جست‌وجوی استاد و پژوهشگر

Kerstin Nagelمشاهده پروفایل

پژوهشگر

• Plant Phenotyping
• Root Phenotyping
• Plant Biology
• +۵ مورد دیگر

Kerstin Nagel leads the Jülich Plant Phenotyping Center at Forschungszentrum Jülich GmbH, focusing on advanced plant phenotyping technologies. Her work bridges molecular and ecological approaches to address sustainable agriculture and bioeconomy goals, particularly through root system analysis. Key Expertise: Plant Phenotyping, Root Biology, Bioeconomy, Non-Invasive Imaging Institution: Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences (IBG), Plant Sciences (IBG-2) Her research emphasizes the development and validation of high-throughput phenotyping methodologies to study root and shoot adaptation to climate stressors such as drought, nitrogen deficiency, and salinity. She employs technologies like rhizotrons, magnetic resonance imaging (MRI), and computational modeling to analyze root architectural traits and their implications for crop productivity. Recent publications highlight her contributions to understanding root system plasticity under water and nutrient stress, standardizing root phenotyping terminology, and integrating plant-microbe interactions into abiotic resistance studies. Her work also explores the role of root angles in gravitropism and the impact of soil precrop treatments on drought tolerance. The articles demonstrate a focus on Plant Science , Root Dynamics , and Climate Resilience , with subfields including root-shoot interactions, non-invasive imaging, and genetic mapping of stress-adaptive traits.

Marie Sydoffمشاهده پروفایل

پژوهشگر

• Medical Radiation Physics
• Nuclear Medicine
• Dosimetry
• +۵ مورد دیگر

Marie Sydoff is an Associate Researcher in Medical Radiation Physics at Lund University's Faculty of Medicine and the Lund University Bioimaging Center. Her work spans medical radiation physics, nuclear medicine, and advanced imaging techniques with applications in cancer therapy, neurodegenerative diseases, and pulmonary conditions. Her research interests focus on medical radiation physics , nuclear medicine imaging , and radiopharmaceutical development . She specializes in PET/CT and MRI methodologies, with particular expertise in dosimetry, partial volume effects, and tracer development for various clinical applications including cancer therapy monitoring and assessment of tissue damage. Dr. Sydoff's publication record shows consistent contributions to medical imaging research with recent work spanning from optimizing peptide nucleic acid-based pretargeting for radionuclide therapy to proteomic analysis in Alzheimer's disease. Her research demonstrates strong interdisciplinary collaboration across nuclear medicine, oncology, neuroscience, and pulmonary medicine. She actively participates in research projects including HALRIC (Investigating lung tissue strain in lung injury and ventilator-induced stress) and has contributed to multiple collaborative efforts in medical imaging. Her work has been presented at various conferences and webinars related to breast imaging and nuclear medicine. Dr. Sydoff serves as a researcher on active projects and has participated in professional organizations including the Nordic Society for Radiation Protection from 2015 to 2023. Her collaborative network extends across multiple institutions with significant research output in high-impact journals.

Klaus Schäfersمشاهده پروفایل

استاد

• Medical Physics
• Molecular Imaging
• Positron Emission Tomography (PET)
• +۵ مورد دیگر

Klaus Schäfers is a Professor at the University of Münster , leading the Schäfers Group: Technology & Medical Physics at the European Institute for Molecular Imaging (EIMI) . His research focuses on advancing medical imaging techniques, particularly PET and MRI , with an emphasis on motion correction, image reconstruction, and hybrid imaging systems. Research Focus : Motion correction in PET/MRI, dispersion modeling, development of dynamic phantoms, and application of computer vision to biomedical imaging. Notable Contributions : Pioneering motion correction methods using Microsoft Kinect and radar sensors, creating extracorporeal circulation systems for arterial input function measurements, and developing high-resolution PET detectors. Scientific Awards : Holds a US Patent US-20140357980 for motion correction techniques in emission tomography. Publications (2014–2025) highlight innovations in PET and MRI integration, motion compensation algorithms, and phantom design for preclinical studies. His work bridges medical physics , computer vision , and biomedical engineering , aiming to enhance diagnostic accuracy through technical refinements.

