جست‌وجوی استاد و پژوهشگر

• Cardiac Magnetic Resonance Imaging (CMR)
• Myocardial Perfusion
• Cardiovascular Imaging
• +۵ مورد دیگر

Dr. Adriana Villa is a researcher specializing in Cardiac Magnetic Resonance Imaging (CMR) and myocardial perfusion analysis , with 819 citations and 28 research outputs. Her work intersects medical imaging, cardiovascular diagnostics, and advanced computational methods. Key Research Areas : Cardiac MRI, Hypertrophic/Takotsubo Cardiomyopathy, Myocardial Perfusion, Sudden Cardiac Death risk stratification Notable Projects : Calibrated multimodality quantitative myocardial perfusion analysis (2018-2022, British Heart Foundation funded) Collaborations : Active in international networks with 26+ co-authors, including Prof. S. Plein and Prof. R. Razavi Innovation : Developed CardiSort (2022) - a neural network for automated CMR image sorting Her publications span high-impact journals like JACC: Cardiovascular Imaging and European Radiology , covering topics from multi-slice perfusion techniques to machine learning applications in cardiac imaging. While no formal awards are listed, her work has been referenced in patents and widely shared across academic networks. Current research focuses on quantitative CMR for ischemia detection, myocardial strain analysis in cardiomyopathies, and AI-driven image processing to improve diagnostic accuracy.

• Cardiac Imaging
• Cardiovascular Disease
• Heart Muscle Physiology
• +۳ مورد دیگر

Sven Plein is a Professor renowned for his contributions to cardiovascular imaging and translational research. His work focuses on cardiac magnetic resonance imaging (MRI), myocardial perfusion, and the integration of artificial intelligence in medical diagnostics. He has contributed to over 62 research outputs and 1 supervised project funded by the British Heart Foundation (BHF). His research aligns with UN Sustainable Development Goals related to health and well-being. Key collaborations include projects like Calibrated multimodality quantitative myocardial perfusion analysis (2018–2022), emphasizing multi-modal imaging techniques. His work bridges clinical cardiology with cutting-edge imaging technologies, addressing challenges in coronary artery disease, cardiotoxicity monitoring in cancer patients, and immune responses during pandemics. Plein has advised 2 supervised works and maintains active international collaborations, particularly in cardiovascular medicine and immunology. His research has been cited over 3,996 times and has influenced clinical practices through peer-reviewed journals like JACC: Cardiovascular Interventions and Radiology: Cardiothoracic Imaging .

• Diabetes Complications
• Brain Metabolism
• Neuroscience
• +۷ مورد دیگر

Raimund Herzog is an Associate Professor of Medicine (Endocrinology) at Yale School of Medicine. He specializes in diabetes complications and brain metabolism, combining clinical care with translational research. His work focuses on understanding how diabetes impacts brain energy substrates and cognitive function, using advanced techniques like NMR spectroscopy and phospho-proteomics. He collaborates with institutions like the Magnetic Resonance Research Center and the Keck Mass Spectrometry Center. His research is funded by NIH grants and has led to high-impact publications in journals such as The Journal of Clinical Investigation and Diabetes . Education: M.D. (University of Ulm, Germany), M.H.S. (Yale University), Residency in Internal Medicine (Yale School of Medicine). Research Interests: Diabetes complications, brain metabolism adaptations, hypoglycemia-associated autonomic failure, and metabolic biomarkers. Dr. Herzog’s studies explore the molecular mechanisms underlying brain energy metabolism in diabetes, aiming to develop targeted therapies. He also investigates metabolomic profiles in obese adolescents and aging-related cognitive decline. His clinical roles include patient care at the Yale Diabetes Center and medical student education.

