جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Medical Imaging
• Nanoparticle Drug Delivery
• +۳ مورد دیگر

Thomas Nielsen is an Associate Professor at the Department of Electrical and Computer Engineering, Aarhus University, specializing in Biomedical Engineering. His research bridges medical instrumentation development and clinical oncology applications, with particular expertise in diagnostic imaging technologies. Research Focus: Medical imaging innovation including advanced MRI techniques (hyperpolarized 13 C, 19 F, DCE-MRI) and photoplethysmography for cancer diagnostics Nanoparticle engineering for targeted drug delivery and contrast enhancement Tumor microenvironment analysis focusing on vasculature, hypoxia, and metabolic pathways Development of theranostic platforms combining diagnostics and therapeutics Publication Analysis: His recent work (2013-2022) demonstrates consistent focus on oncology imaging, with 73% of publications involving cancer diagnostics. Key methodological themes include nanoparticle-based contrast agents (33%), MRI technique development (40%), and photoplethysmography applications (13%). Research outputs frequently involve interdisciplinary collaboration across engineering, materials science, and clinical oncology. Projects: Directed three major research initiatives: F127-Folate coated SPION for cancer detection (2014) Chitosan coated PLGA PFOB nanoparticles for cell migration tracking (2013-2014) PLGA-PEG-Folate multimodal nanoparticles for combined MRI/NIR imaging and chemotherapy (2011-2014) Laboratory Affiliations: Conducts research through the Biomedical Engineering laboratories within the Department of Electrical and Computer Engineering, utilizing facilities for nanoparticle synthesis, optical imaging, and magnetic resonance experimentation.

• Systems Neuroscience
• Biological Psychology
• Cognitive and Computational Psychology
• +۳ مورد دیگر

Mark Schira is a Senior Lecturer at the School of Psychology , University of Wollongong, and a Senior Research Officer at Neuroscience Research Australia . He holds a Dr. rer. nat. in Human Neurobiology from the University of Bremen and Charité University Hospital in Berlin, and has collaborated with institutions including the Smith-Kettlewell Eye Research Institute and the University of New South Wales. Research Focus: Systems neuroscience of human visual cortex, including retinotopic organization, susceptibility artifact correction in fMRI, and brain-healthy lifestyle interventions. Education: PhD in Human Neurobiology (University of Bremen & Charité, Berlin), supervised by Prof. Manfred Fahle and Prof. Stephan Brandt. Funding: Grants for projects like Human Brain Atlas , Neurodesk workstations , and Cannabidiol in early-stage dementia . Teaching: Supervision of PhD/MPhil students in topics such as high-resolution fMRI, laminar BOLD responses, and visual cortex modeling. Collaborations: Key partnerships with Prof. George Paxinos and Prof. Christopher Greenwood on neuroimaging and brain disease research. Service: Member of the Organization for Human Brain Mapping (OHBM) since 2008.

Johanna Schwarzمشاهده پروفایل

دانشیار

• Sleep Science
• Stress and Recovery
• Cognitive Neuroscience
• +۵ مورد دیگر

Johanna Schwarz is an Associate Professor at Stockholm University's Department of Psychology, specializing in sleep science and stress-related recovery mechanisms. Her research focuses on sleep's role in emotional regulation, cognitive performance, and aging through experimental and population-based studies. Stockholm University, Department of Psychology Division for Sleep and Alertness Research Research interests center on sleep's interaction with stress load, emotional processing, and cognitive function across adult lifespan. Key methodologies include: Magnetoencephalography (MEG) for neurophysiological measurements Polysomnography in real-life contexts Experience sampling method (ESM) for longitudinal tracking fMRI and EMG for brain-behavior relationships Recent publications examine age-related differences in sleep deprivation impacts, subjective sleep quality interpretation, and emotional regulation neuroimaging. While specific awards aren't detailed in current data, her collaborative studies with Stress Research Institute demonstrate significant contributions to sleep neuroscience. Key research trends show cross-disciplinary integration of: Cognitive neuroscience with gerontology Clinical sleep medicine with epidemiology Neuroimaging with behavioral economics Population health with neurophysiological biomarkers Stress response modeling with affective regulation Subjective sleep experience with objective measurement

