Silvia D. Chang

According to our database1, Silvia D. Chang authored at least 26 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Semi-supervised learning from coarse histopathology labels.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

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
A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy.
Medical Image Anal., 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

2016
Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.
IEEE Trans. Medical Imaging, 2015

Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.
IEEE Trans. Medical Imaging, 2015

Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study.
IEEE Trans. Medical Imaging, 2015

Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2015

A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.
Comput. Medical Imaging Graph., 2015

A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Prostate cancer detection from model-free T1-weighted time series and diffusion imaging.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Registration of Whole-Mount Histology and Volumetric Imaging of the Prostate Using Particle Filtering.
IEEE Trans. Medical Imaging, 2014

Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Motion and deformation compensation for freehand prostate biopsies.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Filter-Based Speckle Tracking for Freehand Prostate Biopsy: Theory, ex vivo and in vivo Results.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014

2013
Model-Based Registration of Ex Vivo and In Vivo MRI of the Prostate Using Elastography.
IEEE Trans. Medical Imaging, 2013

Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013


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