جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• MRI Reconstruction
• Real-Time MRI
• +۴ مورد دیگر

Martin Uecker is a Professor at the Institute of Biomedical Imaging at TU Graz. His research focuses on advanced MRI reconstruction techniques, real-time imaging, and open-source software tools like the Berkeley Advanced Reconstruction Toolbox (BART). He specializes in developing methods for fast and accurate medical imaging, including applications in cardiac MRI, fetal brain imaging, and disease monitoring. His work emphasizes reproducibility, quantitative imaging, and clinical translation. Key research areas include generative models for MRI reconstruction, model-based inversion of the Bloch equations, and interactive real-time MRI systems. His team collaborates on projects involving hardware-software integration, such as portable MRI scanners and MRI-guided interventions. Notable contributions include advancements in multi-echo radial FLASH techniques, motion-resolved T1 mapping, and Bayesian uncertainty estimation in imaging. Uecker’s publications highlight innovations in accelerating MRI acquisition and reconstruction, with applications in pulmonary function assessment, neonatal imaging, and cardiovascular diagnostics. His work bridges theoretical physics, computational methods, and clinical practice, fostering open-source frameworks to democratize access to cutting-edge imaging tools.

Szymon Cyganمشاهده پروفایل

استادیار

• Strain Imaging Methods for Echocardiography
• Ultrasonic Imaging
• Biomedical Engineering
• +۵ مورد دیگر

Szymon Cygan, PhD, is an Assistant Professor and Deputy Dean for Students Affairs and Promotion at the Institute of Metrology and Biomedical Engineering , part of the Faculty of Mechatronics at Warsaw University of Technology. His work focuses on strain imaging methods for echocardiography, ultrasonic imaging, and biomedical engineering applications. Education: M.Sc. (2003) in Automatics and Robotics with Biocybernetics and Biomedical Engineering specialization; Ph.D. (2011) on displacements and strain estimation for ultrasonic strain imaging. Research: Specializes in speckle tracking echocardiography, left ventricular phantom modeling, finite element simulations, and validation of strain estimation algorithms using synthetic and physical models. Awards: No specific scientific awards explicitly mentioned. Projects: Involved in 2 projects, including development of low-cost gait analysis systems and synthetic cardiac phantom validation. Labs: Part of Krzysztof Kaluzynski's Lab, focusing on biomedical engineering and cardiac imaging.

• Computational Physiology
• Biomechanics
• Cardiac Electromechanics
• +۷ مورد دیگر

Joakim Sundnes is a Chief Research Scientist and Research Professor at the Department of Scientific Computing, Simula Research Laboratory. He specializes in computational physiology, cardiac biomechanics, and mathematical modeling of cardiovascular systems. Key Research Areas: Cardiac electromechanics, computational fluid dynamics in cardiology, uncertainty quantification in cardiac models, and mechano-electric feedback mechanisms Recent Trends: Focus on patient-specific modeling, left atrial flow dynamics, right ventricular mechanics in pulmonary hypertension, and personalized treatment simulations Scientific Contributions: Active participant in international conferences and editorial work. Co-author of multiple benchmark studies and educational texts on physiological modeling.

• Cardiac Metabolism
• Diabetic Cardiomyopathy
• Mitochondrial Metabolism
• +۳ مورد دیگر

Lisa Heather is an Associate Professor and British Heart Foundation (BHF) Intermediate Fellow at the University of Oxford's Department of Physiology, Anatomy, and Genetics (DPAG) within the Medical Sciences Division. Her research focuses on cardiac metabolism in health and disease, particularly in diabetes and heart failure. She holds dual expertise in molecular mechanisms of metabolic dysfunction and translational cardiovascular research. Dr. Heather earned a Bachelor's degree in Medical Biochemistry from the University of Surrey and conducted doctoral research on cardiac hypertrophy's metabolic origins. Her postdoctoral work explored mitochondrial dysfunction in diabetic cardiomyopathy. Key career milestones include a Diabetes UK RD Lawrence Fellowship (2011) and a BHF Intermediate Fellowship (2018), supporting her investigations into lipid metabolism and hypoxia signaling in diabetic hearts. Her research interests span mitochondrial bioenergetics, fatty acid trafficking, hypoxia responses, and metabolic reprogramming in disease. She employs advanced techniques like hyperpolarized MRI and metabolomics to study real-time metabolic changes, with recent breakthroughs identifying novel roles for fatty acids in disrupting hypoxia signaling and cardiomyocyte function. Her publications (e.g., Diabetes , Physiological Reviews , JCI Insight ) highlight interdisciplinary approaches to metabolic disease. She leads the Heather Group, advancing therapies targeting metabolic pathways in heart failure and diabetes. Her work bridges basic science and clinical applications, emphasizing metabolic interventions for cardiovascular health.

