جست‌وجوی استاد و پژوهشگر

• Developmental Neuroscience
• Sensory Neuroscience
• Retinal Development
• +۵ مورد دیگر

James Cole is a Visiting Assistant Professor in the Department of Neuroscience at the School of Medicine, West Virginia University (WVU), where he joined the faculty in summer 2023. He holds a Ph.D. in neuroscience from the University of Virginia Medical School, earned in 2023, with research conducted under Dr. Xiaorong Liu focusing on aniridia and retinal development. Research Interests: His research centers on developmental and sensory neuroscience, particularly using small-eye mouse models to investigate Pax6-related aniridia, glaucomatous damage, and retinal layer disruption. He also explores the history of neuroscience and its intersections with the humanities, with a special focus on neuroaesthetics, symbolism, language, and the biological underpinnings of poetics. The recent publications in his profile highlight work in ophthalmic neuroscience and developmental disorders, indicating a strong trajectory in both experimental and theoretical neuroscience. His scholarly output reflects a blend of molecular and systems-level approaches to understanding neural development and function. Teaching Responsibilities: He teaches core courses including Introduction to the Neural Sciences (NRSC 101) , Biological Foundations of Behavior and Laboratory (NRSC 201) , and a First-Year Seminar (NRSC 191), contributing to undergraduate neuroscience education at WVU. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no mention of advised students or funded grants in the current profile. However, his active research agenda suggests potential for future mentorship and grant-supported projects. Labs and Research Teams: During his doctoral training, James worked in the laboratory of Dr. Xiaorong Liu at the University of Virginia Medical School. At WVU, he is expected to contribute to or establish collaborative research efforts in sensory and developmental neuroscience.

Kelsey Moodyمشاهده پروفایل

پژوهشگر

• Translational research
• Biology of aging
• Molecular Biology
• +۳ مورد دیگر

Kelsey Moody is an Affiliated Faculty member in the Department of Physics at Syracuse University and serves as CEO and Founder of ICHOR Therapeutics. Her research focuses on translational research and the biology of aging, with a particular emphasis on molecular mechanisms underlying longevity and age-related diseases. Education includes a PhD in Biochemistry and Molecular Biology from the University of Miami (2019), an MBA in Risk Management from Concordia University Wisconsin (2013), and a BS in Cellular Biochemistry and Psychology from SUNY Plattsburgh (2010). Her research interests span translational medicine, aging biology, and drug development. Key areas include nanoparticle toxicity studies, DNA repair mechanisms in long-lived species, and enzymatic solutions for age-related ocular diseases like macular degeneration. Her work bridges basic science with clinical applications, aiming to extend healthspan through molecular interventions. Notable publications (2017–2020) explore topics such as C60 toxicity, SIRT6-mediated DNA repair, and A2E burden reduction in retinal diseases. Awards include recognition as a 2018 '40 under Forty' by the CNY Business Journal and a 2019 Groundbreaker Achievement Award nomination in MedTech. Moody’s professional activities include leading ICHOR Therapeutics, a company likely focused on translating her research into therapeutic solutions. Her work exemplifies the intersection of academic research and biotech entrepreneurship.

Mark Draelosمشاهده پروفایل

استادیار

• Medical Robotics
• Biomedical Imaging
• Optical Coherence Tomography
• +۴ مورد دیگر

Mark Draelos is an Assistant Professor in Robotics and Ophthalmology at the University of Michigan, directing the Image-Guided Medical Robotics (IGMR) Lab. His work integrates robotics, biomedical imaging, and clinical medicine to develop medical robots with real-time image feedback, focusing on ophthalmic applications like optical coherence tomography (OCT) and surgical navigation. Education: MD and PhD in Biomedical Engineering from Duke University, MS in Electrical Engineering, and dual BS in Electrical/Computer Engineering and Physics from North Carolina State University. Research interests span medical robotics , biomedical imaging , adaptive scanning algorithms , and real-time OCT systems , with applications in corneal surgery, retinal imaging, and virtual reality visualization. His lab develops technologies for autonomous OCT , robot-assisted microsurgery , and low-cost gaze tracking . Recent publications highlight advancements in adaptive scanning to break the framerate-resolution limit, robotically aligned OCT for motion compensation, and immersive VR visualization of live OCT volumes. These works emphasize generalizable robotic designs applicable to broader medical interventions. Scientific contributions and recognition include: Duke VisionFest First Place Research Talk KUKA Innovation Award Finalist Multiple conference presentation awards Dr. Draelos mentors students in robotics and biomedical engineering, serves as a reviewer for leading journals, and holds patents in robotic surgical assistance. His grants include Duke Graduate School Travel Awards and IEEE Robotics and Automation Society support.