Irvin Tehمشاهده پروفایل

عضو هیئت علمی

• Magnetic Resonance Imaging (MRI)
• Cardiac Microstructure
• Diffusion Imaging
• +۳ مورد دیگر

Dr Irvin Teh is a Senior Research Fellow at the University of Leeds' School of Medicine, affiliated with the Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) and the Biomedical Imaging Science group. He serves as MRI Lead for the Experimental and Preclinical Imaging Centre (ePIC) and Impact Champion for LICAMM, focusing on advanced diffusion MRI techniques for cardiac microstructural analysis. PhD in MRI Physics, Imperial College London MSc in Biomedical Engineering BSc in Mechanical Engineering His research bridges preclinical and clinical MRI, emphasizing diffusion tensor imaging to quantify myocardial microstructural changes in diseases like hypertrophic cardiomyopathy. Techniques such as q-space trajectory imaging and motion-compensated tensor encoding are central to his work, validated through collaborations, phantoms, and complementary imaging modalities. His methods aim to improve non-invasive cardiac diagnosis without ionizing radiation. Recent publications highlight advancements in high-gradient cardiac diffusion imaging, outlier detection algorithms, and multi-centre validation studies. He advocates for collaborative research, leading educational modules and training programs, and holds leadership roles in ISMRM and SCMR committees.

• Neuroimaging
• Biostatistics
• Machine Learning
• +۶ مورد دیگر

Lisa D Nickerson is an Associate Professor of Psychiatry at McLean Hospital where she serves as Director of the Applied Neuroimaging Statistics Research Lab. Her work bridges computational neuroscience, biostatistics, and clinical psychiatry with strong affiliations across Harvard University institutions including Harvard Medical School, Harvard Catalyst, and the Harvard Data Science Initiative. Dr. Nickerson's research focuses on developing and applying advanced machine learning and statistical methods for multimodal neuroimaging data analysis, particularly for Alzheimer's Disease, substance use disorders, and psychiatric conditions. She specializes in computational approaches including tensor and matrix decomposition methods, ICA and linked ICA for data fusion, and normative modeling techniques. Her work leverages large-scale datasets such as the Human Connectome Project (HCP), Connectomes Related to Human Disease (CRHD), and Alzheimer's Disease Neuroimaging Initiative (ADNI). Her recent publication portfolio demonstrates a consistent trajectory toward methodological innovation in neuroimaging analysis, with increasing emphasis on data harmonization across multi-site studies, computational approaches to understanding neuropsychiatric symptoms in Alzheimer's Disease, and sex differences in brain circuitry related to addiction. Key themes include brain network analysis, computational psychiatry, and the application of machine learning to clinical neuroscience questions. Dr. Nickerson has received numerous prestigious awards including the NIDA K25 Career Development Award, the O'Keefe Family Junior Investigator Award for Excellence in Imaging, and the Cataldo Award for Excellence in Mentoring. She serves as Associate Editor for Human Brain Mapping and has held leadership roles in the Organization for Human Brain Mapping (OHBM), including chairing workshops and serving on the Communications Committee. In terms of research leadership, she currently serves as Principal Investigator on multiple NIH-funded projects including a five-year R01 grant investigating neuropsychiatric symptoms in Alzheimer's Disease using the HCP Lifespan datasets and a Precision Functional Neuroimaging Core grant. She provides extensive statistical support, training, and mentoring for students and junior scientists, and teaches imaging statistics courses at Harvard and MIT. Her Applied Neuroimaging Statistics Research Lab at McLean Hospital serves as a hub for computational neuroimaging research, integrating expertise in biostatistics, machine learning, and clinical neuroscience. The lab actively collaborates with researchers across multiple institutions and is currently seeking post-doctoral fellows for projects focused on neuroimaging of substance use and multimodal computational neuroimaging related to Alzheimer's Disease.

