جست‌وجوی استاد و پژوهشگر

Ana Solodkinمشاهده پروفایل

استاد

• Computational Neuroscience
• Neurodegenerative Diseases
• Alzheimer's Disease
• +۴ مورد دیگر

Ana Solodkin is a Professor in the Department of Neuroscience at the University of Texas at Dallas (UT Dallas), affiliated with the School of Behavioral and Brain Sciences. Her research focuses on computational neuroscience and neurodegenerative diseases, particularly Alzheimer's and Parkinson's. She holds a PhD in Biophysics from CINVESTAV and NIH, with postdoctoral training in cognitive neurology at the University of Iowa. Her work combines neuroimaging (MRI, DTI) with large-scale computational models like The Virtual Brain (TVB) to study brain dynamics and identify biomarkers for early disease detection. Key projects include modeling Alzheimer's progression, analyzing Parkinson's motor symptoms, and understanding healthy vs. pathological aging. Collaborations span institutions in Canada, France, and Spain. Publications emphasize biomarker discovery, network modeling, and clinical applications. Her lab develops tools like TVB-edupack for educational and research use. Ongoing work bridges molecular pathways with brain simulations to enhance diagnostics and therapeutic strategies. Education: PhD in Biophysics, CINVESTAV and NIH (1991) MSc in Biophysics, Polytechnic (CINVESTAV), Mexico (1982) BSc in Neurophysiology, Universidad Anahuac, Mexico (1978) Awards: Not explicitly listed in provided texts. Grants/Advising: Collaborates on NIH-funded projects and supervises interdisciplinary teams. Projects include early AD diagnosis (ADNI initiative), cerebellar ataxia studies, and stroke recovery modeling. Labs/Teams: Leads the Virtual Brain initiative, integrating computational neuroscience with clinical research for personalized medicine.

Jiyoung Kimمشاهده پروفایل

استاد

• Nanoelectronics
• Atomic Layer Deposition (ALD)
• Ferroelectric Materials
• +۵ مورد دیگر

Professor Jiyoung Kim is a faculty member at The University of Texas at Dallas (UTD) in the Erik Jonsson School of Engineering and Computer Science, Department of Materials Science & Engineering. She holds a Ph.D. in Materials Science and Engineering from the University of Texas at Austin (1994), an M.S. and B.S. in Metallurgical Engineering from Seoul National University (1988, 1986). Her research focuses on nanoelectronics, atomic layer deposition (ALD), ferroelectric materials, and next-generation CMOS technology. Key projects include developing novel ALD applications for high-k gate dielectrics, memory devices, and nano-sensors. She has led grants totaling over $500,000, including NSF-NER and SEMATECH-funded projects. Notable awards include the 2004 Korean Ministry of Science and Technology Outstanding Research Award and 'Who's Who in Science and Engineering' (2000). Her lab collaborates internationally, with recent work on EUV lithography, ferroelectric transistors, and low-thermal-budget materials. Advising over 20 graduate students and postdocs, her team includes recent PhD students like Hyunah Sung and Soham Shirodkar. Research is supported by industry partners such as Samsung and ASM America. Research interests span gate stack engineering, nanostructured materials, and ALD-derived applications. Her team explores ferroelectric Hf0.5Zr0.5O2 capacitors for FRAM, EUV photoresist materials, and 2D semiconductor integration. Recent breakthroughs include low-temperature ferroelectric fabrication and tunable vanadium dioxide devices. The lab's infrastructure includes advanced characterization tools and cleanroom facilities at UTD.

• Perception
• Cognition
• Cognitive Neuroscience
• +۲ مورد دیگر

Tomas Paus is a Professor at the University of Toronto, specializing in Neuroscience with a focus on Perception, Cognition, Cognitive Neuroscience, Systems Neuroscience, and Population Neuroscience . His work spans structural and functional brain organization, adolescent brain development, and interdisciplinary approaches integrating epidemiology, genetics, and neuroimaging. University : University of Toronto Email : tomas.paus@utoronto.ca Dr. Paus’s research explores the structural and functional dynamics of the human brain. Early work focused on cerebral cortex organization through lesion studies, neuroimaging, and brain stimulation. Recently, he pioneered Population Neuroscience , examining child and youth brain health via large-scale cohorts. His contributions include methodological innovations in voxel-wise analysis (Science 1999), combining brain stimulation with imaging (Journal of Neuroscience 1997), and frameworks for anterior cingulate cortex function (Nature Reviews Neuroscience 2001). His publications address white matter development (Journal of Neuroscience 2008, NeuroImage 2015), emphasizing axonal transport and adolescent cognitive maturation. Current work bridges molecular (omics) and community-level analyses (geospatial mapping of environments). His work has been cited over 54,000 times (h-index: 111) and culminated in the 2013 book Population Neuroscience (Springer). He continues to influence systems neuroscience through cross-disciplinary frameworks.