• Translational Research
• Surgical Outcomes
• Peripheral Nerve Regeneration
• +۴ مورد دیگر

Jill Shea, PhD is a Research Assistant Professor in the Department of Surgery at the University of Utah School of Medicine and an investigator at the Huntsman Cancer Institute. Her research focuses on improving surgical outcomes through translational research, spanning three core areas: surgical intervention, imaging, and drug treatment. Key projects include developing nerve guide conduits for traumatic injuries, advanced imaging techniques for pancreatic cancer, and animal models for therapeutic development in surgical oncology. Primary Affiliation: Department of Surgery, University of Utah School of Medicine Research Areas: Translational research, peripheral nerve regeneration, cancer imaging Education: PhD and postdoctoral training at University of Utah, BS at University of Oregon Patent: Methods and devices for connecting nerves (U.S. Patent No. 10842494, 2018)

Erik M. Shapiroمشاهده پروفایل

استاد

• Neuroscience
• Molecular Imaging
• Biomedical Engineering
• +۵ مورد دیگر

Dr. Erik M. Shapiro is a Professor at Michigan State University, serving as faculty in both the Neuroscience Program and Genetics & Genome Sciences Program. He directs the Molecular and Cellular Imaging Laboratory (MCIL), where his research sits at the interface of neuroscience, chemistry, and biomedical engineering. His laboratory develops specific and sensitive molecular imaging approaches to study the brain in both naïve and diseased animals, with significant contributions to nanotechnology, stem cell biology, and medical imaging. Biomedical goals include early detection of neurodegenerative diseases, targeted detection and therapy of cancer, and imaging the manipulation of neurogenesis, primarily performed in rodent models with clinical translation as a key objective. Dr. Shapiro's research interests center on molecular and cellular imaging techniques with particular emphasis on neuroscience applications. His laboratory develops innovative imaging methodologies to investigate brain function in both healthy and disease states, bridging fundamental neuroscience with clinical applications. Current research areas include nanotechnology for biomedical imaging, stem cell tracking methodologies, and medical imaging techniques for early detection of neurodegenerative diseases and targeted cancer therapies. His work consistently demonstrates interdisciplinary approaches that integrate chemistry, engineering, and biology to solve complex biomedical problems, with a strong focus on translational research that moves discoveries from bench to bedside. Analysis of Dr. Shapiro's recent publications (2023-2025) reveals a strong research trajectory focused on advanced imaging technologies, particularly in MRI and CT applications. His work shows increasing emphasis on radiopaque biomaterials for nerve repair, nanoparticle-based contrast agents, and in vivo monitoring of device degradation. Key trends include the development of tantalum oxide nanoparticles as X-ray contrast agents, MRI-based cell tracking techniques using OATP transporters, and intraductal ablative procedures for breast cancer prevention. His publications consistently demonstrate innovation in imaging technology development with direct biomedical applications, particularly in neural repair and cancer research, reflecting his laboratory's mission to develop and apply molecular imaging approaches for significant clinical problems. Dr. Shapiro directs the Molecular and Cellular Imaging Laboratory (MCIL) at Michigan State University, where his team conducts cutting-edge interdisciplinary research. The laboratory's work spans multiple domains including nanotechnology development for biomedical imaging, stem cell tracking methodologies, and medical imaging techniques for early detection of neurodegenerative diseases. Current projects include developing radiopaque implantable biomaterials for nerve repair, incorporating tantalum oxide nanoparticles into polymeric biomedical devices, and investigating material degradation effects on regenerating Schwann cells. The MCIL emphasizes not only laboratory work but also comprehensive student training in conference presentations, grant and manuscript preparation, and professional interactions, preparing students to not only DO science but to BE scientists.