• Applied data science
• Multimodal image analysis
• Biomarker discovery
• +۴ مورد دیگر

Dr. Sina Fathieh is an academic researcher specializing in cardiology and data science, affiliated with clinical and research initiatives focused on cardiovascular disease mechanisms, biomarker discovery, and environmental health factors. His work bridges computational biology with clinical diagnostics. Current Research Focus BioHEART Study (SMuRFless Population) Cardiovascular Risk Biomarkers Environmental Health Impacts Machine Learning Applications His research explores: Subclinical coronary artery disease AI-enhanced ECG risk estimation PM2.5-induced metabolic disturbances Saline solution for plaque detection Calcium score modeling STEMI diagnostic challenges Clinical themes align with cardiology translational research, combining adult patient studies, statistical design, and environmental risk factors. Key collaborative initiatives include the BioHEART-CT Study and cardiovascular drug trial methodologies.

Ahmet Barutcuمشاهده پروفایل

دانشیار

• Cardiology
• Cardiac Imaging
• Coronary Artery Disease
• +۳ مورد دیگر

Dr. Ahmet Barutcu is an Associate Professor at Canakkale Onsekiz Mart University Faculty of Medicine , where he specializes in adult cardiology , coronary artery disease , and percutaneous coronary interventions . He established 24-hour primary angioplasty services at Canakkale Onsekiz Mart University Hospital. Education: MD: Trakya University Faculty of Medicine (1999-2005) Cardiology Residency: Trakya University (2005-2010) Visiting Research Fellowship: Oxford University, John Radcliffe Hospital (2017-2018) Research Interests: Cardiac imaging (MRI, echocardiography) Coronary slow flow and acute coronary syndromes Arrhythmia risk stratification Epicardial adipose tissue in renal patients Genetic markers in cardiovascular disease Optimization of percutaneous coronary intervention Technical Expertise: EACVI CMR Level 1 Certification 3D & Transesophageal Echocardiography Speckle Tracking Echocardiography Scientific Contributions: His work spans 15 recent publications on coronary interventions, cardiac imaging, and inflammatory markers in cardiovascular disease. Key collaborations include the UK Biobank CMR Tagging Study and the HCM Registry .

Larissa Jansenمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Medical Imaging
• Cardiovascular Biomechanics
• +۳ مورد دیگر

Larissa Jansen is a Researcher at the Eindhoven University of Technology (TU/e) in the Biomedical Engineering department. She completed her PhD in 2024, focusing on developing novel 3D ultrasound imaging techniques for improved mechanical quantification of abdominal aortic aneurysms (AAAs). Her work addresses challenges in field of view, temporal resolution, and clinical decision-making for AAA management. She holds a BSc (2016) and MSc (2018) in Biomedical Engineering from TU/e, with an internship at the Auckland Bioengineering Institute, where she studied myocardial fiber orientations using MRI and finite element modeling. Research Interests : Medical imaging and ultrasound technology Cardiovascular biomechanics Abdominal aortic aneurysm diagnostics Image acquisition and processing Publications : Her recent work advances 3D ultrasound techniques for AAA assessment, including studies on distensibility quantification and imaging system optimization. These contributions highlight the potential of ultrasound for non-invasive mechanical characterization of blood vessels. Labs/Teams : She is affiliated with the Photoacoustics & Ultrasound Laboratory and the Eindhoven MedTech Innovation Center , collaborating on projects funded by the Dutch Research Council (NWO).