Congyu Liaoمشاهده پروفایل

استادیار

• Magnetic Resonance Imaging
• MR Physics
• Quantitative MRI
• +۴ مورد دیگر

Congyu Liao, PhD, is an Assistant Professor in the Department of Radiology and Biomedical Imaging and Technical Director of the Neuroimaging Technology Research Center (NTRC) at the University of California, San Francisco (UCSF). He completed his PhD in Biomedical Engineering at Zhejiang University (2018) and postdoctoral training at the Martinos Center (MGH/Harvard) before joining UCSF in 2025. PhD, Biomedical Engineering – Zhejiang University (2018) BS, Control Technology and Instrument Science – China University of Geosciences (2013) Postdoctoral Research Fellow – Harvard Medical School (2021) Instructor – Stanford University (2025) Dr. Liao specializes in advanced diffusion and quantitative MRI techniques for neurodevelopment and neurological disorders. His work focuses on distortion-free imaging, high-resolution myelin-water fraction mapping, and AI-driven MRI reconstruction. He has pioneered methods like gSlider-BUDA for mesoscale diffusion MRI and Deli-CS for spatio-temporal reconstruction. Congyu’s 15 most recent publications span topics in MR fingerprinting, diffusion imaging, and deep learning applications in MRI. Key trends include ultra-high-resolution brain imaging at 7 Tesla, reduced cross-scanner variability with vendor-agnostic sequences, and real-time motion correction for distortion-free dMRI. 2022: Junior Fellow, ISMRM 2022: Summa Cum Laude Merit Award, ISMRM 2021–2018: Multiple Cum Laude/Magna Cum Laude Merit Awards, ISMRM 2015: Educational Stipend, ISMRM He leads NIH-funded research (R01HD114719) on infant brain development imaging and has mentored collaborations with institutions like Stanford, Harvard, and MGH. His lab integrates MR physics, computational methods, and clinical translation to address challenges in pediatric and neurodegenerative diseases.

Raquel Gil-Gouveiaمشاهده پروفایل

پژوهشگر ارشد

• Migraine
• Headache Disorders
• Neuroscience
• +۳ مورد دیگر

Raquel Gil-Gouveia is an active Research Fellow at the Center for Interdisciplinary Research in Health (CIIS) within the School of Health Sciences at Universidade Católica Portuguesa, holding an external position at Hospital da Luz. Her work focuses on migraine pathophysiology and headache management, with significant contributions to national and international consensus guidelines. Her research interests center on migraine neurobiology, particularly investigating peri-ictal brain changes, white matter microstructure alterations, and cognitive function preservation during attacks. Key areas include calcitonin gene-related peptide mechanisms , monoclonal antibody therapies , and working memory dynamics in headache disorders, leveraging advanced neuroimaging techniques to understand pain perception. Analysis of her recent publications reveals three dominant research trajectories: (1) neuroimaging studies on migraine pathophysiology using fMRI and diffusion tensor imaging, (2) development of national clinical guidelines for headache management in Portugal, and (3) leadership in global headache advocacy through the European Headache Federation and Lifting The Burden campaign. Her work consistently bridges basic neuroscience with clinical implementation. Key projects: BBH: The Bayesian Brain Hypothesis and pain perception in migraine (2022-2023) Collaborations: Extensive international networks across 15+ countries, with high-impact partnerships in headache epidemiology and treatment guidelines development.

