Magnus Borga is a Professor and Vice Dean at the Faculty of Engineering, Linköping University, affiliated with the Department of Medical Technology. His research focuses on Medical Image Analysis , particularly quantitative MRI for non-invasive biomarkers like fat infiltration in organs. He earned an MSc in Applied Physics and Electrical Engineering (1991) and a PhD in Computer Vision (1998), becoming a Professor in 2008. Research centers on automated methods for anatomical and functional imaging analysis, validated against invasive techniques. Key projects include Dixon MRI optimization, radiomics , and body composition profiling for metabolic disorders. Funding includes grants from the Swedish Research Council (VR), Vinnova, and LiU Cancer. Publications highlight trends in fat quantification across diseases, muscle composition in chronic pain, and AI-driven segmentation . Collaborations span the Dallas Heart Study , UK Biobank , and AMRA Medical AB , where he served as CTO. He teaches Neural Networks and Learning Systems at Linköping University.
Johanna Hamel, M.D. serves as Associate Professor of Neurology and Pathology and Laboratory Medicine at the University of Rochester Medical Center's School of Medicine and Dentistry. Specializing in neuromuscular diseases, she directs clinical care for patients with myotonic dystrophy types 1 and 2, FSHD, and other hereditary neuromuscular conditions at the Ambulatory Care Center and Neuromuscular EMG Lab. Her educational background includes an MD from Martin Luther University Halle-Wittenberg (Germany), followed by neurology residency at Charité in Berlin. She completed U.S. training at University of Rochester with internal medicine internship (2012-2013), neurology residency (2013-2016), and dual neuromuscular fellowships (2016-2019). Martin Luther Universitaet Halle Wittenberg (Germany) - MD, 2009 Charite-Universitatsmedizin Berlin - Neurology Residency, 2010-2012 University of Rochester - Internal Medicine Internship, 2012-2013 University of Rochester - Neurology Residency, 2013-2016 University of Rochester - Neuromuscular Fellowship, 2016-2017 University of Rochester - Experimental Therapeutics Fellowship, 2017-2019 Dr. Hamel's research focuses on molecular mechanisms of myotonic dystrophy, disease progression biomarkers, and clinical trial design for muscle diseases. Her recent publications demonstrate expertise in FSHD therapeutics (including the ReDUX4 phase 2b trial), remote disease monitoring, and exercise interventions. She maintains active involvement in clinical trials for DM and FSHD while developing novel electrodiagnostic and imaging biomarkers. Her scientific recognition includes: Clinical Research Training Fellowship in Muscular Dystrophy (2017-2019) Arnold P. Gold Foundation Humanism and Excellence in Teaching Award Scholarship for Young Neuroscientists As an educator, Dr. Hamel trains neurology residents in neuromuscular medicine and electrodiagnostics. Her clinical practice integrates research findings into patient care, with strong emphasis on patient-centered outcomes as evidenced by her PRISM-FSHD study. She maintains active laboratory collaborations investigating RNA splicing defects in myotonic dystrophy pathogenesis.
Sofie Rummens is a Lecturer at the Faculty of Medicine , KU Leuven , affiliated with the Department of Development and Regeneration and the Locomotor and Neurological Disorders unit. Her work focuses on medical imaging, musculoskeletal research, and neurological rehabilitation. Key roles: Lecturer, Co-promoter, Co-supervisor Collaborations: International Society for the Study of the Lumbar Spine, KU Leuven research teams Research interests : Structural and functional analysis of the lumbar multifidus, subsynovial tissue in carpal tunnel syndrome, and comparative studies on foot drop treatments. She utilizes MRI and ultrasound for muscle and nerve assessments. Recent publications : Highlighted by advancements in 3D ultrasound reliability, MRI-based muscle quantification, and clinical trials on surgical vs conservative treatments for nerve-related pathologies. Teaching activities : Involved in courses on Anatomy , Musculoskeletal Rehabilitation , and Clinical Problem-Solving Skills within physical medicine curricula.
