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Dr. Wael Brahim

Sessional Faculty; Postdoctoral Fellow

W Booth School of Engineering Practice and Technology

Expertise:
Smart Systems, Image Processing , video game development
Areas of Specialization:
Research Clusters:

Overview

I have a Ph.D. degree in computer science. In 2018, I successfully obtained a MIRA Post‐Doctoral Fellowship for our remote breathing monitoring project. This was the first step to many healthcare projects and innovative ideas that improved the quality of life of elder and at-risk patients in the comfort of their homes. My expertise revolves around Computer Vision (CV), Artificial Intelligence (AI), and 2D/3D image processing. My research interests and experiences focus on improving Health care management by developing technologies for routine clinical diagnostics and preventative healthcare.

Publications

Recent

Journal Articles
1. Wael Brahim, Nacim Betrouni, Makram Mestiri, Kamel Hamrouni. (2019). The pleural thickening
approximation from thoracic CT scans. Multimedia Tools and Applications, Springer (Impact Factor 2.31),.
78(10): pp 13033–13046.
First Listed Author
Published,
Refereed?: Yes
Number of Contributors: 4
Editors: Springer
Contribution Percentage: 91-100
Description of Contribution Role: Developed and implemented algorithms capable of segmenting pleural
diseases from a set of CT scans and planning a preoperative gesture.

2. Wael Brahim, Makram Mestiri, Nacim Betrouni, Kamel Hamrouni. (2017). Malignant pleural mesothelioma
segmentation for photodynamic therapy planning. Computerized Medical Imaging and Graphics, Elsevier
(Impact Factor 3.75). 65(1): 79-92.
First Listed Author
Published,
Refereed?: Yes
Number of Contributors: 4
Editors: Elsevier
Contribution Percentage: 91-100
Description of Contribution Role: Developed a computer aided diagnostic system during two months to
automatically locate the tumoral region and estimate the treatment surface that must be illuminated by the
photodynamic therapy

Conference Publications
1. Wael Brahim, Makram Mestiri, Nacim Betrouni, Kamel Hamrouni. (2017). Malignant pleural mesothelioma
segmentation from thoracic ct scans. IEEE. The 3rd International Conference on Advanced Technologies
for Signal and Image Processing (ATSIP), ,
Conference Date: 2017/5
Paper
First Listed Editor
Published
Refereed?: Yes, Invited?: Yes
Number of Contributors: 4
Editors: IEEE
Contribution Percentage: 91-100
Description of Contribution Role: Developed and implemented algorithms capable of segmenting pleural
diseases from a set of CT scans and planning a preoperative gesture.

2. Wael Brahim, Makram Mestiri, Nacim Betrouni, Kamel Hamrouni. (2016). Semi-automated rib cage
segmentation in CT images for mesothelioma detection. IEEE. International Image Processing, Applications
and Systems (IPAS), ,
Conference Date: 2016/11
Paper
First Listed Editor
Published
Refereed?: Yes, Invited?: Yes
Number of Contributors: 4
Editors: IEEE
Contribution Percentage: 91-100
Description of Contribution Role: Implemented a real-time dosimetric system to ensure a uniform light
distribution during the application of the photodynamic therapy