• Biomedical Imaging
• Medical Imaging Technology
• Cardiac Disease Detection
• +۳ مورد دیگر

Jesse Hamilton, Ph.D., is an Assistant Professor in the Department of Radiology and Biomedical Engineering at the University of Michigan. Their research focuses on advancing quantitative Magnetic Resonance Imaging (MRI) methods to improve early detection and monitoring of cardiac diseases. Key projects include development of cardiac MR Fingerprinting for rapid, multi-parametric tissue characterization, low-field MRI applications, and deep learning-enhanced reconstruction algorithms. Research interests emphasize data acquisition innovation, algorithm design, and clinical translation of MRI technologies. The lab validates methods through simulations, phantom studies, and human trials, targeting applications like cardiac amyloidosis diagnosis and cardiomyopathy phenotyping. Recent work highlights MRF's utility in simultaneous T1/T2 mapping, sex-specific cardiac analysis, and low-field imaging. Articles explore artifact correction, multi-contrast imaging, and system optimization. No specific scientific awards are listed, but contributions to MRF methodology are prominent in the field. Advising and grants are not detailed here, but the lab's focus on translational imaging research suggests active grant-funded projects. Collaborations likely span radiology, biomedical engineering, and clinical cardiology departments at the University of Michigan Medical School. Key infrastructure includes advanced MRI systems, computational resources for deep learning, and experimental setups for validating imaging techniques in both phantom and clinical settings.

• Health Sciences
• Nutrition
• Antioxidants
• +۷ مورد دیگر

Karolina Jakubczyk is a Professor at the Department of Human Nutrition and Metabolomics, Faculty of Health Sciences, Pomeranian Medical University in Szczecin. Her research focuses on nutritional science, functional foods, and the biochemical mechanisms underlying antioxidant activity in plant-based products. Her work spans topics like the health impacts of kombucha, matcha tea, spirulina, and edible flowers, with a strong emphasis on phytochemical analysis, oxidative stress modulation, and food safety. She has published 150+ articles, contributed to 1 doctoral thesis, and conducted research on topics ranging from vitamin D metabolism in cardiac patients to the influence of cultivation methods on tea quality. Key Research Areas: Antioxidant mechanisms, functional food development, dietary interventions for metabolic disorders, and microbiological safety of fermented foods. Notable Projects: Analysis of fluoride content in dietary supplements, optimization of extraction techniques for bioactive compounds, and gut microbiome studies in liver disease patients. Her articles highlight trends in understanding how environmental factors (e.g., light exposure, fermentation processes) affect nutrient profiles and bioactivity. She has also examined the clinical relevance of gut microbiota alterations caused by medications. Awards: No specific prizes listed, though her extensive publication record reflects sustained scholarly impact. She has advised one doctoral student and contributed to research projects involving over 6,674 ministry points. Labs/Teams: Active in the Department of Human Nutrition and Metabolomics laboratory, collaborating on metabolomics and nutritional profiling studies.

• Cardiology
• Medical Imaging
• Nuclear Medicine
• +۳ مورد دیگر

Dr. Yi-Hwa Liu is a Senior Research Scientist in Medicine (Cardiology) at Yale School of Medicine, serving as Associate Director of the Cardiovascular Nuclear Imaging Core Laboratory. He holds a PhD in Electrical and Computer Engineering from Rensselaer Polytechnic Institute (1991), with prior faculty roles as Assistant Professor (1998–2004) and Associate Professor (2004–2014) at Yale. His research focuses on advanced medical imaging techniques, including nuclear cardiac image reconstruction, myocardial perfusion imaging, and non-coherent image restoration. He co-invented the Wackers-Liu CQ® quantitative analytic method for myocardial perfusion tomographic imaging and authored influential textbooks in cardiovascular imaging. Dr. Liu is an IEEE Senior Member and Sigma Xi member. His work integrates machine learning, AI, and engineering principles to improve cardiovascular diagnostics. Education: PhD, Electrical and Computer Engineering, Rensselaer Polytechnic Institute (1991) MS, Electrical and Computer Engineering, University of Missouri (1987) BS, Biomedical Engineering, Chung Yuan Christian University (1981) Research Interests: Medical image reconstruction and quantification Nuclear cardiology imaging Myocardial perfusion SPECT/PET AI-driven medical imaging solutions Cardiovascular risk prediction models Key Contributions: Co-developer of Wackers-Liu CQ® quantitative method Pioneer in fluorescence microscopy image restoration Authored major textbooks in cardiovascular imaging Leader in integrating machine learning with cardiac imaging Publications: Over 80 peer-reviewed articles, emphasizing innovations in cardiac imaging techniques and quantitative analysis methodologies. Recent work explores GAN applications for motion correction and deep learning-based SPECT/PET reconstruction.

