Hadil Abu Khalifeh

Orcid: 0000-0003-1133-3647

Affiliations:
  • Abu Dhabi University, United Arab Emirates


According to our database1, Hadil Abu Khalifeh authored at least 12 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2023
Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers.
Proceedings of the IEEE International Conference on Image Processing, 2023

2021
A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.
Sensors, 2021

A Deep-Learning Framework for the Detection of Oil Spills from SAR Data.
Sensors, 2021

A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Novel Framework for Accurate and Non-Invasive Pulmonary Nodule Diagnosis by Integrating Texture and Contour Descriptors.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma.
Proceedings of the 25th International Conference on Pattern Recognition, 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

A Comprehensive Framework For Accurate Classification of Pulmonary Nodules.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Radiomic-Based Framework for Early Diagnosis of Lung Cancer.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
On The Integration of CT-Derived Features for Accurate Detection of Lung Cancer.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018


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