Training: Dentistry, Biomedical Research, Bioengineering, Pathology
Postdoctoral: TGF-beta, wound healing, regeneration, radiation biology, light biology, stem cells, biomaterial, Lasers.
Current: Clinical translational research and molecular mechanism.
Positions: Past-President, NAALT; President-Elect WALT, Co-Chair SPIE, Chair, ASLMS
Interests: Signal Transduction, Lasers, Biological regulation, Photobiomodulation.
Professor, Director of the Division of Biostatistics & Medical Informatics, Department of Epidemiology and Public Health, University of Maryland - Baltimore. Adjunct professor University of Copenhagen, Denmark. 20+ awards and honors incl. ESTRO Gold Medal, MD Anderson Distinguished Alumnus Award, Honorary Life member Assoc. of Radiation Oncologists of India & Belgian Soc. for Therapeutic Radiology and Oncology. 370+ publications, H-index 62 Web of Science.
I am a movement disorders neuropsychiatrist. My research is primarily focused on neuroimaging and dopamine, especially in people with Tourette syndrome and Parkinson disease. I have also developed methods for structural imaging volumetry, analysis of brain images in nonhuman species, pharmacological fMRI (phMRI), and statistical analysis of anatomy-function relationships in deep brain stimulation (DBS).
Tom Bourne is Adjunct Professor & Research Team Leader in Dept of Surgery & Cancer, Imperial College London & Visiting Professor, KU Leuven, Belgium. He is Consultant Gynaecologist at Queen Charlotte’s & Chelsea Hospital, London. He is an authority in early pregnancy complications, emergency gynaecology & gynaecological ultrasound.
He has edited 7 books, published >300 papers & been invited to speak at numerous international meetings. His H-index is 44 (Web of Science) & 68 (Google Scholar). He is on the Board & is Treasurer of the International Society for Ultrasound in Obstetrics & Gynecology, President of the Association of Early pregnancy units, & Trustee of the Ectopic Pregnancy Trust. He is chair of the early pregnancy clinical studies group & sits on the research committee at the Royal College of Obstetricians & Gynaecologists. He is on the steering committee of International Ovarian Tumor Analysis trial. He sat on the Society of Radiologists in Ultrasound panel developing guidelines for diagnosing miscarriage in the USA (2012), the American Institute of Ultrasound in Medicine guidelines panel for diagnosing ovarian cancer(2014), and the American College of Radiology committee for ovarian cancer diagnosis(2016).
2002 Radiology Staff at the Erasmus University Medical Center (EMC) of Rotterdam, NL
2005 PhD in Cardiac Imaging at the EMC, Rotterdam, NL
2006-2011 Head of Cardiac Imaging at the Academic Hospital, Parma, IT
2011-2015 Head of Cardiac Imaging at the Giovanni XXIII Clinic, Monastier, IT
2012 UHD-Associate Professor of Radiology at EMC, Rotterdam, NL
2015 Director CT Core Lab at Montréal Heart Institute/Université de Montréal, Canada
2015 Associate Professor of Radiology at Montréal Heart Institute/Université de Montréal, Canada
Author of ~900 publications: 12 books, 86 book chapters, 347 scientific papers, >260 oral presentations, and >260 posters (h-index = 59).
Dr. Calhoun is currently Executive Science Officer at the Mind Research Network and Professor in the Departments of Electrical and Computer Engineering at the University of New Mexico. He is the author of over 250 full journal articles and over 350 conference proceedings. His focus is the development of data driven approaches for the analysis of brain imaging data, data fusion of multi-modal imaging and genetics data, and the identification of biomarkers for disease.
Ferdinand Frauscher is Associate Professor of Radiology, appointed at the faculty of the Medical University Innsbruck in 1993. At Medical University Innsbruck, Austria, he was Head of the Division of Uroradiology and Head of Research. Currently he is Head of Prostate Imaging Centre in Igls. He is one of the leaders in the field of Uroradiology, especially focussing on prostate imaging. He has carried out extensive research on the role of ultrasound in prostate cancer detection.
Dr. H.J. Huisman received his Ph.D. in quantitative medical ultrasound in 1998 at the Radboud University Medical Center, Nijmegen, The Netherlands. He continued his research in quantitative MR and ultrasound in breast and prostate resulting in several publications, clinical applications and a patent on a Pharmacokinetic DCEMR processing. He started a research group in 2004 on Computer Aided Diagnosis and Intervention of prostate cancer focussing on computerized support systems for interpretation of multiparametric MR and MRL as well as image guided biopsy and intervention. Since June 2017 he is an Associate Professor in Pelvic Imaging Biomarkers. He has published over 100 papers and book chapters and has co-organized several workshops/challenges on prostate MR image analysis.
Research interests include the use of image processing and machine learning techniques for medical image analysis and retrieval, imaging for radiation therapy, survival analysis for cancer, information retrieval, and statistical modeling.
Associate Professor of Radiology
2014 Elected Member - Lewy Body Disease Association Scientific Advisory Council
2012 Elected Secretary of the Psychiatric MR Spectroscopy and Imaging Study Group -
International Society of Magnetic Resonance in Medicine
2008 Dorothy Dillon Eweson Lecture Series Award - American Federation for Aging Research
2008 Excellence Through Teamwork Award - Mayo Clinic
2007 Beeson Award - National Institute on Aging, American Federation of Aging Research, John Hardford Foundation, Atlantic Philantropies, and Starr Foundation
2005 Multidisciplinary Clinical Research Development Award (NIH K12 Roadmap Initiative) - Clinical Research Scholars Program
2004 New Investigator Award - Alzheimer's Association
Associate Professor at the Mind Research Network; Adjunct Assistant Professor at the Department of Electrical and Computer Engineering, University of New Mexico. Our MRN lab focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data.
Feng Liu received his Ph.D. degree from the School of Life Science and Technology, University of Electronic Science and Technology of China and went on to work in the Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, China. Now he is an associate professor and his current research interests include Brain and Cognition, Magnetic Resonance Imaging, Imaging Genetic and Multivariate Pattern Analysis.
Current research focuses on investigating the impact of the environmental factors (e.g., green space, PM 2.5, etc) on human brain measured by magnetic resonance imaging