Karen Chengمشاهده پروفایل

استادیار

• Radiation Oncology
• Intensity Modulated Radiation Therapy
• Stereotactic Body Radiation Therapy
• +۱۶ مورد دیگر

Karen Cheng, M.D., is an Assistant Clinical Professor in the Department of Radiation Oncology at City of Hope, with clinical practice sites in Riverside and San Bernardino, California. She is actively involved in clinical care and academic medicine, specializing in advanced radiation therapies including intensity-modulated, stereotactic, and brachytherapy techniques for cancers of the breast, cervix, brain, head and neck, and prostate. Her educational background includes a Doctor of Medicine from Boston University School of Medicine (2015–2019) and a Bachelor of Science in Bioengineering from the University of California at Berkeley (2011–2015). She completed an internal medicine internship at North Shore University Hospital / LIJ Medical Center and a radiation oncology residency at USC/Los Angeles General Medical Center, where she served as chief resident. Dr. Cheng’s research spans radiation oncology innovation, radiomics, AI in imaging, and health equity. Her recent publications focus on technical advancements in brachytherapy, hippocampal-sparing techniques, radiomics datasets, and patient understanding of radiation therapy in diverse populations. This reflects a strong trend toward integrating technology with patient-centered care and addressing disparities in oncology. American College of Radiation Oncology Excellence in Mentorship Award Keck School of Medicine DEI Leaders Scholarship Boston University School of Medicine Anne and David Mischel Cancer Research Award MassChallenge Startup Accelerator Finalist Clinton Global Initiative University Innovation Fund Awardee Multiple grants and leadership awards in innovation, diversity, and research Dr. Cheng has been involved in numerous research projects and clinical initiatives, supported by grants from organizations such as the American Society of Clinical Oncology, Chinese American Medical Society, and Grand Challenges Canada. She has also participated in innovation competitions and hackathons, demonstrating a strong commitment to translational research and community impact. She is fluent in English, Mandarin, Taiwanese, and Spanish, enhancing her ability to serve diverse patient populations. She contributes to academic knowledge through a robust publication record and participation in developing clinical trials at City of Hope, a renowned institution for cancer care and research.

• Image Processing
• Neuroscience
• Adaptive Smoothing Methods
• +۴ مورد دیگر

Dr. Karsten Tabelow is a researcher at the Weierstrass Institute for Applied Analysis and Stochastics in Berlin, Germany, affiliated with the group Stochastic Algorithms and Nonparametric Statistics . His work bridges mathematical statistics and biomedical imaging through advanced computational methods. PhD in physics (2001) and Diplom in physics (1997) from Freie Universität Berlin Key projects: Matheon grants F10 and A3 on biomedical imaging Current focus: adaptive smoothing , quantitative MRI , and nonparametric statistical modeling His research has produced foundational contributions in neuroimaging software , including R packages adimpro , dti , fmri , and qmri , as well as SPM toolboxes like ACID-Toolbox and aws4SPM . He extends these methods to inverse problems in magnetic resonance and electron microscopy. Collaborations span neuroscience (Charité), semiconductor physics (Leibniz Institute), and biomedical engineering (Max Planck Institute). Recent work includes physics-informed data assimilation for intracranial pressure estimation and mathematical research data infrastructure through the MaRDI initiative under Germany's NFDI. Publications emphasize open science principles using R/knitr workflows. Grants include Matheon projects and MaRDI development. Software contributions are distributed under GNU GPL within R and SPM ecosystems. Talks highlight applications in presurgical planning , in-vivo histology , and cross-disciplinary data management .

• Systemic Lupus Erythematosus
• Postmenopause
• Postmenopausal Women
• +۵ مورد دیگر