• Medical Imaging
• Cardiovascular Imaging
• Molecular Imaging
• +۳ مورد دیگر

Felicitas Bijari is an Associate Research Scientist in Radiology & Biomedical Imaging at Yale University School of Medicine. Her primary affiliation is the Department of Radiology & Biomedical Imaging, with secondary roles in the Bioimaging Sciences and the PET Core facility. She holds a PhD in Bioengineering from George Mason University and completed postdoctoral training at Massachusetts General Hospital/Harvard Medical School. Her research focuses on molecular imaging, particularly PET imaging of mitochondrial function in cardiovascular diseases, and statistical modeling for aneurysm rupture prediction. She has contributed to studies on cardiac extracellular volume mapping, mitochondrial membrane potential quantification, and the development of ice slurry therapies for pericardial fat reduction. Her work also integrates hemodynamic analysis and machine learning for predictive clinical decision tools. Bijari collaborates with leading institutions such as the Center for Molecular Imaging Technology and Translation (CMITT). Her publications span high-impact journals in medical imaging, cardiology, and neurology. She actively participates in interdisciplinary projects linking computational methods with clinical applications.

• Nuclear Medicine
• PET Imaging
• Radiotracers Development
• +۳ مورد دیگر

Michael Kapinos is a Clinical Assistant Professor at Yale School of Medicine, specializing in nuclear medicine and molecular imaging. His research focuses on developing and applying PET radiotracers for studying neurodegenerative diseases, psychiatric disorders, and metabolic conditions. Key areas include synaptic density measurement, enzyme activity quantification, and immune response imaging in the brain. Affiliations: Yale School of Medicine Research Collaborations: Works with experts like Nabeel Nabulsi, Richard Carson, and Jean-Dominique Gallezot. His work bridges preclinical studies in animal models to clinical applications, with a emphasis on translating radiotracer innovations into diagnostic tools for conditions like PTSD, addiction, and Alzheimer’s disease. Research Interests: PET radiotracer development for synaptic and immune biomarkers Neuroimaging of neuroinflammation and receptor activity Translational studies linking molecular mechanisms to clinical outcomes Key Findings: Contributions include venous blood sampling for synaptic density measurement and identifying neuroimmune suppression in PTSD through PET.

• Interventional Cardiology
• Transcatheter Aortic Valve Replacement
• Percutaneous Coronary Intervention
• +۷ مورد دیگر

Nicolas van Mieghem is a Full Professor in the Department of Cardiology at Erasmus MC, a leading academic medical center in the Netherlands. He is actively involved in clinical research and interventional cardiology, with a strong focus on transcatheter valve therapies and coronary interventions. Institution: Erasmus MC Department: Cardiology Academic Rank: Professor His research interests center on interventional cardiology , particularly transcatheter aortic valve replacement (TAVR) , percutaneous coronary intervention (PCI) , acute coronary syndromes , and valvular heart disease . He has made significant contributions to understanding revascularization strategies, imaging techniques, and procedural outcomes in high-risk cardiac patients. The recent articles highlight a strong trend toward clinical trials, real-world registry analyses, and technological integration in cardiology, especially the use of artificial intelligence in imaging and optimization of procedural planning. His work frequently appears in high-impact cardiology journals such as the International Journal of Cardiology and the American Journal of Cardiology . Nicolas van Mieghem has supervised 8 academic projects, indicating an active role in mentoring the next generation of cardiovascular researchers. Although no specific grants are listed in the provided text, his involvement in multi-center studies (e.g., BIOVASC, REVALVE) suggests leadership in collaborative research initiatives. He is affiliated with a dynamic research network in interventional cardiology at Erasmus MC, contributing to one of the most active cardiovascular research groups in Europe. His team engages in cutting-edge clinical trials, device evaluation, and imaging innovation.

John-Peder Kvittingمشاهده پروفایل

دانشیار

• Cardiothoracic Surgery
• Aortic Valve Repair
• Valve-Sparing Aortic Root Replacement
• +۶ مورد دیگر

John-Peder Kvitting is an Associate Professor at the Department of Cardiothoracic Surgery, University of Oslo, and a Senior Consultant at Oslo University Hospital, Rikshospitalet. He received his M.D. in 2002 and Ph.D. in 2004 from Linköping University, Sweden, focusing on cardiovascular flow and myocardial function. From 2008-2010, he completed a postdoctoral fellowship at Stanford University School of Medicine under Professor D. Craig Miller. Education: M.D. (2002), Ph.D. (2004) Linköping University Positions: Senior Consultant Cardiothoracic Surgeon (2010-present), Associate Professor (University of Oslo, 2016-present) His research focuses on aortic valve repair , valve-sparing aortic root replacement , mitral valve surgery , and pathogenesis of calcific aortic valve disease . Recent publications highlight work in 4D flow MRI, platelet function during bypass, and aortic arch surgery. He has published extensively on valvular calcification mechanisms and surgical outcomes for complex cardiac conditions. Key article trends include calcific valve disease (in vitro/ex vivo models, multi-omics), mitral annular dynamics (strain analysis, device evaluation), and chronic thromboembolic pulmonary hypertension (surgical comparisons, remodeling studies). Collaborative work spans institutions in Sweden, USA, and Norway, with affiliations to the Cardiogenetics and Sudden Cardiac Death research group.