• Extracellular Vesicles
• Stem Cell Research
• Regenerative Medicine
• +۷ مورد دیگر

Martin Wolf is a Researcher at the Institute of Experimental and Clinical Cell Therapy , part of Paracelsus Medical University . He holds an email contact at pmu.ac.at and has been actively publishing in diverse fields including Extracellular Vesicles, Stem Cell Research, and Regenerative Medicine. His research interests span Immunomodulation, Angiogenesis, Allergy & Immunology, and Machine Learning-based analysis of cellular systems. His work often bridges Biomedical Engineering with clinical applications. Recent research trends highlight a focus on extracellular vesicles (EVs) , including their role in SARS-CoV-2 interactions , skin regeneration , and cartilage repair . Collaborative studies explore human stem cell therapies and biomarker discovery in cardiovascular and neurological contexts. Labs & Teams : Collaborates with the Strunk Lab on EV-Quant, a microfluidic chip project for EV quantification (active 2021–2025). Participates in interdisciplinary teams studying cell-based therapies and tissue engineering.

Timothy Garvey Turkingtonمشاهده پروفایل

دانشیار

• PET Imaging Physics
• Instrumentation
• Image Reconstruction
• +۵ مورد دیگر

Timothy Garvey Turkington is an Associate Professor in the Department of Radiology at Duke University School of Medicine and a Faculty Network Member of the Duke Institute for Brain Sciences. Holding a Ph.D. from Duke University (1989), his academic career spans over three decades with continuous contributions to nuclear medicine physics. His research focuses on PET imaging physics, including instrumentation development, reconstruction algorithms, and image processing techniques. Key research thrusts include improving quantitative accuracy in PET, reducing scan times and radiation doses in PET/CT systems, developing novel imaging devices for PET and SPECT applications, and expanding PET's clinical utility in oncology, neurology, and cardiology. His work bridges theoretical physics with practical clinical implementation, particularly in breast imaging and quantitative biomarker development. Analysis of his 15 most recent publications reveals a strong emphasis on instrumentation optimization (particularly for breast imaging), quantification accuracy in clinical settings, and the development of standardized protocols for PET/CT systems. His work increasingly focuses on translational applications where physics innovations directly impact clinical decision-making, especially in cancer imaging and therapy response assessment. Dr. Turkington teaches graduate courses including PHYSICS 523: Modern Medical Diagnostic Imaging System, MEDPHY 782: Advanced Practicum for Clinical Development in Medical Physics, and MEDPHY 530: Modern Medical Diagnostic Imaging System, training the next generation of medical physicists. His research has been supported by significant grants including the RSNA 2016 Project (2014-2018), Simultaneous Emission and Transmission Mammotomography (2002-2014), and the Harmonized PET Reconstructions for Cancer Clinical Trails (2013-2014), demonstrating sustained funding for his innovative work in medical imaging physics.

Mette Sørensenمشاهده پروفایل

دانشیار

• Genetic Epidemiology
• Aging Research
• Longevity Studies
• +۵ مورد دیگر

Mette Sørensen is an Associate Professor at the Institute for Health Services Research within the Faculty of Health Sciences at the University of Southern Denmark. She leads research in genetic epidemiology, aging, longevity and functional genomics. With a Master of Science and PhD, her academic career has focused on understanding the molecular mechanisms of aging through twin studies and multi-omics approaches. Her research interests center on genetic and epigenetic factors influencing aging processes, with specific expertise in DNA methylation, epigenetics, and twin study methodologies. Sørensen's work examines how genetic and molecular biological factors affect aging trajectories, longevity, and age-related diseases. She applies multi-omics approaches including epigenomics, proteomics, and metabolomics to identify biomarkers of aging and longevity. Dr. Sørensen's recent publications demonstrate a strong focus on epigenetic clocks, DNA methylation patterns in aging, cardiovascular health in relation to molecular markers, and the use of twin studies to disentangle genetic and environmental influences on aging. Her work spans from basic molecular mechanisms to clinical applications in gerontology. Her scientific achievements have been recognized with prestigious awards including the Manufacturer Vilhelm Pedersen and Wife's Memorial Grant from the Novo Nordisk Foundation and The Danish Council for Independent Research Postdoctoral Fellowship. As an active researcher, Sørensen serves as a peer reviewer for journals including Scientific Reports and Aging Cell, participates in major conferences like The Gerontological Society of America Annual Scientific Meeting, and contributes to significant research projects such as LLFS: Længe Leve - et Familiestudie (Long Life Study). She also engages with the public through media interviews about DNA methylation age, aging, and longevity research.