Mimi Kim, Sc.D., is a distinguished Professor in the Department of Epidemiology & Population Health at Albert Einstein College of Medicine and Montefiore Einstein Comprehensive Cancer Center. With an impressive h-index of 65 and over 15,467 citations across 272 publications, she has established herself as a leading researcher in her field. Her work bridges clinical medicine and population health, with significant contributions to understanding autoimmune disorders and their impact on vulnerable populations. Albert Einstein College of Medicine - Epidemiology & Population Health Montefiore Einstein Comprehensive Cancer Center National Institute of Arthritis and Musculoskeletal and Skin Diseases National Center for Advancing Translational Sciences Dr. Kim's research primarily focuses on systemic lupus erythematosus, particularly examining adverse pregnancy outcomes in women with autoimmune conditions. Her work extends to postmenopausal health, breast cancer epidemiology, and the statistical analysis of medical outcomes using hazard ratios and confidence intervals. She employs sophisticated epidemiological methods to address critical questions in women's health and chronic disease management. Analysis of her recent publications reveals a strong interdisciplinary approach, spanning rheumatology, neuroimaging, and oncology. Her work on the IMPACT trial demonstrates leadership in clinical research for antiphospholipid syndrome, while her neuroimaging studies explore age-related brain changes. This breadth indicates a researcher who successfully bridges traditional disciplinary boundaries to address complex health questions. Dr. Kim has secured significant research funding as both Principal Investigator and Co-Principal Investigator on multiple NIH grants, including the Einstein-Montefiore Clinical and Translational Science Award Hub and research focused on adverse pregnancy outcomes in women with systemic lupus erythematosus. Her grant portfolio demonstrates sustained support from major funding agencies for her innovative research programs spanning over a decade. Her laboratory and research team operate at the intersection of clinical medicine and population health, collaborating with rheumatologists, obstetricians, neurologists, and oncologists. The Montefiore Einstein Comprehensive Cancer Center affiliation suggests active participation in multidisciplinary cancer research efforts, particularly regarding epidemiological aspects of cancer in specific patient populations.

• Neuroimaging
• Neuromuscular Disorders
• Brain Development
• +۳ مورد دیگر

Timothy Koscik is an Associate Professor in the Department of Pediatrics Neurology Research at the College of Medicine, University of Arkansas for Medical Sciences. His research laboratory focuses on advanced neuroimaging techniques to investigate neurological disorders, brain development, and neurovascular pathologies. Research address: 4301 W Markham, Little Rock, AR 72205. Research interests span: Neurodegenerative disorders : Myotonic dystrophy, Huntington's disease, and spinocerebellar ataxia using diffusion tensor imaging and volumetric analysis Neurovascular pathophysiology : 3D mapping of aneurysm wall enhancement and rupture risk stratification Developmental neuroscience : Brain maturation trajectories in pediatric populations including cleft lip/palate infants and cancer survivors Advanced MRI methodologies : Development of segmentation algorithms (Deep LOGISMOS) and multimodal brain atlases Publication analysis reveals consistent focus on: Longitudinal tracking of neurological disorders using structural/functional MRI Quantitative biomarkers for disease progression (white matter integrity, blood-based markers) Clinical-neuroimaging correlations in symptomatic presentations Sex differences in brain structure/function across neurodevelopmental contexts Active grants include: ACHRI Flow Through: ACRI SAF Recruitment (PI, 2022-2023) Brain Development and Pre-Speech Function in Infants with Isolated Oral Clefts (PI, 2022-2023)

Yu Huangمشاهده پروفایل

دانشیار

• BioMEMS
• biomaterials
• microfluidics
• +۷ مورد دیگر

Yu Huang is an Associate Professor in the Department of Biological Engineering at Utah State University's College of Engineering, where he leads the MicroBrain Laboratory. His research focuses on BioMEMS and microtissue engineering of neurons, tumors, and stem cells with applications in neuroscience, regenerative medicine, and cellular therapy. Dr. Huang earned his educational credentials from prestigious institutions: PhD in Materials Science, University of Wisconsin-Madison, 2011 MS in Materials Science, University of Wisconsin-Madison, 2010 BS in Chemistry, Beijing University, 2001 Dr. Huang's research interests center on BioMEMS (microfabrication technology for biomedical applications), biomaterials, microfluidics, and tissue engineering. His laboratory specializes in microtissue engineering of neurons, tumors, and stem cells, with applications spanning neuroscience, neuro-engineering, regenerative medicine, cell assay development, and cellular therapy. His work bridges engineering principles with biological systems to create innovative solutions for healthcare challenges. His publication record demonstrates consistent focus on neural tissue engineering, organoid development, and microfabrication technologies. Recent work emphasizes brain organoid modeling, 3D-printed biomaterials, and microfluidic platforms for neural and cancer research. His publications appear in high-impact journals including Nature Biotechnology, ACS Nano, and NanoScale, reflecting the interdisciplinary nature of his work at the intersection of engineering and biology. Dr. Huang has received numerous prestigious awards recognizing his research and teaching excellence: NSF CAREER Award (2022) NIH MIRA Award (2021) Multiple Faculty Research Excellence Awards from USU (2022-2023) Outstanding Graduate and Undergraduate Mentor Awards Young Investigator Award from Society for Biomaterials (2022) As an educator and mentor, Dr. Huang has guided numerous graduate and undergraduate students through research projects in his MicroBrain Lab. His teaching portfolio includes BioMEMS, Engineering Properties of Biological Materials, and Graduate Seminar courses. His lab actively recruits students interested in neural engineering, cancer research, and biomaterials development, providing hands-on research experience in state-of-the-art facilities. The MicroBrain Laboratory maintains active collaborations across disciplines, focusing on engineering micro-environments for neural tissue development, cancer migration studies, and therapeutic applications of engineered tissues. Current projects include organoid engineering, anti-inflammatory compound studies, and development of novel biomaterials for neural applications.