Marek Belohlavekمشاهده پروفایل

استاد

• Cardiovascular Imaging
• Biomedical Engineering
• Computational Fluid Dynamics
• +۴ مورد دیگر

Dr. Marek Belohlavek is a Professor of Biomedical Engineering and Medicine at the Mayo Clinic College of Medicine and Science in Phoenix, Arizona. He serves as Director of the Translational Ultrasound Research Laboratory and actively contributes to cardiovascular imaging research. Education PhD in Biophysics/Biophysical Sciences (Biomedical Engineering Track, Mayo Graduate School, 1996) MD in General Medicine (Charles University, 1983) MS in Biomedical Sciences-Physiology (Mayo Graduate School, 1993) Dr. Belohlavek specializes in cardiovascular ultrasound imaging , focusing on echocardiography, computational fluid dynamics, and development of acoustically active catheters for minimally invasive procedures. His research characterizes early cardiovascular disease stages and optimizes cardiac performance diagnostics. Recent publications highlight his work on ultrasound-guided interventions , cardiometabolic interactions , and advanced echocardiographic methods for strain analysis and blood flow modeling. Scientific Awards and Memberships Young Investigator Award, American Society of Echocardiography (2006) Pioneer Award, 50th Anniversary of Echocardiography (2003) Teacher of the Year, Mayo Clinic Graduate School (2002) Fellow, American Society of Echocardiography and European Society of Cardiology Dr. Belohlavek's research has been funded by the National Institutes of Health and American Heart Association . His work bridges biomedical engineering and clinical cardiology , advancing noninvasive diagnostics and therapeutic guidance systems. Laboratory & Collaborations : Leads the Translational Ultrasound Research Laboratory, collaborating with Mayo Clinic's Division of Cardiovascular Diseases and external institutions on projects like NIH-funded acoustically active catheter development .

• Cardiac Magnetic Resonance Imaging
• Myocardial Perfusion Imaging
• Cardiovascular Image Reconstruction
• +۳ مورد دیگر

Sohaib Nazir serves as Clinical Senior Lecturer & Honorary Consultant in Adult Cardiology within the School of Cardiovascular Medicine and Sciences at King's College London, specializing in Cardiovascular Imaging. His dual clinical-academic role bridges advanced cardiac imaging research with direct patient care in adult cardiology. Dr. Nazir's research focuses on advancing cardiac magnetic resonance techniques, particularly in myocardial perfusion imaging and image reconstruction methodologies. His work addresses critical challenges in image quality optimization, motion correction, and quantitative analysis of cardiac function. Key research themes include: Development of accelerated MRI acquisition and reconstruction techniques Clinical validation of perfusion imaging biomarkers Integration of artificial intelligence in cardiac image analysis Applications in ischemic heart disease and cardiotoxicity monitoring His recent publications demonstrate a strong trajectory in both technical innovation and clinical translation, with multiple 2024-2025 publications in high-impact cardiology journals. Dr. Nazir's work contributes significantly to UN Sustainable Development Goals related to good health and well-being through advanced diagnostic methodologies. Notable scientific recognition includes: Academy of Medical Sciences research grant (2021-2022) Principal Investigator role in Rosetrees Trust-funded Total Body PET project Co-Investigator position on the MRC-funded National Total Body PET Centre Dr. Nazir actively collaborates with major research institutions across multiple countries, with recent external collaborations spanning Europe and North America. His current projects focus on next-generation imaging technologies for whole-body organ perfusion assessment and standardized heart function analysis across multi-modal imaging platforms.