• Biomechanics
• Spinal Cord Injury
• Orthopaedic Biomechanics
• +۴ مورد دیگر

Associate Professor Claire Jones is affiliated with the University of Adelaide , where she holds a position in the Discipline of Biomedical Engineering under the School of Electrical and Mechanical Engineering . Her work bridges Mechanical Engineering and Clinical Biomechanics , focusing on spinal and neurotrauma research. Academic Role: Associate Professor, Postgraduate Coordinator Research Focus: Biomechanics of musculoskeletal and nervous systems, spinal injury mechanisms, orthopaedic implants Laboratory: Leads a shared facility with advanced biomechanical testing equipment (Instron machines, motion capture, medical imaging) Collaborations: Partners with institutions across Australia, Canada, Switzerland, and France Her research explores spinal injury prevention , neurotrauma , and the development of pre-clinical models for biomechanical studies. She specializes in medical imaging integration and biomechanical assessment for spinal injury diagnostics and treatment strategies. Recent publications emphasize spinal fluid dynamics, neck injury mechanisms, and animal models for traumatic brain/spinal cord injury. Key trends include impact biomechanics , spinal implant testing , and gender-specific physiological analysis . Dr. Jones supervises Masters and PhD students in Mechanical & Biomedical Engineering and Medical Sciences, with projects spanning spine simulation , orthopaedic device testing , and neurotrauma modeling .

Leila M. Allenمشاهده پروفایل

استاد آموزشی

• Neuroscience
• Cognitive Neuroscience
• Behavioral Neuroscience
• +۴ مورد دیگر

Leila M. Allen is an Associate Teaching Professor in the Department of Psychology at Florida International University's College of Arts, Sciences & Education, where she serves as Founding Director of the Bachelor’s in Science in Behavioral Neuroscience Degree Program. She leads research in the Neurocircuitry and Cognition Laboratory and directs the Porcine Neuroscience Facility developing translational models for Alzheimer's disease. Her research centers on the neurobiological basis of episodic memory, specifically investigating neural circuit interactions between the hippocampus and prefrontal cortex. Using optogenetics, chemogenetics, and cross-species modeling (including novel pig models), her lab examines circuit disruptions in Alzheimer's disease, schizophrenia, ADHD, and other neurological conditions. This work integrates MRI tractography to bridge rodent findings with human brain applications. Analysis of her publications reveals consistent focus on memory mechanisms through innovative methodological approaches, from developing the patented RatHat brain implant system to studying region-specific neural contributions (hippocampus, prefrontal cortex, perirhinal cortex) in memory processes affected by neurodegeneration and neurotoxins. Dr. Allen has received significant recognition for her academic contributions: Faculty Senate Excellence in Teaching Award Top Scholar for Teaching Scholarship (Fall 2022) As program director for the Behavioral Neuroscience degree, she oversees academic advising and curriculum development. Her research is supported through collaborations with FIU's Training in Environmental Neuroscience Program, Cognitive Neuroscience Program, Center for Children and Families, Center for Imaging Science, and Brain, Behavior and the Environment Program. The Neurocircuitry and Cognition Laboratory maintains active partnerships with the National Swine Resource and Research Center at the University of Missouri, advancing porcine neuroscience research while contributing to transgenic animal development for preclinical Alzheimer's disease studies.