• Neuromorphic Computing
• Transceiver Engineering
• Brain-Computer Interfaces
• +۳ مورد دیگر

Yao-Hong Liu is a researcher at the Department of Electrical Engineering, Eindhoven University of Technology. His work spans interdisciplinary domains including neuromorphic computing, biomedical engineering, and integrated circuits design. Affiliation: Eindhoven University of Technology Department: Electrical Engineering Research Focus: Liu contributes to neuromorphic computing benchmarks, brain-computer interface technologies, and energy-efficient analog circuits. His work intersects with UN Sustainable Development Goals in health technologies and energy conservation. Recent Trends: 2024 publications highlight advancements in neural telemetry systems with loss-less data reduction (>11×), spatially diverse transdural communication architectures, and benchmarking frameworks for neuromorphic algorithms. Earlier work (2023) explores material science applications in Mg-Zn-Er alloys. Collaborations: Active in international networks with co-authors from academic institutions and research labs across Europe and Asia.

Wei Wenمشاهده پروفایل

دانشیار

• Neurosciences
• Brain Ageing
• NeuroImaging / Neuro-radiology
• +۵ مورد دیگر

Associate Professor Wei Wen is a biomedical engineer and neuroscientist at UNSW Sydney, leading the NeuroImaging Lab (NiL) at the Centre for Healthy Brain Ageing (CHeBA). He bridges engineering and neuroscience to study brain aging and dementia, with a PhD in Engineering from the University of Sydney. His research focuses on computational neuroanatomy, multi-modal MRI techniques, and integrating imaging with clinical/genetic data. Dr. Wen oversees the Neuroimaging Group, collaborating on national platforms like Dementias Platform Australia. Key projects include ENIGMA Consortium studies on brain structure genetics (published in Nature/Science), development of AI tools for lesion detection, and longitudinal studies in the Sydney Memory and Ageing cohort. He holds grants as Chief Investigator for ARC Discovery and NHMRC projects, focusing on cerebrovascular disease biomarkers and imaging algorithms. His lab’s work spans 200+ peer-reviewed articles, emphasizing early dementia diagnosis through neuroimaging. Research Themes: Connectome analysis, longitudinal brain atrophy, predictive modeling using multi-omics data, genetic influences on brain structures via twin studies, and algorithmic lesion detection. Grants: 1 ARC Discovery Project and 3 NHMRC grants. Collaborations include international teams on brain imaging-genetics and clinical applications. Labs/Teams: NeuroImaging Lab (NiL) at CHeBA, ENIGMA Consortium contributor, and Sydney Memory and Ageing Study lead.

John Gabrieliمشاهده پروفایل

استاد

• Neuroscience
• Educational Neuroscience
• Developmental Psychology
• +۸ مورد دیگر

John Gabrieli is a Grover Hermann Professor of Health Sciences and Technology and Professor of Brain and Cognitive Sciences at MIT. He leads the Gabrieli Lab, focusing on understanding how the human brain supports learning, cognition, and emotion through neuroimaging and behavioral studies. His roles include Director of the Athinoula A. Martinos Imaging Center and the MIT Integrated Learning Initiative (MITili), and Core Faculty at the Institute for Medical Engineering and Science. His work spans developmental neuroscience, personalized medicine, and neurodiversity, with a focus on translating findings into educational and clinical practices. Directorships: Martinos Imaging Center, MITili Core Faculty: IMES Research Interests: Neural basis of learning in children , including reading difficulties and early interventions; personalized medicine via neuroimaging for depression and anxiety; autism and neurodiversity; mindfulness and its cognitive benefits. His lab explores brain networks for language, emotion regulation, and social cognition. Recent work highlights socioeconomic disparities in learning, speech timing in autism, and machine learning for therapy prediction. He collaborates across disciplines to advance neuroscience applications in education and mental health. Awards: While no specific awards are listed, his contributions have earned recognition through MIT and academic leadership roles. Grants & Advising: Extensive NIH-funded projects on developmental disorders and neuroimaging techniques. Advises on educational policies and tech interventions for at-risk learners. Labs/Teams: Gabrieli Lab, MITili, and collaborations with Harvard and Boston-area institutions. Research emphasizes translational science bridging basic neuroscience and real-world applications.