Jona Van Den Broeck is a Mandate assistant in the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB), Brussels, Belgium, actively contributing to research in muscle assessment and rehabilitation through advanced imaging techniques. Her work bridges clinical practice and scientific inquiry with a focus on oncology and musculoskeletal health. Education PhD in Muscle Assessment (2025): Advances in muscle assessment with ultrasound and computed tomography: evaluating muscle quantity and quality in cancer patients and healthy adults Master's Thesis (2017): The effect of repetitive playing on muscle activation patterning of the right upper trapezius in conservatory pianists Master's Thesis (2016): Vermindert een krachttrainingsprogramma het risico op blessures bij beginnende lopers? (Does a strength training program reduce injury risk in novice runners?) Research Interests Her expertise centers on quantitative muscle assessment using ultrasound and computed tomography , establishing normative values for clinical application. Key focus areas include: Muscle quantity/quality evaluation in cancer patients (e.g., vertebral muscle variations, cachexia) Development of ultrasound protocols for muscle thickness, cross-sectional area, and echo-intensity Pain management in patellofemoral disorders using dynamic imaging Reliability of field methods for body composition analysis Publication Trends Her 14 publications (2020-2025) reveal escalating output since 2023, predominantly in medical imaging and oncology rehabilitation journals. A clear trajectory shows progression from foundational work on normative values (2020-2022) to clinical applications in cancer (2023-2025), with increasing interdisciplinary collaboration (radiology, nutrition, physiotherapy). Scientific Awards ESPEN 2021 Virtual Congress complimentary registration for abstract on skeletal muscle correlations in cancer patients Advising and Service She has supervised 7 student works including master's theses on bilateral ultrasound measurements and panoramic imaging reliability. As a peer reviewer for Clinical Nutrition ESPEN , Ultrasound in Medicine and Biology , and Scientific Reports , she contributes to scholarly discourse. Her organizational role in the 2024 Body Composition and Medical Imaging Symposium highlights leadership in research dissemination. Research Environment Embedded in VUB's Experimental Anatomy research group, she collaborates with the BODY-CONVERT study team on cancer-related body composition. Her work leverages VUB's imaging facilities for CT and ultrasound analysis, with strong ties to clinical departments in oncology and rehabilitation medicine.
Gottfrid Sjödahl is an Associate Professor and Researcher at Lund University Cancer Centre (LUCC), where he leads the Urothelial Cancer Genomics research group. His work bridges clinical urology and molecular oncology, focusing on bladder cancer subtyping and therapeutic innovation. Research interests include: Molecular taxonomy of urothelial cancers Genomic drivers of bladder cancer progression Tumor microenvironment dynamics Immunotherapy response biomarkers Cost-effectiveness of precision oncology approaches His recent publications demonstrate a strong focus on molecular classification systems (LundTax algorithm), tumor plasticity studies across microenvironments, and immune profiling of bladder cancer subtypes. This work integrates computational biology, clinical oncology, and translational research. Active research projects: Principal Investigator: Molecular subtype-dependent biomarkers for systemic treatment of advanced bladder cancer (Cancerfonden, 2023-2025) Co-supervisor: Cellular and molecular cartography of muscle-invasive bladder cancer (Doctoral project, 2019-2025) He contributes to LUCC's urothelial cancer research initiatives and participates in academic events including cancer genomics seminars and research dissemination activities.
Anna Wiik is a Senior Lecturer at Karolinska Institutet's Department of Laboratory Medicine, specializing in physiology and endocrinology. She has a PhD in Physiology and teaches anatomy, physiology, and related subjects to nursing, occupational therapy, physiotherapy, and biomedical science students. BSc in Molecular Biology PhD in Physiology (2008), Karolinska Institutet Research Focus: Anna studies the effects of sex hormones on peripheral tissues and cardiovascular systems, particularly in transgender individuals undergoing hormone therapy. Her work examines body composition, muscle strength, cardiovascular function, and gene expression changes. Scientific Contributions: Notable publications analyze longitudinal hormonal effects, adipokine secretion, and imaging-based tissue assessments. She collaborates with Karolinska University Hospital's ANOVA clinic on the GETS study. Best Teacher of the Year (2015) Anna develops student-centered learning activities and leads both campus and web-based courses. She emphasizes critical thinking and scholarly teaching practices as a pedagogical promotor.