Daniel Oppenheimerمشاهده پروفایل

دانشیار

• Diagnostic Radiology
• Abdominal Imaging
• Remote Radiology
• +۲ مورد دیگر

Daniel Oppenheimer, M.D. serves as Associate Professor in the Department of Imaging Sciences at the University of Rochester School of Medicine and Dentistry. He holds dual leadership roles as Division Head of Remote Radiology and member of the Abdominal Imaging Division. Affiliated with the University of Rochester Medical Faculty Group (URMFG) and Accountable Health Partners (AHP), he contributes to a network spanning 19 departments and over 2,000 medical faculty across regional healthcare systems. His academic foundation includes: MD from University of Vermont College of Medicine (2011) Internal Medicine Internship at Eye and Ear Hospital of Pittsburgh (2011-2012) Diagnostic Radiology Residency at University of Rochester Medical Center (2012-2016) Abdominal Imaging Fellowship at Mallinckrodt Institute of Radiology (2016-2017) Dr. Oppenheimer's research pioneers telediagnostic ultrasound for resource-limited settings, notably through Peru-based projects expanding imaging access in rural communities. His work bridges abdominal imaging with remote radiology innovation, covering thyroid diagnostics, hepatobiliary pathology, placental MRI, and venous disease characterization. As an active member of RSNA, ARRS, SAR, SRU, and ASER, he advances clinical protocols through national lectures on diagnostic radiology. His publication trajectory reveals two dominant trends: (1) Telemedicine solutions addressing radiology staffing crises and geographic healthcare disparities, and (2) Precision abdominal imaging techniques enhancing diagnostic accuracy for complex conditions. Recent work demonstrates how remote radiology systems improve workflow efficiency while maintaining diagnostic integrity across diverse clinical scenarios. Professional recognition includes: Certificate of Merit - Excellence in Conference Teaching (2022-2023) Volunteer Service Award (2022) Section Chair's Sub-specialty Award (2018) Magna Cum Laude Award (2018) Shu Ren Lin Faculty Teaching Award (2017-2018) Certificate of Merit (2014) Bernd Heinrich Award for Physiology Research (2007) Presidential Scholar (2004-2006) As a dedicated educator in the Diagnostic Radiology Residency Program, Dr. Oppenheimer integrates his remote radiology expertise into curriculum development while mentoring trainees in abdominal imaging subspecialization. His leadership in the Remote Radiology division has established evidence-based frameworks for tele-radiology implementation, directly influencing departmental staffing models and work-life balance initiatives. Current research collaborations focus on validating telediagnostic systems in global health contexts. He directs the Remote Radiology division while collaborating with multidisciplinary teams across abdominal imaging services. His Peru-based telediagnostic ultrasound projects exemplify commitment to healthcare equity, demonstrating scalable models for expanding imaging access in underserved regions through technology-enabled clinical pathways.

Wing-Chi E. Kwokمشاهده پروفایل

دانشیار

• MRI Safety
• High-Resolution Magnetic Resonance Imaging
• RF Coil Development
• +۴ مورد دیگر

Wing-Chi E. Kwok is an Associate Professor of Imaging Sciences at the University of Rochester since 1990. His work focuses on MR safety, RF coil development, and advanced MRI techniques for clinical and research applications. Ph.D. in Physics (1990), Rensselaer Polytechnic Institute M.S. in Physics (1988), Rensselaer Polytechnic Institute B.S. in Physics (1984), Hong Kong - Non-Medical School His research spans MRI technology innovation , including high-resolution imaging, water/fat separation, and diffusion-weighted MRI. He has pioneered RF coil designs and pulse sequences for clinical systems, with patents in chemical-shift correction and quantum coherence methods. Recent publications highlight applications in RF interference correction MRI-induced heating risk assessment Chronic compression injury modeling Multimodal spine imaging Scientific Recognition : Cum Laude Award (2020) Roadie Award (2019) Magna Cum Laude Merit Award (2012) Certificate of Merit Citation (1999) Student Fellowship (1985–1989) Full Tuition Scholarship (1982–1983) Kwok holds six U.S. patents and supervises MRI quality assurance across multiple hospitals. He serves on the URMC MRI Safety Committee and is certified as an MR Safety Expert (2016). His clinical responsibilities include protocol optimization and safety evaluation for implants/foreign objects.

