Alireza Mehrtash
Orcid: 0000-0003-3703-5330
According to our database1,
Alireza Mehrtash
authored at least 24 papers
between 2013 and 2024.
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Bibliography
2024
Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision.
Comput. Medical Imaging Graph., January, 2024
2023
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., October, 2023
IEEE J. Biomed. Health Informatics, September, 2023
2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging, 2021
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Biomed. Eng., 2020
Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq.
Remote. Sens., 2020
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.
IEEE Trans. Medical Imaging, 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
2018
Using the variogram for vector outlier screening: application to feature-based image registration.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
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., 2016
2014
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013