This Study Day (jepm) includes a practical tutorial in medical imaging
(Deep Learning and Artificial Intelligence).
To register for this worksop, please click HERE.
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Short Abstact
Deep Learning is an unprecedented technological advance in the field of AI. Sometimes called a connectionist approach (because it is made up of connected neural networks), deep learning consists of teaching a machine to perform tasks (for example: recognizing objects in images) by training it on data from the area concerned (for example, images that include cars). Deep Learning consists of algorithms that detect and process huge volumes and complex data structures. The artificial neural network resembling human thought learns from examples (experiences) and adapts to new and current information.
Many applications then emerged and many fields then called on this new technology (medicine, biology, botany, agriculture, chemistry, physics, etc.). We are still far from the empire of machines, but Deep Learning has achieved impressive results today and still holds many advantages. However, it is the man who continues to carry out the essential work and to program these intelligent machines which will very likely replace him.
In this seminar, we present the genesis of AI from the first seed sown by Alain Turing to the cutting-edge technology of machine learning (Deep Learning). Following this, we will discuss some applications where Deep Learning has helped to provide solutions to complex problems such as medicine, biology, agriculture, etc.
Key words :
Artificial Intelligence, Machine Learning, Deep Learning, Signal and Medical Imaging, Transformers, Attention Models
Short Biography
Pr Abdelouheb MOUSSAOUI is a teacher/researcher at Ferhat Abbas University of Sétif, Algeria where he obtained the rank of full professor (Full Professor) in 2011. He obtained his degree in computer engineering in 1991 from the Department of Computer Science from the University of Sciences and Technologies of Houari Boumediene (USTHB), Algeria. He also obtained a master's degree in space engineering in 1992 from the University of Science and Technology of Oran (USTO). He also obtained a master's degree in artificial intelligence in 1995 from the University of Sidi Belabbes, Algeria and a doctorate in artificial intelligence & medical imaging from the University Ferhat Abbas, Algeria in 2005, where he obtained a full professor status in computer science. .
It is referenced in several Springer and Elsevier journals. His research focuses on the areas of machine and deep learning, clustering algorithms and multivariate image classification applications in the biological and medical fields. His current research focuses on supervised and unsupervised deep learning applied to biomedical image segmentation and bioinformatics. He has also worked for a long time on pattern recognition algorithms, the exploration of complex data and the analysis of physiological signals (EEG, ECG, MEG, etc.) and medical images (MRI, PET, X-Ray, etc.).