Medical images contain plenty of information, but some of it remains hidden on standard two-dimensional slice or surface representations. My research mission is to develop image processing methods that extract, filter and present such information in a way that makes it useful in clinical medicine as biomarkers of disease. I want to enable clinicians to see more on images of the adult human brain. This could change the lives of people with dementia symptoms: an earlier and more accurate diagnosis alleviates uncertainty and increases the hope for successful interventions. In the fight against Alzheimer disease and other dementias, biomarkers could accelerate the development of drugs that slow down or prevent disease progress, effectively improving patients' prognosis.
Personal homepage: http://www.soundray.org
et al., 2019, Early limbic microstructural alterations in apathy and depression in de novo Parkinson's disease, Movement Disorders, ISSN:0885-3185
Gryska EA, Schneiderman J, Heckemann RA, 2019, Automatic brain lesion segmentation on standard MRIs of the human head: a scoping review protocol, Bmj Open, Vol:9, ISSN:2044-6055
et al., 2018, Inflammation in the hippocampus affects IGF1 receptor signaling and contributes to neurological sequelae in rheumatoid arthritis, Proceedings of the National Academy of Sciences of the United States of America, Vol:115, ISSN:0027-8424, Pages:E12063-E12072
et al., 2019, Microstructural changes in white and grey matter related to apathy, depression and anxiety in de novo Parkinson's disease patients, 31st Congress of the European-College-of-Neuropsychopharmacology (ECNP), ELSEVIER SCIENCE BV, Pages:S161-S161, ISSN:0924-977X
et al., 2018, Microstructural changes in white and grey matter related to apathy, depression and anxiety in de novo Parkinson's disease patients, International Congress of Parkinson's Disease and Movement Disorders, WILEY, Pages:S674-S674, ISSN:0885-3185