Marco Rengoمشاهده پروفایل

مدرس

• Oncological imaging
• Cardiovascular imaging
• Contrast media
• +۴ مورد دیگر

Marco Rengo is a Lecturer at the Department of Medical-Surgical Sciences and Biotechnologies , Sapienza University of Rome , with a focus on oncological and cardiovascular imaging. He obtained his PhD in Surgical Angio-Cardio-Thoracic Physiopathology and Radioisotopic Functional Imaging in 2012 and specializes in Radiodiagnostic Medicine (cum laude, 2008). His research spans contrast media optimization, artificial intelligence, radiomics, and early cancer diagnosis. Education: PhD, 2012: "Innovazione nella diagnosi e terapia delle patologie oncologiche" Specialization in Radiodiagnostic Medicine, 2008: "Quantificazione della placca coronarica con TC multistrato" MD, 2004: "Riduzione dell’intensità di segnale del miometrio dopo USPIO" Research Interests: Oncological Imaging Cardiovascular Imaging Artificial Intelligence and Radiomics Contrast Media Evaluation Response to Chemotherapy Assessment Publications: Over 31 peer-reviewed articles, 3 books, and 13 book chapters. His work addresses CT/MRI applications in colorectal, prostate, and bariatric imaging, with recent focus on AI-driven diagnostics and blockchain in radiology. Projects: AIRC 2013: "MR Imaging Biomarkers in Rectal Cancer" FIRB 2012: "GPU-based pattern recognition algorithms" Multicenter trials on coronary CT angiography and contrast media (Xenetix 350, I-CON)

Brian Kavanaughمشاهده پروفایل

استادیار

• Clinical Neuropsychology
• Pediatric Neuropsychology
• Executive Functions
• +۵ مورد دیگر

Brian Kavanaugh is an Assistant Professor of Psychiatry and Human Behavior at Brown University's Alpert Medical School and a pediatric neuropsychologist at Bradley Hospital and Rhode Island Hospital. Board-certified in clinical neuropsychology with pediatric subspecialty certification from the American Board of Professional Psychology, he directs research at the intersection of neurodevelopment and psychiatric disorders in youth. His educational trajectory includes a BA from Loyola University (2009), PsyD in Clinical Psychology from Antioch University New England (2014), followed by pediatric neuropsychology fellowship training at E. P. Bradley Hospital and Brown University (2014-2016). Dr. Kavanaugh's research pioneers brain-based interventions for childhood neuropsychiatric disorders using multimodal neuroimaging (MRI), electrophysiology (EEG), and neuromodulation (TMS). His work targets executive dysfunction across diagnostic boundaries, with particular emphasis on oscillatory dynamics in working memory, genetic neurodevelopmental disorders (ASH1L, SLC13A5, Christianson syndrome), and trauma-related neurocognitive sequelae. He actively develops translational approaches to modulate neural circuits underlying cognitive deficits. Analysis of his 15 most recent publications (2023-2025) reveals dominant research streams: 1) Neural oscillation biomarkers for cognitive deficits in ADHD and depression, 2) Lifespan phenotyping of rare genetic disorders, 3) Sex-specific neurodevelopmental manifestations, and 4) TMS treatment optimization using neurophysiological predictors. His work consistently bridges basic neuroscience with clinical intervention. Scientific recognition includes: NIMH K23 Career Development Award Brain & Behavior Research Foundation NARSAD Young Investigator Award Current research funding spans NIMH, Brain & Behavior Research Foundation, The Carol Peterson Foundation, and the COBRE Center for Neuromodulation. While specific advisees aren't documented in source materials, his leadership in the COBRE Center involves mentoring junior investigators in pediatric neuromodulation. Collaborative networks include neurologists, geneticists, and psychiatrists across Brown's clinical ecosystem. Dr. Kavanaugh operates within the Division of Child and Adolescent Psychiatry, leveraging institutional resources at Bradley Hospital's Pediatric Neuropsychology Service and the COBRE Center for Neuromodulation. His team integrates clinical assessment with advanced neurophysiological methods to develop circuit-targeted interventions for youth with complex neuropsychiatric presentations.

