Azza M. Al-Khalifa, Mohamed N. Saad, Muhammad A. Rushdi, and A. M. Eldeib, "Multithreaded Haplotype Block Partitioning of Rheumatoid Arthritis Genomic Data", IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, pp 155-156,, Malta, December 7-9, 2023.
Salah, Bibars, M., Eldeib, Ghanem, N., Gharib, Abd-Elmoniem, K.Z., Elattar, M.A., and I. A. Yassine, "Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation Using Fine-Tuning Weak Labels for CT and Structural MRI", Lecture Notes in Computer Science, https://doi.org/10.1007/978-3-031-48593-0_3, vol. 14122, pp. 33–47, 2023.
Bibars, M., Salah, Eldeib, Elattar, M.A., and I. A. Yassine, "Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI", Lecture Notes in Computer Science, https://doi.org/10.1007/978-3-031-48593-0_7, vol. 14122, pp. 96–110, 2023.
Wimpenny, K., F. Nascimbeni, S. Affouneh, A. Almakari, I. M. Jariego, and A. Eldeib, "Using open education practices across the Mediterranean for intercultural curriculum development in higher education", Teaching in Higher Education, https://doi.org/10.1080/13562517.2019.1696298, vol. 27, issue 1, pp. 54–69, 2022.

SBE 304 - Bio-Statistics

Semester: 
Spring

Course Description

Statistics has become an essential part of medical research. This Bio-Statistics course is designed for biomedical engineering introduce the principles of probability and statistics.

Course Learning Objectives

GENN004 - Computers For Engineers

Course Description:

Developing basic concepts of algorithmic thinking to solve problems of relevance in engineering practice and implementing these algorithms using high-level computer language. Using data types, input/output commands, loops, control structures, functions, arrays, and other programming language constructs in a computer program. Evaluating and interpreting the results of programming work.

Intended Learning Outcomes of Course (ILOs):

a) Knowledge and Understanding

Abbas, L., S. Samy, R. Ghazal, A. M. Eldeib, and S. H. ElGohary, "Contactless Vital Signs Monitoring for Public Health Welfare, DOI: 10.1109/JAC-ECC54461.2021.9691452", 2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), 13-14 Dec. 2021, Alexandria, Egypt, Dec. 14, 2021. 2021_jac-ecc_2021_contactless_vital_signs_monitoring_for_public_health_welfare.pdf

CSCI 101 - Introduction to Computer Science

Semester: 
Fall

Course Description

SBE 3130 - Computer Graphics and Biomedical Visualization (2018 Curriculum)

Semester: 
Fall

Course Description:

Introduction to Graphic Devices and their Control - Devices Mapping - Building and Drawing Curves - Parameter Representation of Curves - Clipping Algorithms - Modeling and rendering Surfaces - Transformations in 2D - Transformation in 3D - Introduction of Ray Tracing Techniques - Color Theorem – Applications in Biomedical Visualization.

Learning Outcomes (LOs):

HEMN224 - Computer Graphics & Visualization (HEM Program Curriculum)

Semester: 
Spring

Course Description:

Introduction to Graphic Devices and their Control – Devices Mapping – Building and Drawing Curves – Parameter Representation of Curves – Clipping Algorithms – Modeling and rendering Surfaces – Transformations in 2D – Transformation in 3D – Introduction of Ray Tracing Techniques – Color Theorem. Applications for medical images. Students will use OpenGl, Matlab, vtk as processing tools.

Practical Assignments: Transformations and viewing, Curves and surfaces, Ray casting and tracing, Surface rendering for medical data.