Linda Berg is an Associate Professor in the Department of Clinical Medicine at UiT The Arctic University of Norway, Tromsø. She is a radiologist whose clinical and research activities center on spinal imaging, degenerative disc disease, and long-term outcomes after lumbar disc replacement surgery. Research Interests Her work integrates advanced imaging techniques—particularly MRI and CT—with clinical outcome data to understand degenerative changes in the lumbar spine. Key themes include: Facet joint arthropathy and its evolution after total disc replacement versus conservative rehabilitation. Reliability and validity of MRI and CT in detecting progressive spinal degeneration. Paraspinal muscle changes (e.g., multifidus fat infiltration) as predictors of surgical and rehabilitative success. Adjacent segment degeneration following disc arthroplasty and its imaging correlates. Publication Trends Berg’s peer-reviewed output (2011–2020) is dominated by prospective and randomized studies comparing surgical and non-operative management of chronic low back pain. Methodologically, she emphasizes longitudinal imaging follow-up and rigorous observer-reliability analyses, providing evidence that informs patient selection and postoperative surveillance protocols. Scientific Distinctions & Funding No specific awards or external funding statements were captured in the provided content. Advising & Collaboration While individual student names are not listed, Berg frequently co-authors with multidisciplinary teams including orthopedic surgeons, radiologists, and rehabilitation specialists—indicative of robust graduate-level supervision and cross-departmental collaboration. Laboratory & Clinical Affiliations She conducts her imaging analyses within UiT’s clinical radiology infrastructure and collaborates closely with the university hospital’s spine surgery and rehabilitation units.
Mikael Forsgren is an Adjunct Associate Professor at Linköping University's Department of Health, Medicine and Caring Sciences (HMV), within the Division of Diagnostics and Specialist Medicine (DISP). His primary role focuses on advancing knowledge in magnetic resonance physics and methodology, particularly in metabolic and chronic liver diseases. He holds a PhD in Medical Science (2017) and an MSc in Engineering Biotechnology (2011), both from Linköping University. His research emphasizes MRI-based body composition analysis, linking it to disease progression, treatment efficacy, and risk stratification in conditions like steatotic liver disease, cirrhosis, and liver transplantation. He also explores muscle composition in fibromyalgia, COPD, and physical exercise. Forsgren collaborates with industry through CMIV, a university-linked company, and contributes to teaching in MRI physics and clinical hepatology courses. Recent articles highlight his work on metabolic flexibility in transplant recipients, muscle composition in end-stage liver disease, and fibromyalgia biochemistry. His projects include the ACCESS-ESLD and EPSONIP studies, focusing on liver disease biomarkers and metabolic profiling. Forsgren’s expertise spans MRI innovation, clinical applications, and interdisciplinary collaborations with global institutions. He has no listed scientific awards but maintains active roles in academic and industrial research. His work bridges clinical and technical advancements in MRI to improve diagnostic and therapeutic strategies for chronic diseases.
Edward J. Miller, MD, PhD is a Professor of Medicine and Radiology & Biomedical Imaging at Yale School of Medicine. Currently serving as Vice Chief of Cardiovascular Medicine (Education) and Director of the Nuclear Cardiology Lab at Yale-New Haven Hospital, he leads the Cardiology Fellowship Program while maintaining active research in infiltrative cardiomyopathies like cardiac sarcoidosis and amyloidosis. BS - University of Notre Dame, Preprofessional Studies (1994) MD - Loyola-Stritch School of Medicine (1999) PhD - Yale, Investigative Medicine (2008) His work integrates nuclear cardiac imaging with artificial intelligence to improve diagnosis accuracy and treatment response monitoring. Recent studies focus on AI-enhanced body composition analysis from CT scans, race/sex-specific epicardial fat thresholds, and HEART score automation using GPT-4 technology. As a NIH/NHLBI K08 award recipient and Alpha Omega Alpha inductee, Dr. Miller has received multiple honors including the American College of Cardiology Fellowship and American Society of Nuclear Cardiology Fellowship . His military service includes two national awards from the United States Navy. Contact: edward.miller@yale.edu | 203.785.7191 (Clinical) | PO Box 208017, New Haven, CT 06520-8017