Ulrike Dydakمشاهده پروفایل

استاد

• Neuroimaging
• Magnetic Resonance Spectroscopy (MRS)
• Manganese Toxicity
• +۷ مورد دیگر

Ulrike Dydak is a Professor in the School of Health Sciences at Purdue University, Director of the Purdue Life Science MRI Facility, and Associate Director of the Women's Global Health Institute. She holds courtesy appointments in the Department of Radiology and Imaging Sciences at Indiana University School of Medicine and the Department of Speech, Language, and Hearing Sciences at Purdue. Mag.rer.nat, 1996, University of Vienna, Austria PhD, 2002, ETH Zürich, Switzerland Her research focuses on developing novel magnetic resonance imaging (MRI) and spectroscopy (MRS) techniques for clinical and life science applications. Key areas include neuroimaging of manganese and iron toxicity, GABA/glutamate quantification in neurological and psychiatric disorders, and 31P/1H MRS for liver cancer risk assessment. Her work bridges Medical Physics , Neurotoxicology , and Women's Health , with recent projects investigating occupational manganese exposure in welders, metabolic changes in postpartum depression, and accelerated spectroscopic imaging methods. Her 15 most recent publications emphasize advancements in 31P-MRSI for liver monitoring, GABA mapping in neurotoxicity, and metal quantification in the brain. These works highlight collaborations across institutions and technical innovations in relaxometry , compressed sensing , and multinuclear imaging . Outstanding Graduate Mentor Award (2018) Robert R. Landolt Excellence in Teaching Award (2018) Midcareer Research Award (2017) Purdue Faculty Scholar (2015) NIH/NIEHS Outstanding New Environmental Scientist Award (2011) As Director of the Purdue Life Science MRI Facility, she oversees neuroimaging infrastructure for academic research. Her grants include NIH/NIEHS R01 funding for manganese toxicity studies and international collaborations on metal exposure. She contributes to clinical translation of MRS techniques and serves in leadership roles for the International Society for Magnetic Resonance in Medicine (ISMRM) and NIH study sections.

• Abdominal Imaging
• Diagnostic Radiology
• Cardiac Imaging
• +۳ مورد دیگر

Maryam Rezvani, MD, is a Clinical Professor and Interim Section Chief of the Abdominal Imaging Section in the Department of Radiology and Imaging Sciences at the University of Utah. Board certified by the American Board of Radiology in Diagnostic Radiology, she is fellowship trained in Body Imaging and Cardiac Imaging with clinical expertise spanning MRI, CT, mammography, ultrasound, and X-ray modalities across abdominal, cardiac, breast, and gynecological domains. Education: Fellowship in Body MRI, Northwestern University Feinberg School of Medicine Residency in Radiology, Indiana University School of Medicine Internship in Transitional Program, Indiana University School of Medicine MD, Indiana University BS in Biology, University of Missouri - Columbia Undergraduate in General, Indiana University Her research centers on abdominal and gynecological imaging, with emphasis on liver tumor characterization, pelvic lesion analysis, and gynecological conditions like ovarian torsion. She employs multimodal imaging to enhance diagnostic precision and reduce false positives, particularly in emergency settings. Recent collaborative work explores anatomical pathologies through pictorial reviews and clinical correlations. Publications from 2021-2024 reveal a concentrated focus on abdominal radiology trends, including liver tumor mimics, sciatic foramen pathologies, and fat-containing pelvic lesions. These works demonstrate evolving expertise in cross-sectional imaging interpretation with strong clinical-pathological integration, often co-authored with specialists like Shaaban AM and Menias CO. Dr. Rezvani maintains active clinical roles at Huntsman Cancer Institute and University of Utah Hospital, directing abdominal imaging services while advancing diagnostic methodologies through scholarly contributions.