Brian K. Tanمشاهده پروفایل

دانشیار بالینی

• Diagnostic Radiology
• Magnetic Resonance Imaging
• Ultrasound
• +۵ مورد دیگر

Brian K. Tan, M.D. serves as an Associate Professor of Clinical Imaging Sciences in the Department of Imaging Sciences at the University of Rochester School of Medicine and Dentistry. He has held a position as Assistant Professor of Radiology at Highland Hospital since 2003 and is affiliated with the University of Rochester Medical Faculty Group (URMFG) and Accountable Health Partners (AHP). Board certified in Diagnostic Radiology by the American Board of Radiology, Dr. Tan specializes in advanced imaging techniques and currently does not accept new patients. Dr. Tan's educational background includes: M.D. from Albany Medical College, Albany, New York (1997) Bachelor of Science, Magna Cum Laude, from Union College, Schenectady, New York (1993) with double majors in Biology (Departmental Honors) and History (Departmental Honors) through the B.S./M.D. Combined Accelerated Medical Education Program His primary research focuses on diagnostic medical imaging with expertise in magnetic resonance imaging (MRI) and ultrasound applications. Dr. Tan has developed specialized concentrations in musculoskeletal, neuro, and body imaging, with significant contributions to stroke awareness protocols and fetal imaging diagnostics. His work emphasizes practical clinical applications of imaging technologies across multiple medical specialties. Dr. Tan's publication history demonstrates consistent expertise in imaging science, highlighted by his major contribution to the 2002 textbook 'Differential Diagnosis in Magnetic Resonance Imaging.' His research spans critical areas including fetal ultrasound diagnostics, vascular medicine interventions, and behavioral health applications, reflecting a versatile approach to medical imaging that bridges radiological science with clinical practice across diverse medical domains. As an educator, Dr. Tan has supervised radiology, internal medicine, and family practice residents at Highland Hospital since 2003, while delivering specialized lectures to radiology residents at Strong Memorial Hospital. He actively participates in interdisciplinary initiatives including Internal Medicine Morning Report since 2009 and hospital-wide stroke awareness education programs, fostering cross-departmental collaboration in clinical diagnostics and patient care.

Jennifer A. Harveyمشاهده پروفایل

استاد

• Breast Imaging
• Diagnostic Radiology
• Mammography
• +۳ مورد دیگر

Jennifer A. Harvey, M.D. serves as Professor and holds the endowed Dr. Stanley M. Rogoff and Dr. Raymond Gramiak Professorship in Radiology within the Department of Imaging Sciences at the University of Rochester School of Medicine and Dentistry. Board-certified in Diagnostic Radiology by the American Board of Radiology, she is affiliated with the University of Rochester Medical Faculty Group (URMFG) and Accountable Health Partners (AHP), though currently not accepting new patients. Her educational foundation includes: MD from University of Arizona College of Medicine (1988) Internship at Banner-University Medical Center Phoenix (1988-1989) Residency in Diagnostic Radiology at University of Arizona College of Medicine (1989-1993) Dr. Harvey's research centers on breast imaging innovation , with particular focus on breast density implications , screening methodology optimization , and patient-centered outcomes . Her work critically examines health care inequities in imaging access, the clinical role of radiologists, and technological advancements like contrast-enhanced mammography and abbreviated MRI protocols. She actively addresses barriers to screening for women with dense breasts while advancing evidence-based practice guidelines. Over 2022-2024, her publication trajectory reveals increasing emphasis on health equity and patient experience alongside technical screening advancements. Her editorials challenge systemic biases while research articles quantify behavioral and clinical factors affecting screening adherence. This dual focus positions her at the intersection of technical radiology innovation and social determinants of care. Her editorial leadership has earned recognition through: 2022-2023 Editor's Recognition Award (Journal of Breast Imaging) 2021-2022 Editor's Recognition Award (Journal of Breast Imaging) While specific grant details aren't public, her multi-institutional collaborations—including Society of Breast Imaging surveys and NIH-funded trials like the ACRIN 6666 study—demonstrate significant research influence. Her clinical mentorship shapes next-generation radiologists through editorial guidance and protocol development leadership. Dr. Harvey operates within the University of Rochester's comprehensive imaging research ecosystem, contributing to the Department of Imaging Sciences' mission through both clinical service and scholarly leadership in breast imaging innovation.

