Researcher of the month

Dounia Mulders received the M.Sc. degree in Mathematical Engineering in 2016 and the Ph.D. degree in Engineering Science and Technology in 2020, both from UCLouvain. During her Ph.D., she worked on the design of experimental paradigms and signal filtering algorithms to probe thermal perception and associated brain responses in humans. She is now a Postdoctoral Research Fellow in the Fiete Lab at MIT, in the Department of Brain and Cognitive Sciences and the McGovern Institute. Her core research interests currently lie in exploring the computational principles governing sensory perception, using statistical models and artificial neural networks. Computational methods for EEG recordings during periodic sensory stimulation Understanding how the human brain processes sensory stimuli remains challenging. For this purpose, brain responses elicited by brief stimuli and recorded with scalp electroencephalography (EEG) have been widely considered. Besides, much less is known about the dynamics of EEG responses and subsequent...

Bernard Hanseeuw is a behavioral neurologist conducting research on early Alzheimer’s disease with the aim of better caring for patients with or at-risk for memory decline. He graduated with an MD (2007), PhD (2012) from Université Catholique de Louvain. He then completed a post-doctoral research fellowship in Reisa Sperling’s lab at Harvard Medical School (Boston, USA) from 2014 to 2017. He is now Deputy Head of the Memory Clinic at Saint-Luc University Hospital. He also holds the positions of clinical Associate Professor at UCLouvain and Instructor in Radiology at Harvard University. His research, supported by the National Fund for Scientific Research (FNRS), the Queen Elizabeth Medical Foundation (FMRE), the Belgian Foundation for Alzheimer’s Research (SAO-FRA), the Fondation Saint-Luc and Fondation Louvain, was awarded several prizes including: the ‘Horlait Dapsens’ and ‘Baron Simonart’ Foundations, ‘Prix d’excellence 2018 de la Société Française de Neurologie’ and the ‘Santkin Prize of the Belgian Royal Academy of Medicine’. Dr. Hanseeuw directs the Louvain Aging Brain...

Jean Léger received his Electrical Engineering Master’s degree from UCLouvain in 2016. He is currently F.R.S.-FNRS Research Fellow completing a PhD under the supervision of Prof. B. Macq and Prof. C. De Vleeschouwer. His research focuses on image segmentation with deep learning for biomedical applications. In such applications, datasets are often “imperfect” since annotations (and sometimes also data) required for supervised learning are hard to collect. Hence, the annotations are often scarce and/or noisy. DEEP LEARNING-BASED SEGMENTATION OF MINERALIZED CARTILAGE AND BONE IN HIGH-RESOLUTION MICRO-CT IMAGES One of Jean’s research projects aims at automatically segmenting mineralized cartilage from bone in micro-CT images (collaboration with Prof. G. Kerckhofs). Because of its function of mediating load between very dissimilar tissues, the bone-to-tendon interface is a common site of injury. However, in case of such injury, the natural tissue is not regenerated after healing. Instead, it is replaced with a so-called scar...

Pietro Maggi is a neurologist at the Cliniques universtaires Saint-Luc affiliated to the Institute Of NeuroScience at UCLouvain. He is particularly interested in improving the diagnosis and prognosis of brain and spinal cord inflammatory diseases using advanced imaging techniques.   IMPROVING THE DIFFERENTIAL DIAGNOSIS OF MULTIPLE SCLEROSIS USING ADVANCED IMAGING (more…)...

Eliott Brion has a master degree in Applied Mathematics jointly from UCLouvain and CentraleSupélec. He is currently pursuing the Ph.D. in Applied Science with UCLouvain, with a focus on deep learning for radiotherapy, supervised by Prof. B. Macq and Prof. J. Lee. MEASURING ANATOMICAL VARIATIONS BETWEEN RADIOTHERAPY TREATMENT SESSIONS TO IMPROVE DOSE CONFORMITY (more…)...