جست‌وجوی استاد و پژوهشگر

Steven H. Baeteمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Diffusion MRI
• Fiber Tractography
• +۴ مورد دیگر

Steven H. Baete is an Associate Professor in the Department of Radiology at NYU Grossman School of Medicine. His research focuses on biomedical imaging, particularly Diffusion MRI, Fiber Tractography, and MRI sequence development. Graduate Education: PhD from Ghent University Postdoctoral Training: Biomedical Imaging at NYU School of Medicine Dr. Baete specializes in diffusion MRI microstructure quantification and neuro-surgical planning. His work addresses technical challenges in neuroimaging reproducibility, brain connectivity analysis, and translational applications in oncology and neurology. Recent research includes developing open-access MRI datasets for machine learning (e.g., FastMRI Prostate) and advancing ODF-fingerprinting techniques for fiber crossing reconstruction. His publications span journals like Human Brain Mapping , JAMA , and Magnetic Resonance in Medicine , covering topics from diffusion kurtosis imaging to clinical outcomes in transplantation. Current clinical studies under his involvement explore microstructure MRI, TSPO-ligand PET imaging in epilepsy, and exercise interventions for diabetic neuropathy.

• Neuroradiology
• Stroke Research
• Brain Tumors
• +۵ مورد دیگر

Honorary Senior Clinical Lecturer at the University of Aberdeen's School of Medicine, Medical Sciences and Nutrition with clinical practice in the Radiology Department at Aberdeen Royal Infirmary. Specializes in neuroradiology with expertise in stroke imaging, brain tumor diagnostics, and advanced MRI techniques including Fast Field Cycling MRI. Active researcher leading multiple clinical trials and maintaining strong ties between NHS Radiology and academic research. Educational background includes: BSc (Hons) in Medical Science MBChB medical degree Fellowship of the Royal College of Radiologists (FRCR) Fellowship of the Royal College of Physicians (FRCP) Research focuses on translational neuroimaging with particular emphasis on stroke pathophysiology, brain tumor characterization, and dementia biomarkers. Pioneering work in Fast Field Cycling MRI for brain lesion analysis and hippocampal atrophy measurement in aging populations. Research methodology spans advanced statistical analysis using R software, specialized imaging protocols in PACS systems, and multi-center clinical trial coordination. Current projects investigate biomarkers for traumatic brain injury and refine diagnostic pathways for cerebrovascular emergencies. Publications reveal strong concentration in cerebrovascular disorders (40%), neurodegenerative imaging (25%), and skull base pathology (15%), with growing interest in emergency department neurodiagnostics. Methodological expertise prominently features quantitative imaging analysis and biomarker validation. Professional recognition includes: Fellow of the Royal College of Radiologists Fellow of the Royal College of Physicians Teaching responsibilities encompass MBChB Year 2 neurovascular anatomy lectures, cerebral aneurysm instruction, stroke syndrome education, and serving as a neurosurgical tutor for Aberdeen's FRCS(Neurosurgery) viva course. Active supervision of medical students and radiology registrars on research projects including systematic reviews of meningioma recurrence and glioblastoma presentations. Principal Investigator for Fast Field Cycling MRI studies and named radiologist for major trials (DASH, DexEnceph, TWIST, TRIMETHS). Maintains active research collaboration through the Aberdeen White Matter Dissection Course and integrates clinical practice with academic innovation through NHS-university partnerships. Current work focuses on validating novel biomarkers for emergency neurodiagnostics and refining imaging protocols for early dementia detection.

Karen Barlowمشاهده پروفایل

استاد

• Paediatric Neurology
• Traumatic Brain Injury
• Concussion
• +۶ مورد دیگر

Professor Karen Barlow is a Conjoint Chair in Paediatric Rehabilitation and Affiliate Associate Professor at the School of Biomedical Sciences , University of Queensland , leading the KidStim Lab . She is an academic paediatric neurologist and clinical researcher specializing in acquired brain injury in children and adolescents, with expertise in traumatic brain injury , concussion , and non-invasive brain stimulation therapies. Studied at University of Edinburgh (Bachelor of Medicine) and University of Queensland (PhD in Neurosciences) Her research focuses on neurobiological signatures of mild TBI and post-concussion syndrome , integrating multimodal neurological assessments such as ASL-fMRI and transcranial magnetic stimulation . She has pioneered non-invasive neuromodulation facilities like the KidStim Lab, exploring therapies including rTMS , tDCS , and melatonin for sleep disturbances post-injury. Recent publications highlight advances in metabolomics for severe TBI , brain connectivity in attention deficits , and international consensus guidelines for pediatric concussion . Her work emphasizes clinical trials for novel therapies and health service evaluation in Queensland . Professor Barlow supervises PhD students and leads multidisciplinary teams across Alberta Children's Hospital , Child Health Research Centre , and Queensland Cerebral Palsy Rehabilitation Centres . She has secured significant grants from National Injury Insurance Agency , Murdoch Children's Research Institute , and Motor Accident Insurance Commission .

