Alireza Mehrtash

Orcid: 0000-0003-3703-5330

According to our database1, Alireza Mehrtash authored at least 24 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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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

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.
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

Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy.
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

PEP: Parameter Ensembling by Perturbation.
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

Deep Information Theoretic Registration.
CoRR, 2019

Semi-supervised image registration using deep learning.
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
Semi-Supervised Deep Metrics for Image Registration.
CoRR, 2018

Using the variogram for vector outlier screening: application to feature-based image registration.
Int. J. Comput. Assist. Radiol. Surg., 2018

Automatic high resolution segmentation of the prostate from multi-planar MRI.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
DeepInfer: open-source deep learning deployment toolkit for image-guided therapy.
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
EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

2013
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013


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