Sharareh Bayat

Orcid: 0000-0001-8329-0805

Affiliations:
  • University of British Columbia, Vancouver, Canada


According to our database1, Sharareh Bayat authored at least 12 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Coarse label refinement for improving prostate cancer detection in ultrasound imaging.
Int. J. Comput. Assist. Radiol. Surg., 2022

Training deep neural networks with noisy clinical labels: toward accurate detection of prostate cancer in US data.
Int. J. Comput. Assist. Radiol. Surg., 2022

Towards targeted ultrasound-guided prostate biopsy by incorporating model and label uncertainty in cancer detection.
Int. J. Comput. Assist. Radiol. Surg., 2022

Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Characterizing The Uncertainty Of Label Noise In Systematic Ultrasound-Guided Prostate Biopsy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Multiple instance learning combined with label invariant synthetic data for guiding systematic prostate biopsy: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2020

Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility Study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.
IEEE Trans. Medical Imaging, 2018

3D tissue mimicking biophantoms for ultrasound imaging: bioprinting and image analysis.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

2017
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations.
Int. J. Comput. Assist. Radiol. Surg., 2017


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