• High Resolution Magnetic Resonance Imaging
• Quantitative Cardiovascular MRI
• Cardiac Magnetic Resonance Fingerprinting
• +۲ مورد دیگر

Daniel Herzka is an Associate Professor at the Department of Radiology , School of Medicine , Case Western Reserve University . His research focuses on high-resolution magnetic resonance imaging , quantitative cardiovascular MRI , and cardiac magnetic resonance fingerprinting . Herzka develops innovative MRI techniques for in vivo neurography and cardiovascular applications , including interventional MRI and low-field MRI systems . Doctor of Philosophy in Biomedical Engineering, Johns Hopkins University School of Medicine (2004) Master of Engineering in Biomedical Engineering, Johns Hopkins University (1999) Professional affiliations include membership in the International Society for Magnetic Resonance in Medicine (ISMRM), Society for Cardiovascular Magnetic Resonance Imaging (SCMR), Medical Image Computing and Computer Assisted Intervention Society , and American Heart Association (AHA). Herzka's research has produced significant publications in Magnetic Resonance in Medicine , Journal of Cardiovascular Magnetic Resonance , and Radiology , primarily focusing on cardiac imaging , low-field MRI , and interventional radiology . His recent work explores accelerated T2 mapping , low-rank reconstruction , and cardiac interventional devices . Herzka's scientific contributions span MRI physics , sequence optimization , and clinical translation of imaging technologies . Key collaborators include researchers from National Institutes of Health , Johns Hopkins University , and University Hospital Bonn . Developed real-time free-breathing cardiac imaging with self-calibrated radial GRAPPA Innovated sorted Golden-step phase encoding for self-gated cine MRI Created analytical polyhedral MRI phantoms for imaging validation

Hakmook Kangمشاهده پروفایل

دانشیار

• Biostatistics
• Spatio-temporal Modeling
• Multiple Testing Problems
• +۵ مورد دیگر

Hakmook Kang, PhD, is an Associate Professor of Biostatistics at Vanderbilt University Medical Center, where he holds multiple leadership positions including Director of the Data Science Core at the Vanderbilt Kennedy Center and Associate Director for Graduate Studies at the Data Science Institute. His academic appointments reflect significant contributions to quantitative methodologies in medical research. Education: Ph.D. in Biostatistics from Brown University M.S. in Statistics from the University of Rhode Island M.S. in Pharmaceutical Science from the University of Rhode Island B.S. in Chemical Engineering from the University of Minnesota Research Focus: Dr. Kang specializes in developing advanced statistical methods for complex biomedical data, particularly spatio-temporal modeling and multiple testing frameworks applied to neuroimaging. His interdisciplinary work bridges biostatistics, neuroscience, and machine learning, with applications spanning Parkinson's disease, epilepsy, dementia, diabetes, and cancer diagnostics. Current investigations focus on brain connectivity patterns, neuroimaging biomarkers, and radiomics for tumor classification. Publication Trends: Recent articles (2024-2025) demonstrate methodological innovation in neuroimaging analysis, particularly fMRI and PET data processing, with strong clinical applications in neurology and oncology. Recurring themes include Parkinson's pathophysiology, epilepsy networks, diabetes progression biomarkers, and machine learning applications in radiology. Institutional Roles: Director, Data Science Core (Vanderbilt Kennedy Center) Associate Director for Graduate Studies (Data Science Institute) Affiliated with Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Vanderbilt Technologies for Advanced Genomics (VANGARD)

Michael I. Migaمشاهده پروفایل

استاد

• Image-guided surgery and intervention
• Computational modeling for therapeutic applications
• Soft-tissue mechanics
• +۹ مورد دیگر