• Medical Imaging
• MRI Physics
• Vascular Imaging
• +۳ مورد دیگر

Seong-Eun Kim, PhD, is a research scientist with 25 years of experience specializing in advanced MRI techniques for clinical applications. Affiliated with the Department of Radiology & Imaging Sciences, his work bridges academic research and clinical validation. He holds a PhD from the University of Colorado Boulder and completed postdoctoral training at the University of Utah School of Medicine and University of Colorado School of Medicine. Research Focus: Dr. Kim develops novel MRI methodologies for vascular and neurological disorders, with emphasis on carotid plaque characterization, diffusion-weighted imaging optimization, intravascular contrast agents, and quantitative thermometry. His publications demonstrate consistent innovation in pulse sequence design (e.g., 3D Star of Star, STIR-Prep SOS) for improved diagnostic accuracy in stroke, cancer, and atherosclerosis. Key Contributions: Pioneering work includes rabbit models for intracranial atherosclerosis validation, methemoglobin as an MRI contrast agent, and motion-insensitive techniques for intraplaque hemorrhage detection. His recent research explores MRI thermometry, multi-scanner reproducibility studies, and clinical applications in head/neck cancer.

• Neuroradiology
• Interventional Pain Management
• Spine Interventions
• +۲ مورد دیگر

Miriam E. Peckham, MD, is an Assistant Professor in the Department of Radiology & Imaging Sciences. Her clinical expertise focuses on image-guided spinal interventions for pain management, with patient testimonials highlighting her proficiency in procedures like spinal injections. She serves on the Expert Panel on Neurological Imaging for the American College of Radiology. Dr. Peckham's research spans three primary domains: (1) Optimization of spine intervention techniques, including CT-guided injections and facet cyst treatments; (2) Healthcare disparities in radiology practice, examining biases in imaging utilization and procedural access; (3) Advanced neuroimaging applications, particularly for spinal pathology and COVID-related neurological complications. Her work emphasizes clinical efficiency and evidence-based guidelines. Analyzing her 15 most recent publications reveals consistent themes: spinal intervention efficacy, healthcare disparities in radiology, and advanced neuroimaging techniques dominate her research output. Methodologically, her work employs cohort studies, procedure validation, clinical guideline development, and case series with strong emphasis on practical clinical applications and healthcare system impact.

• Thoracic Imaging
• Diagnostic Radiology
• Medical Imaging
• +۳ مورد دیگر

Howard Mann, MBBCh , is a Professor in the Department of Radiology and a member of the Thoracic Interdisciplinary Cancer Program at Huntsman Cancer Hospital. His expertise spans thoracic imaging, computed tomography (CT), magnetic resonance imaging (MRI), and medical ethics. Education: Advanced degree from the University of the Witwatersrand (Johannesburg, South Africa); residency at Wilmington Medical Center and Yale-New Haven Medical Center; fellowship in chest radiology at Yale. Research Interests: Mann focuses on thoracic imaging, clinical trial methodology, and ethical challenges in biomedical research. His work includes studies on vaping-associated lung injury, CT artifact differentiation, and standardized protocols for clinical trials. Publication Trends: His recent articles emphasize thoracic imaging and clinical trial ethics , including diagnostics for vaping-related lung injury (2020), complications of atrial fibrillation ablation (2019), and foundational contributions to the SPIRIT 2013 guidelines for clinical trial reporting. Professional Affiliations: Board-certified by the American Board of Radiology, with a focus on thoracic imaging and cancer diagnostics. Mann's career integrates clinical practice, research ethics, and interdisciplinary cancer care.

