Advisory Board and Editors Radiology & Medical Imaging

Journal Factsheet
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Jyrki Ahveninen

Dr. Jyrki Ahveninen is Associate Professor of Radiology, Massachusetts General Hospital/Harvard Medical School Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology. His work focuses on neuroimaging of human auditory system, auditory working memory and higher-order auditory cognition using techniques including fMRI, MEG/EEG and TMS/EEG.

Hazrat Ali

Hazrat Ali is a researcher in Artificial Intelligence and Healthcare. He served as an Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad. His research interests lie in unsupervised learning, generative and discriminative approaches, medical imaging and speech and image processing. He has published more than 50 research articles in peer-reviewed journals and conferences. He is an Associate Editor at IEEE and served as a reviewer at many journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IET Signal Processing, Springer Neural Processing Letters, ACM Transactions on Asian and Low Resource Language Information Processing, Elsevier Computers and Electrical Engineering, ACL 2020, MICCAI 2020. He was selected as young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He was selected as a fellow of the DAAD AI-Networking Fellowship Tour 2021.

Søren M Bentzen

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.

Kevin J. Black

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

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).

Vince Calhoun

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.

Richard Dortch

Richard Dortch, PhD, is an associate professor of imaging research in the Neuroimaging Innovation Center in the Department of Translational Neuroscience at Barrow Neurological Institute.

Dr. Dortch’s expertise includes radiological sciences and biomedical engineering. He is a member of the American Academy of Neurology and the International Society for Magnetic Resonance in Medicine.

Dr. Dortch earned his master’s and doctorate degrees in biomedical engineering from Vanderbilt University in Nashville, Tennessee. He completed a postdoctoral research fellowship in the Department of Radiology and Radiological Sciences at Vanderbilt University Medical Center, where he served as assistant professor before joining the faculty at Barrow in 2019. His research has been funded through the National Institutes of Health and the Department of Defense.

Dr. Dortch’s research interests include developing, optimizing, and validating quantitative MRI methods for neuroimaging applications beyond the brain. More specifically, Dr. Dortch focuses on developing MRI methods to overcome specific challenges of nerve and spinal cord imaging, translating these methods to clinical populations (e.g., to guide surgery, improve diagnostics, and serve as biomarkers of therapeutic response), and validating these methods in relevant preclinical models. He applies these methods to evaluate the pathological underpinnings (e.g., demyelination, axonal degeneration) of nerve and spinal cord trauma, peripheral neuropathies, and multiple sclerosis. Dr. Dortch was instrumental in Barrow gaining admission to the North American Imaging in MS Cooperative (NAIMS).

Bruno Fionda

Dr. Fionda graduated in Medicine and Surgery and subsequently specialized in Radiotherapy at the Catholic University of the Sacred Heart in Rome. He started working in 2016 at Gemelli-ART (Advanced Radiation Therapy) in Rome dealing with special techniques, such as Surface Guided Radiotherapy (SGRT) which uses specific light sources to monitor the patient’s surface during therapy. Dr. Fionda worked with the first hybrid machine installed in Italy that combines modern linear accelerators (LINAC) with the acquisition of magnetic resonance images allowing to follow the movement of the internal organs in real time. He has also gained long experience in interventional radiotherapy (brachytherapy) with both high dose rate (HDR) and pulsed dose rate (PDR).

Dr Fionda is a member of the Italian Association of Radiotherapy and Clinical Oncology (AIRO) and of the European Society for Radiotherapy and Oncology (ESTRO). He is the author of over 100 publications including conference abstracts and research articles on national and international journals, and is adjunct Professor of Radiation Oncology at Saint Camilus International University of Healh Sciences.

Liang Gao

Dr. Liang Gao currently works as a senior Research Fellow at the Center of Experimental Orthopaedics, Saarland University, Germany. His clinical interests include sports medicine, arthroplasty, and traumatology. His research focuses on joint preservation and orthobiologics.

Dr. Gao studied Medicine in China and Germany with intensive fellowship training in both Asia and Europe. He completed the Musculoskeletal Surgical Oncology residency training at Peking University Medical Center, China. Moreover, he obtained his master of science degree (Radiation Oncology) from Heidelberg University, Germany and his doctorate (Biological Therapy) summa cum laude from Saarland University, Germany.

Dr. Gao is the Member of the Basic Science Committee of International Cartilage Regeneration & Joint Preservation Society (ICRS), the Member of the Early Career Investigator Committee of Osteoarthritis Research Society International (OARSI), and the Founding Member of the Sino Euro Orthopaedics Society (SEOS).

Nikolaos Gkantidis

Nikolaos Gkantidis is since 2016 a full-time Senior staff member at the Department of Orthodontics and Dentofacial Orthopedics, University of Bern, Switzerland, from where in 2018 he received the Venia Docendi (Privatdozent) title.

Dr. Gkantidis graduated in 2006 from the Dental School of the Aristotle University of Thessaloniki, Greece and followed afterwards a combined Master of Science and Orthodontic specialty program at the University of Athens, from where he graduated with honours in 2010. From 2010 to 2016 he ran a private practice in Thessaloniki. In 2013, he completed his doctoral studies at the Molecular biology lab of the Department of Orthodontics, in Bern.

From 2012 to 2016 he was a part-time staff member of the Department. In 2022, he obtained a PhD degree from the University of Groningen, the Netherlands.

Dr. Gkantidis has published several original research papers and established various national and international collaborations in his main research areas of interest, including the development and utilisation of craniofacial 3D imaging techniques in clinical research and practice, the perceived effects of various treatments on facial attractiveness, and the utilisation of geometric morphometric techniques to investigate factors affecting the craniofacial shape and size. For his innovative work he has received national and international grants and awards.

Jeonghwan Gwak

Dr. Jeonghwan Gwak received his Ph.D. degree in Machine Learning and Artificial Intelligence from Gwangju Institute of Science and Technology, Gwangju, Korea in 2014. From 2002 to 2007, he worked for several companies and research institutes as a Researcher and a chief technician. From 2014 to 2016, he worked as a Postdoctoral Researcher in GIST, and from 2016 to 2017 as a Research Professor. From 2017 to 2019, he was a Research Professor in Biomedical Research Institute & Department of Radiology at Seoul National University Hospital, Seoul, Korea. From 2019, he joined Korea National University of Transportation (KNUT) as an Assistant Professor and since 2021, he is an Associate Professor. He is the Director of the Algorithmic Machine Intelligence laboratory. His current research interests include deep learning, computer vision, image and video processing, AIoT, fuzzy sets and systems, evolutionary algorithms, optimization, and relevant applications of medical and visual surveillance systems.

Henkjan J. Huisman

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.