Gerhard Adam is a Professor and Director of the Department of Diagnostic and Interventional Radiology and Nuclear Medicine at the University Medical Center Hamburg-Eppendorf (UKE), which is affiliated with the University of Hamburg's Faculty of Medicine. With extensive expertise in radiology, he leads clinical and research activities in diagnostic and interventional radiology, focusing on advanced imaging techniques including spectral CT, 4D flow MRI, and nuclear medicine applications. His research interests encompass cardiovascular imaging, oncological radiology, liver imaging, and musculoskeletal diagnostics. Professor Adam has made significant contributions to the field of radiology with over 600 publications, particularly in the areas of 4D flow MRI applications, spectral CT techniques, and interventional radiology procedures. His work spans from technical development of imaging modalities to clinical applications across multiple organ systems. Analysis of his recent publications reveals a strong focus on quantitative imaging biomarkers, with particular emphasis on dual-energy CT applications, cardiac MRI in various disease states, and advanced techniques for tissue characterization. His research demonstrates a consistent trajectory toward more precise, quantitative imaging approaches that bridge diagnostic and therapeutic applications. Awards mentioned in his CV (specific details not provided in source material) Professor Adam's work demonstrates significant impact on clinical radiology practice, particularly in developing and validating advanced imaging techniques for cardiovascular, hepatic, and oncological applications. His research collaborations span multiple medical specialties, reflecting the interdisciplinary nature of modern medical imaging. The Department of Diagnostic and Interventional Radiology and Nuclear Medicine under his leadership serves as a major referral center for complex imaging and interventional procedures.
Kieren Hollingsworth is a researcher at Newcastle University, specializing in advanced medical imaging techniques (particularly MRI ) to study metabolic disorders and neuromuscular diseases . His work focuses on the interplay between liver fat , cardiac function , and diabetes remission through interventions like weight loss and exercise therapy . Key research areas: Diabetes Pathophysiology , Cardiac MRI , and Neuromuscular Imaging Collaborated on landmark studies like the DiRECT trial (diabetes remission), 19F-MRI ventilation imaging , and mitochondrial function in aging His scientific publications (2013–2025) cover topics such as: Hepatic steatosis and pancreatic fat in diabetes Cardiac dysfunction in non-alcoholic fatty liver disease MRI quantification of muscle and fat infiltration in muscular dystrophy Exercise interventions for metabolic improvement 19F/23Na-MRI for pulmonary and muscle function assessment
Professor Noam Ben-Eliezer is a faculty member in the Department of Biomedical Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. He also holds an adjunct position as Assistant Professor of Radiology at the Center for Advanced Imaging Innovation and Research (CAI2R) and is affiliated with the Sagol School of Neuroscience. His research laboratory focuses on developing and applying advanced MRI techniques for biomedical applications. Prof. Ben-Eliezer's work resides at the interface between developing novel methodologies for non-invasive quantitative MRI and their application for investigating tissue structure and function. His research spans multiple areas including: Design of new quantitative and microstructural MRI protocols Deep learning networks for clinical data processing MRI image denoising techniques Accelerated acquisition schemes Customized signal processing algorithms Presurgical EEG analysis in epilepsy patients His laboratory is particularly focused on characterizing the myeloarchitecture of the central nervous system to understand neurodegenerative demyelinating diseases, especially multiple sclerosis. Applications extend to Multiple Sclerosis, personalized cancer treatment, Schizophrenia, Insomnia, Psychedelics in medicine, Muscular Dystrophy, and Neuromuscular diseases. Prof. Ben-Eliezer's recent publications demonstrate a strong trend toward developing more accurate, faster MRI techniques with increasing incorporation of machine learning approaches. Much of his work centers on quantitative T2 mapping across various clinical conditions, particularly in neurology and orthopedics. The Lab for Advanced MRI maintains multiple research projects including myelin quantification, T2 mapping, acceleration techniques, multiple sclerosis pathophysiology, adipose tissue characterization, and deep learning for image segmentation. The lab has developed several software tools available for download, including the EMC platform for quantitative MRI analysis, and continues to push MRI technology boundaries for scientific and clinical applications.