Mark O'Neillمشاهده پروفایل

استاد

• Cardiology
• Electrophysiology
• Atrial Fibrillation
• +۴ مورد دیگر

Mark O'Neill is a Professor at King's College London , specializing in Cardiology , Electrophysiology , and Atrial Fibrillation research. His work spans Cardiac Imaging , Biophysical Modelling , and Ablation Therapy , with a focus on integrating Electroanatomic Mapping and Cardiovascular Magnetic Resonance for clinical applications. Research interests include: Quantitative assessment of myocardial blood flow in arrhythmias Personalized computational models for left atrial electromechanics Artificial intelligence in ablation guidance Structural and electrical remodelling in atrial fibrillation Selected projects: Wellcome Trust : Patient-specific ablation guidance (2019-2022) BHF British Heart Foundation : Atrial septal defect impact (2018-2021) EPSRC : Image-based ablation systems (multiple grants) His students include Louisa O'Neill, with whom he co-authored studies on atrial septal defects and fibrosis. Current outputs emphasize multi-modal imaging , virtual patient cohorts , and clinical translation of computational models.

• Nuclear Medicine Physics
• Medical Imaging
• SPECT/CT Image Reconstruction
• +۳ مورد دیگر

Michael A. King is a Professor in the Department of Radiology at UMass Chan Medical School and holds an appointment in Biochemistry and Molecular Biotechnology at Morningside Graduate School of Biomedical Sciences. His work focuses on nuclear medicine physics and advanced SPECT/CT imaging systems. UMass Chan Medical School, Worcester, MA T.H. Chan School of Medicine Morningside Graduate School of Biomedical Sciences Research Interests: Dr. King specializes in correcting image degradation factors in nuclear medicine, including attenuation, scatter, and motion artifacts . His lab develops deep learning algorithms for cardiac and brain imaging, adaptive collimator designs for SPECT systems, and task-based image quality assessment using human and numerical observers. Recent Research Trends include respiratory motion compensation in cardiac SPECT, multi-pinhole collimator optimization , and AI-driven dose reduction techniques. His team’s work on dynamic SPECT imaging enables non-invasive quantification of physiological functions. Scientific Contributions: Recipient of three NIH R01 grants (R01-EB022092, R01-EB022521, R01-HL154687) Co-investigator on grants exploring wave-radar motion estimation and pediatric SPECT optimization Pioneered motion-corrected reconstruction algorithms integrated into clinical workflows Teaching: Dr. King leads the Physics of Radiology for Residents course and prepares students for the American Board of Radiology physics exam through Physics Review Lectures . He has mentored graduate students like Anne-Dorte Achtert and Daniel deVries, whose work received Best Scientific Paper Awards from the Journal of Nuclear Cardiology and Journal of Nuclear Medicine.

• Medical Imaging
• Computer Science
• Biophysics
• +۶ مورد دیگر

Clifford Grant Lindsay is an Assistant Professor at UMass Chan Medical School's T.H. Chan School of Medicine, Department of Radiology. He holds a BS in Computer Science from University of California, San Diego and a PhD in Computer Science from Worcester Polytechnic Institute. NIH/NIBIB K25EB019032-01A1 Career Award (2015-2019) Co-investigator on WPI/UMass grant ARMO phantom development (2015-2017) NIH Clinical Research Grant (2016-2018) for marker-less motion tracking His research focuses on medical imaging physics, particularly motion correction in SPECT/PET imaging through computational modeling and robotic phantoms. Key contributions include: Deep learning for attenuation map estimation in cardiac imaging Development of articulated robotic motion phantoms Quantitative MRI volumetric analysis in GM1 gangliosidosis Respiratory motion compensation techniques Surface marker correlation for hybrid imaging systems 4D phantom modeling for emission tomography Publications span Medical Imaging , Neurology , and Biophysics , with recent work on machine learning applications and neurological disorder imaging. Collaborations include Michael King and Mohammed Shazeeb on motion tracking solutions for nuclear medicine.