Marcin Grzegorzekمشاهده پروفایل

استاد

• Medical Informatics
• Artificial Intelligence in Medicine
• Deep Learning
• +۳ مورد دیگر

Prof. Marcin Grzegorzek is a Professor at the Institute of Medical Informatics , University of Lübeck, Germany. His research focuses on AI-driven medical imaging, deep learning applications in healthcare, and sensor data analysis for assistive technologies. Key areas include medical image processing, wearable sensor systems, and clinical decision support systems. Research Groups: Medical Data Science Lab, Medical Deep Learning Lab, and Junior Research Group on Movement Disorders. Key Projects: Development of AI algorithms for OCT-based retinal analysis, lymph node segmentation, and real-time health monitoring using wearables. His work bridges clinical needs with advanced computational methods, contributing to improved diagnostics and personalized medicine. Over 100+ peer-reviewed publications reflect his expertise in medical informatics and interdisciplinary collaborations.

Carlos Subausteمشاهده پروفایل

استاد

• Host-Pathogen Interactions
• Cell Signaling in Inflammatory Disorders
• Diabetic Retinopathy
• +۳ مورد دیگر

Carlos Subauste, MD, is a Professor in the Departments of Medicine and Pathology at Case Western Reserve University's School of Medicine. His research focuses on cell signaling pathways in host-pathogen interactions (using Toxoplasma gondii as a model) and inflammatory disorders like diabetic retinopathy and inflammatory bowel disease. He leads the Subauste Laboratory, which develops therapies targeting host-derived signaling pathways to combat infections and inflammatory diseases. Research Interests: Host-pathogen interactions, CD40 signaling in inflammation, autophagy regulation, and translational studies in animal models. Subauste's lab investigates CD40's role in diabetic retinopathy pathogenesis, including its effects on Müller cells, endothelial cells, and inflammatory mediators (e.g., VEGF, nitric oxide). Recent work includes CD40-blocking peptides to inhibit disease progression. Publications highlight mechanistic insights into CD40-driven inflammation and therapeutic strategies. Grants supported by NIH (e.g., P30 EY011373, R01 EY019250) fund his research. His work spans cell signaling, immunology, and translational medicine, with a focus on bridging basic science and clinical applications.

Peter Campochiaroمشاهده پروفایل

استاد

• Ophthalmology
• Retinal Diseases
• Oxidative Stress
• +۷ مورد دیگر

Peter Campochiaro is a Professor of Ophthalmology at the Johns Hopkins School of Medicine, Department of Ophthalmology, where he conducts cutting-edge research on retinal diseases. He is affiliated with the Neuroscience Training Program and the Visual Neuroscience Training Program, reflecting his interdisciplinary approach. His research focuses on the neurobiology of retinal degeneration, particularly retinitis pigmentosa (RP) and age-related macular degeneration (AMD). He investigates the role of oxidative stress in secondary cone death in RP and the transition to neovascular AMD, exploring therapeutic strategies such as antioxidant supplementation and gene therapy to enhance endogenous defense systems. His recent publications demonstrate a strong trend in developing sustained delivery systems for anti-VEGF agents, gene therapy vectors (AAV), and nonviral nanoparticles for suprachoroidal delivery. His work spans basic science, translational models, and clinical trials, especially in diabetic macular edema and neovascular AMD. Professor of Ophthalmology, Johns Hopkins University Research focus: Oxidative stress, retinal degeneration, gene therapy Active in clinical trials for sustained ocular drug delivery Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Dr. Campochiaro mentors numerous graduate students and postdoctoral researchers, many of whom appear as co-authors on his publications. His research is supported by extensive grant funding, evident from multi-center clinical trials and advanced therapeutic development projects, particularly in ocular gene therapy and drug delivery systems. Labs and Teams: He leads a research team focused on molecular aspects of retinal repair and regeneration, collaborating with experts in biomaterials, nanotechnology, and computational modeling to innovate ocular therapeutics.