• Radiology
• Cardiovascular Imaging
• Artificial Intelligence in Medical Imaging
• +۴ مورد دیگر

Jeremy R. Burt, MD is a Professor in the Department of Radiology & Imaging Sciences with dual board certification from the American Board of Internal Medicine (Internal Medicine) and the American Board of Radiology (Radiology). His clinical expertise spans diagnostic radiology, cardiovascular imaging, and internal medicine, with a focus on advanced CT and MRI applications. Dr. Burt's educational background includes: M.D. from George Washington University School of Medicine and Health Sciences B.S. in Zoology and Asian Studies/Chinese from Brigham Young University Residency in Diagnostic Radiology at Johns Hopkins University School of Medicine Residency and Internship in Internal Medicine at Stanford University School of Medicine Fellowship in Body Magnetic Resonance Imaging (cardiothoracic emphasis) at Johns Hopkins University School of Medicine His research centers on cardiovascular imaging innovation , particularly AI-driven diagnostic tools for cardiac conditions. Key interests include quantitative myocardial tissue characterization, coronary artery disease assessment via non-contrast CT/MRI, and prognostic modeling for transcatheter aortic valve replacement (TAVR) outcomes. He pioneers artificial intelligence applications in lung nodule detection, coronary calcium scoring, and left atrial volumetric analysis, with significant focus on young adult populations and rare disease presentations . His work bridges radiology, cardiology, and computer science to transform diagnostic precision. Analysis of his 2020-2023 publications reveals three dominant trends: (1) AI validation for lung nodule detection and coronary calcium scoring in low-dose CT, (2) Cardiovascular MRI/CT biomarkers for sarcoidosis and TAVR prognosis, and (3) Epidemiological studies on coronary disease in young adults. His collaborative network includes Schoepf, Chamberlin, and Kocher, producing high-impact work in Acta Radiologica , International Journal of Cardiovascular Imaging , and European Journal of Radiology . Dr. Burt actively mentors through collaborative research projects with radiology residents and cardiology fellows, evidenced by his extensive co-authorship on case reports and technical innovations. His work on Kaolin Pneumoconiosis and Williams Syndrome imaging demonstrates engagement with rare pathologies, while his TAVR-related studies indicate ongoing NIH or industry-funded research in structural heart disease imaging.

Luc Florackمشاهده پروفایل

استاد

• Medical Imaging
• Differential Geometry
• MRI Techniques
• +۵ مورد دیگر

Luc Florack is a Full Professor in the Applied Differential Geometry group at Eindhoven University of Technology (TU/e). His research focuses on multiscale and differential geometric representations of medical imaging data, particularly in MRI techniques like diffusion and tagging MRI. He applies these methods to connectomics and myocardial function analysis. He holds an MSc in theoretical physics and a PhD in medical image analysis from Utrecht University. He has authored nearly 200 peer-reviewed papers and served on editorial boards and conference committees. His work includes developing the Sheet Probability Index (SPI) for white matter analysis and stability metrics for optic radiation tractography. Affiliations: EAISI, EAISI Health, Center for Analysis, Scientific Computing & Appl., Applied Differential Geometry Research interests include differential geometry applications to image analysis, tensor calculus, and partial differential equations. His recent work emphasizes clinical workflow integration of mathematical techniques. He has contributed to international conferences and holds roles in Dutch academic organizations like 3TU.AMI and NWO's Mathematics Advisory Board. Publications span neuroimaging, cardiovascular MRI, and tractography validation. His methods address challenges in quantifying brain sheet structures and improving surgical prediction accuracy.