• Computer Vision
• Generative AI
• Multimodal Learning
• +۴ مورد دیگر

Vicky Kalogeiton is a Professor in AI at École Polytechnique's Computer Science Laboratory (LIX) and heads the VISTA team. She is a core member of ELLIS Paris, contributing to multimodal generative AI with focus on efficiency, structured outputs, and medical applications. Her work appears in top venues like CVPR, ICCV, ECCV, and IJCV, emphasizing open science and slow research principles. PhD from University of Edinburgh/INRIA Grenoble with Vittorio Ferrari and Cordelia Schmid Research Fellow at VGG, University of Oxford Organizer of CVPR 2025 and Hi!Paris Summer School Her research spans generative AI (diffusion models, flow matching), medical imaging (renal transplant analysis, brain disorders), and cinematic AI (camera control, humor detection). Key projects include E.T. dataset for camera trajectories, FunnyNet-W for multimodal humor analysis, and SCAM for semantic image generation. Recent work demonstrates state-of-the-art performance in visual geolocation (CVPR 2024), optical video generation (AKiRa), and character-aware camera motion (E.T. dataset). She has secured grants from ANR, Hi!Paris, and Microsoft. Program Chair, CVPR 2027 Diversity Chair & Area Chair, ICCV 2025 Best Paper Awards (ICCV-W 2021, ACCV 2022 Honorable Mention) Outstanding Reviewer Awards (ICCV 2021, ECCV 2020) She supervises PhD candidates in generative modeling , medical AI , and reinforcement learning . Collaborations span institutions including Inria, MBZUAI, and MPI.

• Computer Vision
• Optical Flow
• Inverse Problems
• +۷ مورد دیگر

Dr. Denis Fortun is a CNRS researcher at ICube Laboratory , affiliated with the IMAGeS team . He previously held postdoctoral positions at EPFL (Biomedical Imaging Group, 2014–2017) and visiting PhD roles at Institut Curie and University of Saarbrücken . Education: PhD in Signal and Image Processing (2014), Inria Rennes Master of Science (2010), University of Strasbourg Master of Engineering (2010), Telecom Physique Strasbourg His research focuses on inverse problems in image reconstruction , with applications to fluorescence microscopy, optical flow estimation, and MRI . He has pioneered methods for 3D isotropic resolution and motion/diffusion estimation in biomedical imaging. Recent publications emphasize single particle reconstruction , multifocal excitation , and segmentation-free motion estimation , reflecting a trend toward computational imaging and super-resolution techniques. Scientific Awards: Finalist for Best Student Paper Award, IEEE International Symposium on Biomedical Imaging (ISBI), 2013 Best Paper Award, Colloque Reconnaissance de Forme et Intelligence Artificielle (RFIA), 2016 He has contributed to open-source software development (e.g., DeconvolutionLab2 ) and delivered invited talks at conferences like Applied Inverse Problems and ZEISS Symposium on Optics .

• Equine Sciences
• Human Movement Science
• Biomechanics
• +۵ مورد دیگر

Dr. JJM (Joep) Suskens is a Researcher at Utrecht University's Faculty of Veterinary Medicine, Department of Clinical Sciences, specializing in Equine Sciences. His work bridges veterinary medicine and human sports science, with significant contributions to understanding muscle physiology and biomechanics in both horses and humans. He is simultaneously pursuing his PhD at Amsterdam UMC in the Department of Orthopedic Surgery and Sports Medicine, creating a unique interdisciplinary research profile. His primary research expertise encompasses: Equine biomechanics and locomotion Human movement science and sports medicine Surface electromyography (sEMG) applications Magnetic Resonance Imaging techniques Applied data science in life sciences Hamstring muscle function and injury prevention Dr. Suskens' publication record demonstrates a dual research focus: investigating muscle function in human athletes (particularly regarding the Nordic Hamstring Exercise and injury prevention) and studying equine movement patterns. This cross-species approach applies similar biomechanical principles to both veterinary and human contexts, yielding insights valuable for both fields. His methodology combines advanced techniques including multichannel electromyography, diffusion tensor MRI, and computational data analysis using Matlab and SPSS. His research has practical implications for equine healthcare, human sports medicine, injury prevention, rehabilitation approaches, and performance optimization. With 8 documented research outputs between 2022-2023 (including 5 articles, 2 conference abstracts, and 1 editorial), he demonstrates active scholarly productivity in reputable journals such as the Scandinavian Journal of Medicine & Science in Sports and Journal of Applied Biomechanics.

