Harvard Catalyst Profiles

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Alireza Mehrtash, Ph.D.

Concepts

This page shows the publications Alireza Mehrtash has written about Humans.
Connection Strength

0.050
  1. Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. IEEE Trans Med Imaging. 2020 12; 39(12):3868-3878.
    View in: PubMed
    Score: 0.010
  2. 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.
    View in: PubMed
    Score: 0.009
  3. Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans Med Imaging. 2021 12; 40(12):3748-3761.
    View in: PubMed
    Score: 0.003
  4. Domain adaptation for segmentation of critical structures for prostate cancer therapy. Sci Rep. 2021 06 01; 11(1):11480.
    View in: PubMed
    Score: 0.003
  5. 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.
    View in: PubMed
    Score: 0.002
  6. 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.
    View in: PubMed
    Score: 0.002
  7. 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.
    View in: PubMed
    Score: 0.002
  8. 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.
    View in: PubMed
    Score: 0.002
  9. Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy. IEEE Trans Biomed Eng. 2020 02; 67(2):565-576.
    View in: PubMed
    Score: 0.002
  10. Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports. JCO Clin Cancer Inform. 2019 04; 3:1-9.
    View in: PubMed
    Score: 0.002
  11. 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.
    View in: PubMed
    Score: 0.002
  12. Artificial intelligence in cancer imaging: Clinical challenges and applications. CA Cancer J Clin. 2019 03; 69(2):127-157.
    View in: PubMed
    Score: 0.002
  13. 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.
    View in: PubMed
    Score: 0.002
  14. 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.
    View in: PubMed
    Score: 0.002
  15. 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.
    View in: PubMed
    Score: 0.002
  16. Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):380-7.
    View in: PubMed
    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.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.