• Retinal Imaging
• Optical Coherence Tomography Angiography (OCTA)
• Glaucoma Research
• +۳ مورد دیگر

Corey A. Smith is a Professor in the Department of Ophthalmology & Visual Sciences at Dalhousie University's Faculty of Medicine, focused on retinal imaging and optical coherence tomography angiography (OCTA) . His research balances experimental methods with clinical relevance , emphasizing 3D image analysis and artificial intelligence applications in understanding retinal diseases like glaucoma. Research priorities : interdisciplinary collaboration, OCTA optimization, clinical data integration Students : Masters and Honours students in biomedical engineering and medical sciences Recent publications highlight his work in macular perfusion density , ganglion cell asymmetry , and transsynaptic vascular changes . Awards and educational background are not explicitly mentioned in the provided texts, though opportunities for trainees are advertised.

Malihe Javidiمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Medical Imaging
• Artificial Intelligence
• +۵ مورد دیگر

Malihe Javidi serves as a Research Fellow on Computer Vision in Medicine at the Usher Institute within the College of Medicine and Veterinary Medicine, University of Edinburgh. She concurrently holds an Assistant Professor position in the Computer Engineering Department at Quchan University of Technology, Iran, where she has maintained official cooperation since 2018. Previously, she worked as a Research Associate Fellow in Biomedical Signal and Image Processing at Heriot-Watt University. Her academic credentials from Ferdowsi University of Mashhad, Iran include: Bachelor's in Computer Engineering (2006, with honors) Master's in Computer Engineering (2008, with honors) Ph.D. in Artificial Intelligence (2018) Dr. Javidi's research centers on applying computer vision and deep learning to medical diagnostics, with emphasis on ophthalmology and cardiology. She develops AI-driven tools for retinal image analysis, ECG interpretation, and virtual histology staining, targeting early detection of ocular, cardiovascular, and neurodegenerative diseases through advanced image processing techniques. Her recent publications reveal a cohesive focus on medical image synthesis and disease prediction systems. Key contributions include synthetic ECG datasets for cardiac monitoring, community-based retinal repositories for multi-disease forecasting, and fluorescence lifetime imaging innovations for virtual pathology. These works consistently bridge computational methods with clinical applications to enhance diagnostic precision. Affiliated with the Centre for Medical Informatics at the Usher Institute, she participates in interdisciplinary teams advancing data-driven healthcare solutions through medical informatics and artificial intelligence research.

• Medical Informatics
• Ophthalmology
• Diabetes Research
• +۵ مورد دیگر

Claire Tochel is a Research Fellow at the Centre for Medical Informatics within the Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh. Her work focuses on medical informatics applications in ophthalmology, diabetes, cardiovascular disease, and neurodegenerative disorders using retinal imaging and large-scale health data. Her primary research interests include: Medical Informatics Ophthalmology and Optometry Diabetes and its complications Cardiovascular Disease Neurodegenerative Diseases Retinal Imaging biomarkers Systematic Reviews Epidemiology and population health Recent publications demonstrate trends in leveraging retinal vascular patterns for systemic disease prediction, analyzing microvascular complications in diabetes during infectious outbreaks like COVID-19, and developing novel data linkage methodologies. Her work frequently utilizes UK Biobank data and the Scottish Collaborative Optometry-Ophthalmology network (SCONe) repository. Scientific Awards: No scientific awards were mentioned in the provided sources. Advising and Grants: No information on student advising or research grants was found. Labs and Teams: Active contributor to the Scottish Collaborative Optometry-Ophthalmology network (SCONe), developing community-acquired retinal image repositories. Core member of the Centre for Medical Informatics at the University of Edinburgh, focusing on data-driven population health research.

• Optical Coherence Tomography
• Ophthalmoscopy
• Biological Marker
• +۵ مورد دیگر