• Obstetrics and Gynecology
• Endometriosis
• Pelvic Pain
• +۷ مورد دیگر

Maria Grazia Porpora is an Associate Professor of Obstetrics and Gynecology at the University of Rome "La Sapienza" , Department of Maternal-Infantile and Urological Sciences. She is a leading expert in endometriosis, chronic pelvic pain, infertility, and minimally invasive gynecological surgery. Since 2017, she has held the rank of Associate Professor and serves as the President of the Midwifery Degree Course and coordinator of several integrated courses in obstetrics, gynecology, and reproductive sciences. Education: 1983 – MD, University of Rome "La Sapienza" (summa cum laude) 1987 – Specialization in Obstetrics and Gynecology (summa cum laude) 1992 – Specialization in Oncology (summa cum laude) 1977 – Classical High School Diploma Research Interests: Her research spans over 30 years and focuses on the pathophysiology and treatment of endometriosis , chronic pelvic pain , infertility , and minimally invasive gynecological surgery . She has led numerous national and international projects, including studies on environmental pollutants and reproductive health, biomarkers in gynecologic disease, and innovative imaging techniques like MRI for endometriosis staging. Her work integrates clinical, molecular, and psychosocial dimensions of women’s health. Scientific Awards: Best Communication Award – FISS Congress (2015) Second Prize Carlo Romanini Award – AAGL (2007) Roul Palmer Award – European Congress of Gynaecological Endoscopy (1996) Ministry of Health Scholarship – Precancerous Cervical Lesions (1985) Leadership & Service: She is deeply involved in academic governance, serving as President of the Midwifery Degree Course since 2020, and previously as Vice-President and Coordinator. She coordinates multiple master's programs and is a reviewer for international journals and funding agencies. She also leads the Endometriosis Treatment Italian Club (ETIC) and has contributed to national guidelines on endometriosis management. Labs & Teams: She directs the Endometriosis and Pelvic Pain Clinic at Policlinico Umberto I, managing over 7,000 patients annually. She collaborates with interdisciplinary teams including radiologists, psychologists, and environmental health experts. Since 2023, she coordinates gynecology services at Palazzo Baleani, a center for women’s health and wellness.

John Thompsonمشاهده پروفایل

دانشیار

• Neuroscience
• Neuromodulation
• Movement Disorders
• +۵ مورد دیگر

Dr. John Thompson is an Associate Professor in the Department of Neurosurgery at the University of Colorado Anschutz Medical Campus School of Medicine . He earned his PhD in 2008 and BS in 2003, both from Florida State University. Fluent in English, he specializes in deep brain stimulation (DBS) for movement disorders, particularly Parkinson's disease, with expertise in neurophysiological signal analysis and sleep disorders. Education PhD, Florida State University (2008) BS, Florida State University (2003) Research Interests DBS programming optimization Basal ganglia neurophysiology Sleep architecture in neurodegenerative diseases Neurotechnology development Epilepsy surgical outcomes Neuromodulation ethics Scientific Contributions 83+ peer-reviewed publications (2013-2024) 2024 studies on sleep spindles in Parkinson's DBS 2023 work on pediatric dystonia programming 2022 technical innovations in DBS targeting 2017 award-winning Boettcher Investigator research Professional Affiliations Society for Neuroscience American Society for Stereotactic and Functional Neurosurgery University of Colorado Movement Disorders Center Neurotechnology Center Practice Locations University of Colorado Hospital