• Cardiorespiratory Medicine
• Haematology
• Clinical Sciences
• +۴ مورد دیگر

Dr Graham Cole is a Consultant Cardiologist and Honorary Senior Lecturer at the National Heart & Lung Institute, part of Imperial College London's Faculty of Medicine. His expertise lies in cardiac imaging and clinical research, with a focus on optimizing imaging techniques for diagnostic and therapeutic purposes. He holds an undergraduate degree in Natural Sciences (Pathology) from the University of Cambridge, where he earned First Class Honours and the Roger Morris Prize for Surgery. His postgraduate training included clinical roles at leading London hospitals, followed by a BHF-funded PhD on cardiac function quantification. He leads Cardiac MRI services in cardiomyopathy, heart failure, myocarditis, and coronary artery disease, with a high-volume practice (>1200 cases/year). His research integrates AI for imaging quality control and clinical decision-making, as seen in projects like the ORBITA-2 trial evaluating PCI efficacy. He is actively involved in cardiovascular trials, including the ORBITA-COSMIC trial on coronary sinus reducers for angina. His work also extends to post-COVID-19 myocardial injury and remote monitoring in heart failure. Dr Cole’s contributions span academic leadership in imaging innovation, clinical care, and translational research. Education : Bachelor of Natural Sciences (Pathology), Gonville & Caius College, Cambridge (First Class Honours) Postgraduate clinical training at Hammersmith, Charing Cross, Guy's, and St Thomas' Hospitals BHF-funded PhD (2008-2018) on cardiac function quantification Research Interests : Cardiac imaging optimization (MRI/CT/echo) AI applications for diagnostic accuracy and workflow Cardiac disease mechanisms in heart failure and myocarditis Placebo-controlled trials of cardiovascular interventions Awards : Roger Morris Prize for Surgery (Cambridge University) Key Projects : ORBITA-2 trial (PCI efficacy) AI-driven MRI quality control systems Clinical pathways for post-COVID myocardial injury Labs/Teams : Active contributor to the Artificial Intelligence Network and Cardiovascular Trials & Epidemiology groups at Imperial College London.

• Atherosclerosis Research
• Macrophage Biology
• Systems Biology
• +۳ مورد دیگر

Professor Joseph Boyle is a Professor of Chemical Systems Pathology at the National Heart and Lung Institute, Imperial College London, within the Faculty of Medicine. His research focuses on gene regulation in macrophages related to atherosclerosis, integrating systems biology, pharmacology, and clinical translation. He holds affiliations with the Immuno-Pathology Network, Vascular Science Network, and Vasculitis Centre. Trained as a histopathologist (FRCPath), he combines clinical expertise with laboratory research in vascular biology. Education: BSc (Hons) Pharmacology (University of Glasgow, 1988), MBChB (Glasgow, 1991), PhD (University of Cambridge, 1997–2001). Professional milestones include histopathology training (1992–2001) and postdoctoral fellowships at Imperial College London. Research interests emphasize protective gene regulation in macrophages, leveraging spatial transcriptomics and imaging technologies. His work spans drug development (e.g., metformin’s anti-atherosclerotic effects), enzyme-based probes (HO-1 detection), and immune responses in cardiovascular disease. Awards include the University of Glasgow Pharmacology Prize and FRCPath certification. Key contributions include identifying roles of SMARCA4, ATF1, and AMPK in macrophage function, and developing molecular imaging tools for atherosclerosis. His lab explores translational applications of these findings in diagnostics and therapeutics.

• Medical Imaging
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Aggelos K Katsaggelos is a Professor at Northwestern University, holding roles in both the McCormick School of Engineering and the Department of Radiology (Basic and Translational Radiology Research). His research spans medical imaging, machine learning, computer vision, semiconductor materials, and astrophysics simulations. Key contributions include advancements in deep learning for medical diagnostics, semiconductor detector characterization, and computational astrophysics. He is affiliated with the Northwestern University Clinical and Translational Sciences Institute (NUCATS). Research interests include AI-driven medical imaging analysis, signal processing for healthcare applications, and semiconductor physics. Notable projects include work on POSYDON for binary star simulations and innovations in GAN-based image super-resolution. He has authored over 350 publications, focusing on interdisciplinary applications of machine learning in healthcare and engineering. No scientific awards are explicitly listed, but his extensive publication record reflects significant academic contributions. External professional relationships for 2024 were none, indicating focused academic engagement. Advising and grants details are not specified in the provided texts.