Luisa Sanchez Brea serves as an Assistant Professor in the Department of Ophthalmology at Erasmus MC, Rotterdam, with additional affiliation in Radiology & Nuclear Medicine. Her research integrates advanced ophthalmic imaging technologies with artificial intelligence to revolutionize diagnostic capabilities in eye care, focusing on high-resolution visualization of retinal structures and pathological changes. Her primary research domains include Optical Coherence Tomography (OCT), adaptive optics imaging, and AI-driven analysis of retinal pathologies. She specializes in photoreceptor mosaicism, optic nerve head analysis, and biological marker identification for diseases like diabetic retinopathy and retinal pigment epitheliitis. Her work bridges computational methods with clinical ophthalmology to develop automated segmentation tools and early diagnostic systems. Recent publications (2024-2025) reveal a strong trajectory in AI-enhanced ophthalmic imaging, with breakthroughs in cone photoreceptor detection, device-agnostic OCT analysis, and capillary abnormality identification in diabetic retinopathy. Her methodology consistently combines scanning laser ophthalmoscopy, OCT, and adaptive optics to achieve cellular-level retinal visualization, establishing new standards for precision diagnostics in ophthalmology. Dr. Sanchez Brea operates within Erasmus MC's interdisciplinary research ecosystem, collaborating with radiologists, nuclear medicine specialists, and computer scientists. Her team leverages cutting-edge imaging infrastructure and machine learning frameworks to develop clinical decision support systems, with particular emphasis on translating computational advances into practical diagnostic tools for retinal diseases.

Catherine Jamisonمشاهده پروفایل

پژوهشگر

• Diabetic Retinopathy
• Macular Telangiectasia
• Bladder Cancer Biomarkers
• +۳ مورد دیگر

Catherine Jamison is a Researcher at the Queen's University Belfast , affiliated with the School of Medicine, Dentistry and Biomedical Sciences and the Centre for Public Health . With over two decades of research activity, she specializes in diabetic retinopathy screening, retinal imaging, and biomarker discovery for diabetes-related complications. Research Focus : Improving diagnostic accuracy through AI and ethnic diversity in retinal image datasets Key Collaborations : MacTel Research Group, Northern Ireland Diabetic Eye Screening Programme Her work intersects medical imaging , public health epidemiology , and clinical data science . Recent publications demonstrate her contributions to OCT-based diagnostics and pandemic-related ocular comorbidities. She actively engages in academic collaborations, hosting international researchers from Tanzania and other countries. Scientific contributions include: Developing self-supervised learning frameworks for retinal disease detection Advancing diabetic retinopathy screening standards Investigating cross-disciplinary links between diabetes and cancer markers

• Cardiology
• Internal Medicine
• Hypertension
• +۱۲ مورد دیگر

Yusuf Sener is a Researcher at Erasmus MC in the Cardiology department. His work focuses on cardiovascular disease, hypertension, and metabolic disorders, with a strong emphasis on systematic reviews and meta-analyses. Systematic Review Atherosclerosis Blood Pressure Diabetes Sarcopenia Retinal Vessels Research Trends Recent publications highlight Yusuf Sener's contributions to cardiovascular risk assessment, particularly in nocturnal blood pressure dynamics, retinal microcirculation, and the impact of SGLT2 inhibitors on atherosclerosis. His collaborations span topics like inherited cardiac disorders, lupus nephritis complications, and mechanical circulatory support challenges. Scientific Output He has co-authored high-impact reviews in journals such as Current Hypertension Reports and American Journal of Preventive Cardiology , demonstrating expertise in meta-analytic techniques and cardiovascular pathophysiology.

Oliver Baumannمشاهده پروفایل

استاد

• Applied and Technical Optics
• Experimental Physics
• Scientific Image Processing
• +۳ مورد دیگر

Oliver Baumann serves as Professor of Mathematics and Physics at the Department of Industrial Engineering within the Faculty of Engineering and Computer Science at Hamburg University of Applied Sciences (HAW Hamburg). His office is located in Room 0.17b at Ulmenliet 20, 21033 Hamburg, with office hours held Wednesdays 10:00–11:00 by email appointment. His academic background includes a physics diploma from CAU Kiel, a diploma thesis in applied optics at JGU Mainz, and a doctorate in astronomy from MPIA Heidelberg. Prior to his professorship, he worked as a scientific employee at Carl Zeiss AG in Oberkochen. Baumann's research spans applied and technical optics , experimental physics , and scientific image processing , with emphasis on optical measurement technology and precision mechanical-optical systems. His work bridges theoretical physics with industrial applications in aerospace, medical technology, and optical instrumentation. Key projects include radar system optimization for field mouse detection, fluorescence imaging evaluation in medical contexts, and photovoltaic-heat transport system design. His publications reveal strong focus on optical engineering (75% of works), instrumentation patents (60%), and educational methodologies (20%). Recent trends show increasing specialization in medical optics applications since 2016, alongside consistent contributions to astronomical instrumentation. Graduates' award for particularly dedicated teachers: 'Golden Duck' 2023 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2019 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2018 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2017 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2016 Baumann actively supervises graduate theses while serving as Chairman of the Examination Board for HWI bachelor's and master's programs. He holds multiple institutional roles including BAFöG representative, Deputy member of Faculty Council LS, and DAAD reviewer for Nigeria (PTDF). His professional affiliations include the European Optical Society (EOS), German Society for Applied Optics (DGaO), German Physical Society (DPG), and University Teachers' Association (hlb). His research activities center around precision mechanical-optical systems development, with emphasis on imaging technologies and measurement instrumentation. Current projects focus on optical metrology applications in aerospace and medical technology sectors.