Carlo Alberto Barbanoمشاهده پروفایل

پژوهشگر

• Deep Learning
• Medical Imaging
• Neuroimaging
• +۵ مورد دیگر

Carlo Alberto Barbano is a Postdoctoral Researcher in Deep Learning for Medical Imaging at the University of Turin , Department of Computer Science. He is a member of the EIDOS group and the Asl To3 Radiomics Lab, with a visiting position at Inria MIND since Jan. 2025. His work bridges AI with clinical applications, focusing on neuroimaging, debiasing algorithms, and multimodal learning. Education: Double Ph.D. in Computer Science (Télécom Paris & University of Turin, 2023) Master’s in Artificial Intelligence (University of Turin, 2020) Research Interests revolve around developing robust and unbiased deep learning models for medical imaging tasks. Key areas include: Contrastive learning for neuroimaging and brain age prediction Multimodal learning with cross-modal interaction Debiasing techniques in supervised and unsupervised settings Robustness in clinical AI applications Stain normalization for histology slides Integration of prior knowledge in machine learning frameworks Scientific Awards include: Best Poster Award, ISBI, 2023 Member of ELLIS Society, 2024 Ongoing Research focuses on anatomical foundation models for brain MRIs, knowledge transfer across modalities, and fairness in medical imaging AI. His work at Asl To3 Radiomics Lab involves practical clinical implementation of deep learning tools.

• Neuro-Oncology
• Gliomas
• Stem Cell-Based Models
• +۳ مورد دیگر

Maya Graham, MD, PhD, is an Assistant Professor at the UCSF School of Medicine and a practicing neuro-oncologist at the Brain Tumor Center. She specializes in glioma research and patient care. MD and PhD in Neuroscience from Northwestern University Neurology residency at Mass General Brigham Neuro-Oncology fellowship at Memorial Sloan Kettering Her research focuses on stem cell-based glioma models and epigenetic mechanisms in tumor progression. Current work is funded by NIH-NINDS K08 award. Recent publications highlight trends in: Immuno-PET imaging for tumor characterization Metabolic connectivity analysis in brain tumors ALK/epigenetic therapeutic targets Sex-specific metabolic vulnerabilities Scientific recognition includes: 2025 Weill Award for Clinician-Scientists 2024 Jerome B. Posner Teaching Award Multiple early career leadership fellowships Dr. Graham co-hosts Neuro-Oncology: The Podcast and serves on AAN leadership committees.

Jonathan Wirsichمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Multimodal Neuroimaging
• Brain Connectivity
• +۳ مورد دیگر

Jonathan Wirsich is a Researcher and MRI Operational Manager at the Center for Biomedical Imaging (CIBM) of the University of Geneva, serving within the Cognitive and Affective Neuroimaging Section since his March 2023 appointment by CISA. His academic foundation includes a Master of Science in Computer Science from the Karlsruhe Institute of Technology (2013) and a Ph.D. in Neuroscience from Aix-Marseille University (2016), completed at the Centre de Résonance Magnétique Biologique et Médicale (CRMBM) under Professor Maxime Guye. He subsequently conducted postdoctoral research from 2016-2018 at the CONNECTlab within the Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, working with Professor Sepideh Sadaghiani, followed by a research scientist position in the Epilepsy and Brain Networks group at Geneva University Hospitals under Professor Serge Vulliémoz starting in 2019. Dr. Wirsich specializes in multimodal neuroimaging data fusion, particularly simultaneous EEG-fMRI and diffusion MRI, to investigate dynamic and static properties of whole-brain networks. His work bridges cognitive neuroscience, computational methodology, and open science practices, with core emphases on functional/structural connectivity analysis and translational applications. He actively supports the scientific community through end-to-end guidance from experimental design to data analysis. Based at the University of Geneva's Brain Behaviour Laboratory, he contributes to CIBM's mission through operational management of 3T MRI facilities and collaborative research in neuroimaging innovation.

Tan Toi Phanمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Magnetic Resonance Imaging
• Neuroimaging
• +۳ مورد دیگر

Tan Toi Phan is a Research Fellow at the Center for Biomedical Imaging (CIBM) of the Swiss Federal Institute of Technology in Lausanne (EPFL), working within the Metabolic Imaging Section since December 2024. His academic background includes: Bachelor of Engineering in Engineering Physics – Biomedical Engineering from Ho Chi Minh City University of Technology, Vietnam National University (2015) M.Sc. in Advanced Materials Science and Engineering from Sungkyunkwan University, South Korea (2018) Ph.D. in Biomedical Engineering from Sungkyunkwan University, South Korea (2023) Dr. Phan's research specializes in developing advanced magnetic resonance imaging techniques. His doctoral work under Dr. Jang-Yeon Park pioneered functional MRI methods for neuronal activity detection in mouse brains. At CIBM, he collaborates with Cristina Cudalbu to advance diffusion magnetic resonance spectroscopic imaging (dMRSI), quantifying brain microstructure through metabolite mobility analysis. His expertise spans Biomedical Engineering, Neuroimaging, and specialized MRI subfields. Professional recognitions and student mentorship are not documented in available sources. He may be contacted via tantoi.phan@epfl.ch or +41 (0)21 693 67 53 at EPFL AVP CP CIBM, Station 6, CH F0 628, CH-1015 Lausanne.

