Concepts
This page shows the publications Alireza Mehrtash has written about Humans.
Connection Strength
0.050
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Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. IEEE Trans Med Imaging. 2020 12; 39(12):3868-3878.
Score: 0.010
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Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans Med Imaging. 2019 04; 38(4):1026-1036.
Score: 0.009
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Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans Med Imaging. 2021 12; 40(12):3748-3761.
Score: 0.003
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Domain adaptation for segmentation of critical structures for prostate cancer therapy. Sci Rep. 2021 06 01; 11(1):11480.
Score: 0.003
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Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int J Comput Assist Radiol Surg. 2020 Jul; 15(7):1215-1223.
Score: 0.002
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An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning. Neurosurgery. 2020 02 01; 86(2):E184-E192.
Score: 0.002
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Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma. JCO Clin Cancer Inform. 2020 01; 4:25-34.
Score: 0.002
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Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy. Phys Med Biol. 2019 08 14; 64(16):165008.
Score: 0.002
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Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy. IEEE Trans Biomed Eng. 2020 02; 67(2):565-576.
Score: 0.002
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Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports. JCO Clin Cancer Inform. 2019 04; 3:1-9.
Score: 0.002
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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans Med Imaging. 2019 11; 38(11):2556-2568.
Score: 0.002
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Artificial intelligence in cancer imaging: Clinical challenges and applications. CA Cancer J Clin. 2019 03; 69(2):127-157.
Score: 0.002
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Using the variogram for vector outlier screening: application to feature-based image registration. Int J Comput Assist Radiol Surg. 2018 Dec; 13(12):1871-1880.
Score: 0.002
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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 Aug; 11(8):1475-86.
Score: 0.002
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Reconstruction of the arcuate fasciculus for surgical planning in the setting of peritumoral edema using two-tensor unscented Kalman filter tractography. Neuroimage Clin. 2015; 7:815-22.
Score: 0.002
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Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):380-7.
Score: 0.001
Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.