• Ophthalmology
• Nanomedicine
• Oxygen Nanobubbles
• +۵ مورد دیگر

Michael S Tsipursky is a Clinical Assistant Professor in Clinical Sciences at the University of Illinois College of Medicine. His research focuses on innovative approaches to address hypoxia-related conditions, particularly in ophthalmology and wound healing, with a strong emphasis on translational applications of nanotechnology. Dr. Tsipursky's research interests span several interconnected fields: Oxygen nanobubble technology for therapeutic applications Retinal hypoxia and related eye diseases including choroidal neovascularization Advanced wound healing techniques using hydrogel-based delivery systems Diabetic macular edema treatments and management Nanomedicine applications in ophthalmology Visual acuity preservation strategies His recent publications demonstrate a cohesive research trajectory focused on developing novel oxygen delivery systems using nanobubble technology, with dual applications in ophthalmic conditions and wound healing. The work bridges fundamental nanotechnology with clinical medicine, showing strong potential for translational impact. His fingerprint analysis reveals Oxygen Nanobubbles (100%), Nanobubble Pharmacology (100%), Hypoxia (60%), and Choroidal Neovascularization (52%) as his dominant research areas. Dr. Tsipursky maintains extensive collaborations, most notably with J. Irudayaraj, as evidenced by multiple co-authored publications across disciplines. His research has garnered significant attention, with several articles receiving citations, Mendeley readership, and news coverage. The 2024 hydrogel-based oxygen delivery paper was picked up by news outlets and has substantial academic readership.

Britta Westnerمشاهده پروفایل

استادیار

• Language and memory intersection
• Language and vision intersection
• Visual processing from retina to cortex
• +۵ مورد دیگر

Britta Westner is an Assistant Professor and researcher at the Donders Institute and Radboud University Medical Center (Radboudumc) in Nijmegen, the Netherlands. She works in the Department of Medical Neuroscience and serves as an Associate Investigator and Collaborator in the Lab of Vitória Piai, focusing on language production and memory research. Her academic journey spans Radboud University, Aarhus University, and the University of Konstanz. Her educational background includes: PhD in Neuroscience (2017) from University of Konstanz MSc in Psychology (2013) from University of Konstanz BSc in Psychology (2011) from University of Konstanz Westner's research centers on the intersection of language and memory , with complementary interests in language and vision interactions . Her expertise spans visual processing from retina to cortex and specializes in source reconstruction methods and MEG decoding for electrophysiological data. As a core developer of MNE-Python since 2019 , she actively promotes open-source neuroscience tools. Her methodological innovations are evident in publications addressing beamforming techniques, functional connectivity assessment, and predictive language processing. Her publication record reveals a dual trajectory: advancing M/EEG analysis methodologies while exploring cognitive neuroscience questions. Recent work demonstrates particular strength in developing robust approaches for source reconstruction, functional connectivity analysis, and decoding neural representations during language tasks, often bridging technical innovation with substantive cognitive questions. Her scientific recognition includes: Marie Curie Postdoctoral Fellowship (EU Horizon 2020 scheme, 2020-2022) Core developer role in MNE-Python (since 2019) Westner actively contributes to neuroscience education through teaching workshops on MEG/EEG data analysis and MNE-Python. She developed comprehensive teaching resources including source reconstruction pipelines in FieldTrip specifically for language and dyslexia research. Her Marie Curie Fellowship supported research on visual anticipation and memory at the Donders Institute, though progress was impacted by the COVID-19 pandemic. She maintains close collaboration with the Lab of Vitória Piai at the Donders Institute, where she has developed specialized analysis pipelines and teaching materials. Her GitHub repositories demonstrate active contributions to open-source neuroscience tools, with particular focus on making MEG/EEG analysis more accessible through well-documented workflows and educational materials.