Dr. Michael I. Miga is the Chair of the Department of Biomedical Engineering, Harvie Branscomb Professor, and Professor of Biomedical Engineering, Radiology and Radiological Sciences, Neurological Surgery, Otolaryngology, and Computer Science at Vanderbilt University. He serves as Director of the Vanderbilt Institute for Surgery and Engineering (VISE) and leads the Biomedical Modeling Laboratory. Dr. Miga joined Vanderbilt University in Spring 2001 and has established himself as a leader in computational approaches to surgical medicine. Dr. Miga's educational background includes: Ph.D. in Biomedical Engineering from Dartmouth College M.S. in Mechanical Engineering from the University of Rhode Island B.S. in Mechanical Engineering from the University of Rhode Island Dr. Miga's research focuses on bridging the gap between diagnostic imaging advancements and procedural medicine through innovative computational approaches. His work centers on complex biophysical models, methods of automation and procedural field surveillance, data-driven procedures, therapy forecasting, and disease information integration associated with digital twins. He pioneers platform technologies designed for the dual purpose of treatment and discovery in surgical and interventional settings, with particular emphasis on medical robotics, computer vision, and AI applications. Dr. Miga's recent publications reveal a consistent focus on image-guided surgery across multiple organ systems including brain, liver, breast, and kidney. His work addresses critical challenges in soft tissue deformation, intraoperative imaging, and computational modeling to enhance surgical precision. A significant portion of his research involves developing and validating model-based approaches for deformation correction in image-guided procedures, demonstrating strong translational potential across various surgical specialties. Dr. Miga's significant professional recognitions include: Induction into the American Institute for Medical and Biological Engineering College of Fellows (top 2% of medical and biological engineers) in 2014 Charter membership on the Biomedical Imaging Technology (BMIT-B) Study Section of the NIH Center for Scientific Review (2010-2014) Charter membership on the Bioengineering, Technology, and Surgical Sciences (BTSS) Study Section since 2017 As Principal Investigator on multiple NIH grants focused on image-guided brain, liver, kidney, and breast surgery, Dr. Miga maintains a robust research program. He serves as PI and Director of the NIH T32 training program 'Training Program for Innovative Engineering Research in Surgery and Intervention,' which emphasizes the creation of translational technologies for treatment and discovery. His laboratory provides a unique immersive educational environment that emphasizes clinical immersion as a primary focus for engineering researchers in surgery and intervention. Dr. Miga co-founded and directs the Vanderbilt Institute for Surgery and Engineering (VISE), an interdisciplinary, trans-institutional entity designed to bring engineers and physicians together to impact healthcare. His Biomedical Modeling Laboratory focuses on three primary research thrusts: enhancing soft-tissue image guided surgery in multiple organs, developing model-driven interventional guidance for neoadjuvant chemotherapy, and creating model-enhanced ablative therapy delivery systems. His work represents a paradigm shift toward integrated, modular technologies that optimize therapy delivery through procedure-specific and patient-specific computational approaches.

• Health Technology Assessment
• Health Economics
• Simulation Modeling
• +۷ مورد دیگر

Erik Koffijberg is a Full Professor at the University of Twente with appointments at three institutes: the Digital Society Institute, Health Technology & Services Research, and TechMed Centre. His work spans across health technology assessment, health economics, and medical decision modeling, with a strong focus on applying quantitative methods to healthcare problems. Professor Koffijberg's research interests encompass Health Technology Assessment, Health Economics, Simulation Modeling, Diagnostic Innovations, Biomarkers, Prediction, Artificial Intelligence, Medical Devices, Cost-effectiveness analysis, Staffing, Budget Impact analysis, Resource use, Value of Information analysis, Meta-modeling, and Optimization. His work particularly contributes to UN Sustainable Development Goals related to health and well-being. His research fingerprint shows strong activity in Patient Care, Health Care Cost Analysis (87%), Cost-Effectiveness Analysis (66%), General Health (54%), Therapeutic Procedures (40%), Diagnosis (40%), Cardiovascular Disease (31%), and Systematic Reviews (29%). His recent publication portfolio demonstrates a clear trajectory in applying health economics and modeling techniques to medical technology assessment. The 2025 publications reveal a strong focus on cost-effectiveness analysis of medical imaging technologies (particularly PET/CT), AI applications in health economics research, and addressing methodological challenges in subgroup analyses. His work bridges clinical medicine, economic evaluation, and technological innovation, with particular emphasis on oncology, rheumatology, and precision medicine applications. Professor Koffijberg serves as a Member of the Scientific Advisory Board at Zorginstituut Nederland since January 2021 and is recognized as an Artificial Intelligence Expert regarding the Economical/Environmental Impact of AI and its Societal Context. His research output is substantial with 215 publications, 5 datasets, 42 activities, and 2 press/media contributions. He has supervised 10 students and has examined PhD theses, including Brenda Leeneman's thesis at Erasmus University in 2021. His work has generated significant scholarly impact with 5,279 citations and a 36 h-index.