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Alireza Mehrtash
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2020 – today
- 2024
- [j12]Alireza Mehrtash
, Erik Ziegler
Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision. Comput. Medical Imaging Graph. 111: 102312 (2024) - 2023
- [j11]Amir Rouhollahi
CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis. Comput. Medical Imaging Graph. 109: 102289 (2023) - [j10]Ruben T. Lucassen
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. IEEE J. Biomed. Health Informatics 27(9): 4352-4361 (2023) - 2021
- [j9]Yoganand Balagurunathan
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - [c10]Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III:
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty. ISBI 2021: 443-447 - 2020
- [j8]Alireza Sedghi, Alireza Mehrtash, Amoon Jamzad, Amel Amalou, William M. Wells III, Tina Kapur, Jin Tae Kwak
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1215-1223 (2020) - [j7]Mehrnoush Soroush
Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq. Remote. Sens. 12(3): 500 (2020) - [j6]Christian Herz
Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy. IEEE Trans. Biomed. Eng. 67(2): 565-576 (2020) - [j5]Alireza Mehrtash
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. IEEE Trans. Medical Imaging 39(12): 3868-3878 (2020) - [c9]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. NeurIPS 2020 - [i6]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. CoRR abs/2010.12721 (2020)
2010 – 2019
- 2019
- [j4]Alireza Mehrtash
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans. Medical Imaging 38(4): 1026-1036 (2019) - [j3]Hugo J. Kuijf
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c8]Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash
Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging. Medical Imaging: Image-Guided Procedures 2019: 109511R - [c7]Alireza Sedghi, Jie Luo, Alireza Mehrtash
Semi-supervised image registration using deep learning. Medical Imaging: Image-Guided Procedures 2019: 109511G - [i5]Alireza Sedghi, Jie Luo, Alireza Mehrtash
Deep Information Theoretic Registration. CoRR abs/1901.00040 (2019) - [i4]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i3]Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur:
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. CoRR abs/1911.13273 (2019) - 2018
- [j2]Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat
Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1871-1880 (2018) - [c6]Anneke Meyer, Alireza Mehrtash
Automatic high resolution segmentation of the prostate from multi-planar MRI. ISBI 2018: 177-181 - [i2]Alireza Sedghi, Jie Luo, Alireza Mehrtash
Semi-Supervised Deep Metrics for Image Registration. CoRR abs/1804.01565 (2018) - 2017
- [c5]Alireza Mehrtash
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2017: 101342A - [c4]Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) 2017: 516-524 - [c3]Alireza Mehrtash
DeepInfer: open-source deep learning deployment toolkit for image-guided therapy. Medical Imaging: Image-Guided Procedures 2017: 101351K - [i1]Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III:
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR abs/1702.07841 (2017) - 2016
- [j1]Zhenrui Chen, Yanmei Tie, Olutayo I. Olubiyi
Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1475-1486 (2016) - 2014
- [c2]Alireza Mehrtash
EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study. Medical Imaging: Image-Guided Procedures 2014: 90361F - 2013
- [c1]Guillaume Pernelle, Alireza Mehrtash, Lauren Barber, Antonio Damato, Wei Wang, Ravi Teja Seethamraju
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy. MICCAI (3) 2013: 380-387
Coauthor Index
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