About Imagilys

Focus

Advanced Brain Imaging, Biomarkers, and Neurosurgical Planning.


Mission

Imagilys brings the most advanced brain imaging techniques from bench to bedside. Through our neuroimaging software suite, BrainMagix, we help our customers to improve the diagnosis and to optimize the treatment of the most severe neurological diseases.


Leadership

Laurent Hermoye, PhD

CEO

Laurent Hermoye

After graduating as an electrical engineer, doctor of medical sciences, and bachelor of business administration, Laurent founded Imagilys, a company specializing in advanced brain imaging, biomarkers, and neurosurgical planning.

He has more than 15 years of experience in brain imaging. He has conducted research studies, co-authored publications with pioneers in his field, and taught neuroimaging techniques all over the world.

Laurent serves as CEO of Imagilys. The company's neuroimaging software suite, BrainMagix, has helped thousands of patients. Over the last 12 years, Laurent has led Imagilys from its first sales to concluding long-term agreements with world-class players in the medical industry. Read more...

Wojciech Gradkowski, MS

Chief Technology Officer

Wojciech Gradkowski

Wojciech graduated as a biomedical engineer from Warsaw University of Technology in Poland. Since 2005, he has served as Chief Technology Officer (CTO) of Imagilys.

He is the architect and the main developer of BrainMagix, one of the most advanced clinical neuroimaging software programs on the market. His expertise covers a wide range of skills: software architecture and design, medical image processing, advanced brain imaging, algorithm optimization, and graphical user interface design. Imagilys' developments are carried out in constant interaction with physicians and medical device manufacturers. They follow the strict requirements applicable to the medical device industry.

Wojciech has co-authored several papers and conference abstracts on subjects related to neuroimaging, including artificial intelligence-based research on dyslexia (Płoński et al. Hum Brain Mapp. 2017), neuroimaging biomarkers for Alzheimer’s disease (Hermoye et al. RSNA 2016), and an fMRI-based study of motor skills rehabilitation after a stroke (Lefebvre et al. Brain 2015).



Scientific Advisory Board

Steven Laureys, MD, PhD

Steven Laureys

Steven Laureys is a Belgian neurologist, head of the Coma Science Group and Professor at Liege University. With more than 100 publications in top-level journals (The New England Journal of Medicine 2010, Science 2006, Nature Reviews Neuroscience 2005, The Lancet 2000, etc.), he is recognized worldwide as the leading scientist and clinician in the field of neurology of consciousness, with a special focus on patients in brain death, coma, vegetative state, MCS and locked-in syndrome. He is an expert for the media, explaining these states of consciousness to the general public worldwide, and an invited speaker at the most prestigious venues (e.g., The Nobel Forum, 2010).


Luaba Tshibanda, MD

Luaba Tshibanda

Luaba Tshibanda is a neuroradiologist, head of the department of neuroimaging at Liege University Hospital, and professor of neuroradiology. He is specializing in advanced imaging modalities, especially in diffusion tensor imaging and spectroscopy in patients with disorders of consciousness. He is a member of Prof. Laureys' Coma Science Group and a co-author of their most significant publications in neuroimaging (e.g., The New England Journal of Medicine 2010).


Jacques-Donald Tournier, PhD

Dr. Jacques-Donald Tournier

Jacques-Donald graduated as a physicist from University of Cambridge. He completed his PhD in 2003 at University College London's Institute of Child Health. In 2005, he joined the Brain Research Institute in Melbourne, Australia. In 2013, he joined the Department of Biomedical Engineering at King's College London, working as a Senior Lecturer within the Department of Perinatal Imaging and Health. His work is focused on the development and application of diffusion MRI methods, particularly those that relate to the characterisation of brain white matter and its connectivity.

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