Martin Zachمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Imaging
• Inverse Problems
• MRI Reconstruction
• +۲ مورد دیگر

Martin Zach is a postdoctoral researcher at the Center for Biomedical Imaging (CIBM), EPFL , specializing in inverse problems in biomedical imaging. He joined the Mathematical Imaging Section under the supervision of Prof. Michael Unser in September 2024. PhD : Graz University of Technology (2024), advised by Thomas Pock Martin’s research bridges model-based reconstructions and data-driven approaches in imaging, with a focus on MRI reconstruction and diffusion models . His work explores regularization techniques, energy-based priors, and probabilistic modeling. Recent publications highlight advancements in Gaussian mixture models , non-linear inversion , and Langevin sampling for biomedical imaging. His Google Scholar profile reveals a strong focus on inverse problems (2020–2025), with applications in MRI , CT , and quantitative phase imaging . Key methodologies include diffusion models , generative priors , and regularization algorithms , spanning disciplines from machine learning to computational biology . Martin’s current role at EPFL involves collaborative research in mathematical imaging , with affiliations to the BioMedical Imaging (BIG) Group in Lausanne, Switzerland.

Tyrone Cannonمشاهده پروفایل

استاد

• Schizophrenia
• Bipolar Disorder
• Psychosis
• +۶ مورد دیگر

Tyrone Cannon is the Clark L. Hull Professor of Psychology and Professor of Psychiatry at Yale University. He earned his Ph.D. from the University of Southern California in 1990 and has established himself as a leading researcher in psychosis and severe mental illness. His work spans over three decades with publications dating from 1988 to the present. Dr. Cannon directs the Clinical Neuroscience Laboratory at Yale, where his team investigates the interplay between psychological phenomena and neurobiological mechanisms in mental illness, particularly schizophrenia and bipolar disorder. His research focuses on understanding the mechanisms underlying psychosis emergence during adolescence and developing effective intervention and prevention strategies. The laboratory employs structural, functional, metabolic, and neurochemical brain imaging, neurocognitive assessment, and quantitative and molecular genetics in twin studies, longitudinal developmental studies, birth cohort studies, and randomized controlled trials. Dr. Cannon's recent work (2023-2025) demonstrates remarkable breadth and depth, with over 100 publications examining psychosis risk prediction, neuroanatomical correlates, suicidality in at-risk populations, social determinants of psychosis, and biomarker development. His research shows consistent focus on identifying individuals at highest risk and understanding the mechanisms driving progression to psychosis. Clark L. Hull Professor of Psychology, Yale University Professor of Psychiatry, Yale University Director, Clinical Neuroscience Laboratory Ph.D. from University of Southern California (1990) Dr. Cannon has mentored numerous students, including Yoonho Chung who received the 2018 APA Dissertation Research Award. His work has been instrumental in developing the NAPLS-2 risk calculator for predicting psychosis conversion and identifying critical neurobiological markers of psychosis risk. His research has significant implications for early intervention strategies that could alter the course of illness before full psychosis develops.

• Neuromodulation
• Age-related Cognitive Decline
• Neurodegenerative Diseases
• +۳ مورد دیگر

Martin Dahl is a Research Scientist at the Max Planck Institute for Human Development, Center for Lifespan Psychology, and leads the Lifespan Neuromodulation of Cognition (LINE) group since October 2022. He holds faculty positions at IMPRS COMP2PSYCH and focuses on multi-modal brain imaging techniques to investigate age-related cognitive changes. B.Sc. in Psychology (2011), Justus Liebig University Gießen M.Sc. in Psychology (2014), University of Konstanz PhD in Psychology (Dr. rer. nat., 2020), Freie Universität Berlin His research centers on neuromodulatory systems, particularly dopaminergic and noradrenergic pathways, examining their role in age-related cognitive decline, Alzheimer's disease, and neural synchronization mechanisms. Current projects include non-invasive brain imaging protocols and biomarker development for neurodegenerative disorders. Recent publications analyze locus coeruleus integrity, neurotransmitter interactions, and dietary influences on cognitive health. His work spans neuroimaging methodology, clinical applications, and theoretical frameworks for aging research. Scientific Awards Margret and Paul Baltes Award (Developmental Psychology Section, DGPs) Otto Hahn Medal (Max Planck Society) Young Investigator Award for "Advancement of Clinical and Cognitive Neuropsychology" (GNP e.V.)