Amy C. Dwyer
According to our database1,
Amy C. Dwyer
authored at least 15 papers
between 2015 and 2024.
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Bibliography
2024
A New Non-invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
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
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
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
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
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015