Tarek Eldiasty

According to our database1, Tarek Eldiasty authored at least 12 papers between 2005 and 2017.

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

Timeline

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PhD thesis 
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Links

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Bibliography

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

2013
Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection.
IEEE Trans. Medical Imaging, 2013

2006
Appearance Models for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A New Adaptive Probabilistic Model of Blood Vessels for Segmenting MRA Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A framework for the detection of acute renal rejection with dynamic contrast enhanced magnetic resonance imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Image Analysis of Renal DCE MRI for the Detection of Acute Renal Rejection.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Probabilistic Modeling of Blood Vessels for Segmenting MRA Images.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fast Unsupervised Segmentation of 3D Magnetic Resonance Angiography.
Proceedings of the International Conference on Image Processing, 2006

2005
Quantitative Nodule Detection in Low Dose Chest CT Scans: New Template Modeling and Evaluation for CAD System Design.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2D and 3D Shape Based Segmentation Using Deformable Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005


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