Paulo Loureiro de Sousa is a CNRS Research Engineer with a Habilitation to Supervise Research (HDR) at the University of Strasbourg. He serves as Operational Manager of the Human Neuroimaging division of the IRIS platform and is a former President of the French Society of Magnetic Resonance in Biology and Medicine (SFRMBM). His research focuses on quantitative MRI (qMRI) methodological development and clinical/preclinical biomarker discovery. Education: Habilitation to Supervise Research (HDR), University of Strasbourg (2018) Ph.D. in Physics/NMR, Universidade de Pernambuco (1999) M.Sc. in Medical Physics, Universidade de São Paulo (1995) B.Sc. in Physics, Universidade de São Paulo (1993) His work bridges MRI methodology (multi-parametric imaging, signal modeling, rapid imaging) with clinical applications in neuromuscular disorders and brain imaging. Publications emphasize technical advancements in T2 mapping, SSFP sequences, and UTE imaging for tissue characterization in neurological and muscular diseases. De Sousa supervises research theses in quantitative MRI, with completed theses on myelin imaging, neuromuscular disorders, and catatonia. His professional background spans institutions in France (CNRS, CEA, University of Paris-Sud) and Brazil (UFPE, USP), with expertise in NMR, MRI sequence development, and clinical research translation.
Dr. Dongli Liu is a Research Fellow in the School of Clinical Medicine at the Lowy Cancer Research Centre , University of New South Wales (UNSW Sydney) . She specializes in gynaecologic oncology , focusing on ovarian cancer , endometrial cancer , and biomarker discovery through advanced preclinical models and next-generation sequencing (NGS) techniques. Grants: UNSW 3Rs Grant (2024), Endometriosis Australia Project Grant (2021), MAZDA Foundation Grant (2022), UNSW EMCR Seed Grant (2023), UNSW Medicine ECAN-Ramaciotti Centre ECR Grant (2022) Awards: WHRTN Emerging Leaders Fellowship (2025), ANZGOG Best Poster Award (2023), ANZGOG Abstract Award (2022), GEDDA Award (2017), Chinese Government Award (2016) Her research integrates molecular biology with bioinformatics , particularly through patient-derived primary cell culture and organoid models . Her recent publications analyze deep learning approaches for cancer cell identification, 2D/3D model comparisons , and ROR1/ROR2 targeting in gynaecological cancers. She currently supervises 3 postgraduate researchers (1 Honours, 2 PhD candidates).
Manuel Perez Alonso is a full Professor in the Department of Genetics at the Faculty of Biological Sciences, University of Valencia. He is a principal investigator in the Human Translational Genomics research group (GT) and affiliated with the University Institute of Biotechnology and Biomedicine (BIOTECMED). His work integrates molecular genetics, RNA biology, and therapeutic development for neuromuscular disorders. Research Interests: Dr. Perez Alonso's research focuses on the molecular mechanisms of myotonic dystrophy, particularly the role of toxic CUG/CCUG RNA repeats and their impact on splicing regulation via MBNL proteins. He employs Drosophila , mouse, and human cell models to study disease pathogenesis and to develop novel therapeutic strategies, including antagomiRs, peptide-based inhibitors, and small molecules. His work bridges basic science and clinical applications in genomic medicine. The recent publications highlight a consistent trend toward translational therapeutics, with a strong emphasis on RNA-targeted interventions , in vivo validation in multiple models, and functional rescue of splicing defects. Key themes include microRNA modulation, peptide delivery, and in silico drug discovery, reflecting a multidisciplinary approach to treating myotonic dystrophy. Scientific Contributions: Extensive publication record in RNA biology and genetic disease models. Pioneering use of Drosophila for high-throughput drug screening in myotonic dystrophy. Contributions to preimplantation genetic diagnosis (PGD) and molecular diagnostics. Leadership in the Human Translational Genomics group at BIOTECMED. Advising and Grants: While specific students and grant details are not listed in the provided text, his long-standing research group and continuous publication output suggest active mentorship of graduate students and postdoctoral researchers, as well as sustained funding for his work in genetic disease mechanisms and therapy development. Laboratories and Teams: Dr. Perez Alonso leads the GT Human Translational Genomics group at the University of Valencia, operating within the BIOTECMED institute. His team utilizes a combination of molecular genetics, cell biology, and bioinformatics to investigate RNA toxicity and develop therapeutic strategies for myotonic dystrophy.