• Developmental Coordination Disorder
• Neuroscience
• Pediatrics
• +۵ مورد دیگر

Jess Reynolds is an Adjunct Research Fellow at The University of Western Australia Medical School in the Department of Paediatrics, with expertise in developmental neuroscience and pediatric disorders. Her research focuses on understanding developmental coordination disorder and brain development in children through advanced neuroimaging techniques. Dr. Reynolds specializes in developmental coordination disorder research, with particular emphasis on white matter microstructure, functional magnetic resonance imaging, and developmental trajectories in young children. Her work examines how environmental factors, maternal health conditions, and genetic predispositions influence brain development and motor coordination in pediatric populations. She employs sophisticated neuroimaging techniques to investigate fractional anisotropy and mirror neuron systems in children with developmental disorders. Analysis of Dr. Reynolds' recent publications reveals a strong focus on developmental coordination disorder across multiple contexts. Her research consistently examines brain structure and function in pediatric populations, with particular attention to white matter microstructure using advanced MRI techniques. She has conducted significant work on environmental impacts on child brain development, sex differences in neurological outcomes, and the psychosocial impacts of developmental disorders on children and families. Her research bridges clinical pediatrics, neuroscience, and developmental psychology to address critical questions in child development. Dr. Reynolds has served as Investigator 04 on the Waterloo Foundation-funded project "Effect of an exercise intervention on physical activity levels, quality of sleep and mental health outcomes in children and youth with developmental coordination disorder" (October 2020 - December 2023). This collaborative research involved multiple institutions and focused on developing interventions to improve outcomes for children with developmental coordination disorder. She has established productive research collaborations with investigators including Licari, Whitehouse, Reid, Evans, and Alvares across multiple studies examining developmental disorders from neurological, psychological, and social perspectives.

Kunio Nakamuraمشاهده پروفایل

پژوهشگر

• Multiple Sclerosis
• Medical Imaging
• MRI Analysis
• +۵ مورد دیگر

Kunio Nakamura, PhD , serves as a Research Scientist and Principal Investigator at the Cleveland Clinic's Lerner Research Institute within the Department of Biomedical Engineering. His work focuses on developing advanced imaging techniques to better understand and monitor Multiple Sclerosis (MS) progression through innovative MRI analysis approaches. Nakamura leads the Kunio Nakamura Laboratory, where his team develops specialized software for automatic measurement of brain MRIs and investigates new imaging methodologies specifically tailored for MS patients. Dr. Nakamura's primary research interests center on overcoming limitations in standard MRI techniques for MS assessment. His laboratory focuses on developing methods to quantify different MS pathological processes, measure subtle changes over time, and assess damage in both gray and white matter. This work addresses critical challenges in MS imaging, where traditional methods cannot distinguish between various tissue damage types and fail to detect certain pathological processes entirely. His research has significant implications for improving patient monitoring, treatment decisions, and evaluation of new drug therapies. Analysis of Dr. Nakamura's recent publications reveals a strong focus on quantitative MRI techniques for MS, with particular emphasis on cortical lesion detection, brain atrophy measurement, and advanced imaging biomarkers. His work spans multiple subfields including deep learning applications for lesion segmentation, high-field MRI techniques, longitudinal change analysis, and comparative studies between MS and related autoimmune disorders. A notable trend in his research is the development of more sensitive imaging markers that can detect subtle pathological changes before they become clinically apparent. Dr. Nakamura actively collaborates with leading MS researchers and clinicians across multiple institutions, contributing to major clinical trials and multi-center studies. His laboratory participates in training programs at the Lerner Research Institute, offering hands-on experience with cutting-edge biomedical research techniques. The laboratory's work has direct translational applications, with the goal of developing imaging tools that can be implemented in clinical practice to improve MS patient care.