Amy C. Dwyer

According to our database1, Amy C. Dwyer authored at least 14 papers between 2015 and 2020.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI.
IEEE Trans. Biomed. Eng., 2019

Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
A Novel CAD System for Detecting Acute Rejection of Renal Allografts Based on Integrating Imaging-markers and Laboratory Biomarkers.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Early Assessment of Acute Renal Rejection Post-transplantation: A Combined Imaging and Clinical Biomarkers Protocol.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Role of Integrating Diffusion Mr Image-Markers with Clinical-Biomarkers For Early Assessment of Renal Transplants.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
A generalized MRI-based CAD system for functional assessment of renal transplant.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
A Promising Non-invasive CAD System for Kidney Function Assessment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A random forest-based framework for 3D kidney segmentation from dynamic contrast-enhanced CT images.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
A novel framework for automatic segmentation of kidney from DW-MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A level set-based framework for 3D kidney segmentation from diffusion MR images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015


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