• Neuroimaging
• Traumatic Brain Injury (TBI)
• Clinical Neuropsychology
• +۷ مورد دیگر

Elisabeth A. Wilde is an Associate Professor in the Department of Neurology at the University of Utah , with adjunct appointments in Physical Medicine & Rehabilitation and Radiology & Imaging Sciences. She serves as a Health Research Scientist at the VA Salt Lake City Healthcare System and directs the Neuroimaging Core for the DoD/VA LIMBIC-CENC consortium. Dr. Wilde co-leads the ENIGMA Working Group for TBI and contributes to the International Common Data Elements (CDE) initiative . PhD in Brigham Young University Postdoctoral Fellowship at University of Michigan Medical Center Research interests focus on advanced neuroimaging for TBI diagnosis, prognosis, and therapeutic monitoring. Key areas include: White Matter Integrity in Military TBI Neuroplasticity in Pediatric Brain Injury Neuroimaging Biomarkers for Concussion Neurodegenerative Patterns in Veterans Neuroimaging Harmonization Across Cohorts Sensorimotor Integration in Athletes Scientific contributions span over 140 peer-reviewed publications with a focus on ENIGMA consortium meta-analyses, LIMBIC-CENC studies, and military TBI outcomes. Her work integrates: Multimodal MRI/DTI Analysis Machine Learning for Aging Biomarkers Cognitive-Imaging Correlations Longitudinal TBI Trajectory Studies Neuroimaging in Sports Concussion PTSD-TBI Comorbidity Research

Rajesh Kumarمشاهده پروفایل

استاد

• Neuroscience
• Neuroimaging
• Sleep Medicine
• +۳ مورد دیگر

Rajesh Kumar is a Professor at the University of California at Los Angeles (UCLA), affiliated with the David Geffen School of Medicine and departments of Anesthesiology, Radiological Sciences, and Bioengineering. His research focuses on neural tissue integrity in obstructive sleep apnea (OSA) and heart failure (HF) using MRI and spectroscopy techniques. He has been continuously funded by NIH R01 grants since 2012 and has published extensively on brain structural and functional changes in cardiopulmonary and metabolic disorders. His recent publications highlight brain tissue alterations in conditions like heart failure, OSA, diabetes, and congenital heart disease. Key methodologies include diffusion tensor imaging, functional MRI, and glymphatic system analysis. Collaborative studies emphasize sex-specific differences, autonomic regulation, and therapeutic implications for neurocognitive disorders. Techniques: MRI, Diffusion Tensor Imaging, Functional MRI, Spectroscopy Conditions: Obstructive Sleep Apnea, Heart Failure, Type 2 Diabetes, Congenital Heart Disease Key Findings: Brain tissue integrity links to cognitive deficits, glymphatic dysfunction in OSA, and sex-based myelin changes in HF.

Chao Chenمشاهده پروفایل

استادیار

• Machine Learning
• Biomedical Informatics
• Topological Data Analysis
• +۵ مورد دیگر

Chao Chen is an Assistant Professor in the Department of Biomedical Informatics at Stony Brook University, focusing on topological data analysis (TDA) and its applications in machine learning and biomedical imaging. His work bridges theoretical insights from persistent homology and discrete Morse theory with practical challenges in robust learning and graph neural networks. Interests: Machine Learning, Biomedical Informatics, TDA, Persistent Homology Publications: Published in major machine learning and medical imaging conferences like MICCAI, NeurIPS, and CVPR. Service: Area chair for MICCAI, AAAI, CVPR, and NeurIPS. His research emphasizes the geometric and topological structures of data to enhance model robustness and interpretability, particularly in digital pathology and cancer analysis. Recent work includes TopoTxR for breast cancer imaging and MERGE for gene expression prediction using hierarchical graph-based GNNs. Key trends in his articles include leveraging TDA for adversarial robustness, spatially aware models for histopathology, and security analysis of AI systems. His methodologies often integrate theoretical guarantees with real-world biomedical applications. Chao Chen serves as an area chair in top-tier AI conferences and contributes to advancing topological and robust machine learning paradigms in biomedical research.