato, W Wang, RT Seethamraju, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 22 | 2013 |
Tina KapurBrigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
