Keynote title: Recent Advances in AI-based Early Detection of Bone Diseases using Simple Radiography

Bio: Mohammed El Hassouni is a full Professor of computer science at the Mohammed V University in Rabat. He received the Ph.D. degree in computer science from the University of Burgundy in 2005. His Ph.D. dissertation concerned the proposition of new method using higher order statistics for video denoising in a severely corrupted environment. He also received the Habilitation degree from Mohammed V University in 2012. He led and participated in several national and international research projects. He supervised more than 15 Ph.D. and Master Students in the area of image & video processing. His current research interests include the modelling and analysis of nD images. Especially, for visual quality assessment and medical imaging. He authored and co-authored numerous original journals and proceeding articles. He serves as a reviewer for major conferences and journals in the field of medical image analysis and pattern recognition. He is a member of IEEE, IEEE Signal Processing Society, INNS Moroccan chapter and several conferences program committee. He co-chaired the COMBI 2017, ACMMIPH 2018, COMBI 2019 and CIVIA 2020 tracks of ACM-SAC and, co-edited different Special Issues (JEI SPIE; “Perceptually Driven Visual Information Analysis”, MTAP Springer; “Advances in Computational intelligence for Multimodal Biomedical Imaging”). In 2024, he is a local co-chair of MICCAI and a general co-chair of IPTA 2024.

Dr Silmani is a a radiology resident in the final year of training and Chief Medical Officer and co-founder of Deepecho. Dr Silmani has a special interest in the application of new computer vision techniques to improving the reliability and reproducibility of fetal ultrasound.

Mercy Asiedu is a research scientist in Responsible AI, at Google Research where she works on using machine learning and generative AI for impact driven research for global health. Before that, she was a Schmidt Science Postdoctoral Research Fellow at MIT working on interdisciplinary research projects using generative AI methods to improve mobile ultrasound imaging. She also worked on projects researching the use of language models to improve comprehension of health notes for breast oncology patients.

She received her PhD in Biomedical Engineering and a certificate in Global health from Duke University. Her dissertation focused on the research and development of a low-cost imaging device and machine learning algorithms to reduce barriers to cervical cancer screening. She has won several awards for her work including the Inaugural Patrick J. McGovern Tech for Humanity Changemaker Awards, the Lemelson-MIT Graduate Student Inventor Award, and Velji Emerging Leader in Global Health award. Additionally, she is a co-founder of GAPHealth Technologies.

She received her bachelor’s degree in Biomedical Engineering from the University of Rochester, and high school degree from Holy Child Secondary School, Cape Coast, Ghana.