جست‌وجوی استاد و پژوهشگر

Scott C. Davisمشاهده پروفایل

دانشیار

• Biomedical Optics
• Cancer Diagnostics and Treatment
• Medical Imaging
• +۳ مورد دیگر

Scott C. Davis is an Associate Professor of Engineering at Dartmouth College, affiliated with the Thayer School of Engineering's Department of Engineering Sciences. His work focuses on biomedical optics, cancer diagnostics, and medical imaging technologies. He holds a BA in Physics from Middlebury College (1997), an MSc in Mechanical Engineering from the University of Virginia (2000), and a PhD in Engineering Sciences from Dartmouth College (2008). His research interests include developing optical techniques for cancer detection and treatment, such as fluorescence-guided surgery, photodynamic therapy, and molecular imaging. He co-founded DoseOptics LLC , a startup advancing radiation therapy safety through Cerenkov imaging. His innovations have been recognized with awards like the Department of Defense Breast Cancer Research Program Traineeships and the Thomas Kelvin Burnap Fellowship. Notable contributions include pioneering dual-channel fluorescence dosimetry for PDT and MRI-guided fluorescence tomography for receptor density quantification. He advises graduate students like Ethan Larochelle and collaborates on grants such as the NIH-funded DoseOptics projects. His lab, the Optics in Medicine Lab, explores translational research to bridge engineering and clinical practice.

Charith Abhayaratneمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Machine Learning
• Multimedia Security
• +۷ مورد دیگر

Dr. Charith Abhayaratne is a Senior Lecturer and EEE Foundation Year Tutor at the School of Electrical and Electronic Engineering, University of Sheffield. He leads the Communications Research Group and serves as the accreditation team lead for the school. With qualifications including a PhD from the University of Bath and a B.E. from the University of Adelaide, his research focuses on signal processing, machine learning, multimedia security, and video coding. His work explores blockchain for content protection, visual salience in robotics, human activity recognition, and advanced video coding techniques (HDR, UHD, 360° video). His research has been funded by Innovate UK, EPSRC, and industry partners. Education: B.E. (Electrical and Electronic Engineering), The University of Adelaide, Australia (1998) PhD (Electronic and Electrical Engineering), University of Bath, UK (2002) PGCertHE (Higher Education), University of Sheffield (2008) Fellow of the Higher Education Academy (FHEA), Member of the Institution of Engineering and Technology (MIET), Member of IEEE (MIEEE) Research Interests: His work spans multimedia security (data hiding, blockchain), computer vision (visual salience, object recognition), and video coding (HDR/UHD). Current projects include robotic vision applications, assisted living through activity recognition, and international standards development (JPEG/MPEG). He has contributed to scalable video standards and serves on technical committees for IEEE, EURASIP, and APSIPA. Awards & Service: Recipient of the Alain Bensoussan Fellowship (ERCIM, 2002) Associate Editor for IEEE Transactions on Image Processing, IEEE Access, and Elsevier JISA Member of EPSRC Peer Review College and British Standards Institution (BSI) Grants & Labs: Active grants from Innovate UK and EPSRC support projects in multimedia security and video coding. His lab leads interdisciplinary work in AI-driven visual analytics and secure media distribution frameworks.

• Porous Media
• Subsurface Flow Modeling
• Reservoir Engineering
• +۷ مورد دیگر

Carl Fredrik Berg is a Professor in the Department of Geosciences at the Norwegian University of Science and Technology (NTNU). His research focuses on porous media flow, subsurface reservoir modeling, and energy-efficient production strategies in petroleum engineering. Key areas include multiphase flow dynamics, CO₂ sequestration, phase-field modeling, and digital rock physics. Recent work emphasizes the interplay between material microstructure and macroscopic properties, particularly in porous media. Collaborations involve developing advanced computational methods for reservoir simulation, optimization algorithms for well placement, and energy policy analysis under CO₂ taxation frameworks. Publications highlight contributions to phase-field equations, permeability estimation from CT scans, and stochastic modeling for subsurface flows. His work bridges theoretical physics, applied mathematics, and engineering applications in oil recovery and environmental geoscience.

• Gait analysis (kinematics and kinetics)
• Osteoarthritis
• Longitudinal Data Analysis
• +۵ مورد دیگر

Dr. Nikae te Moller is an Assistant Professor at the Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University. Her research focuses on equine musculoskeletal health , combining gait analysis (kinematics/kinetics), osteoarthritis progression in equine joints, and longitudinal data analysis . She employs advanced techniques like facial electromyography (fEMG) and R programming for statistical analysis, with applications in science communication (e.g., public dance demonstrations of joint dynamics). Expertise in equine cartilage injury models (blunt vs. sharp lesions) Developed equine carpal groove model for osteoarthritis studies Innovator in optical coherence tomography (OCT) and near-infrared spectroscopy for cartilage assessment Recent publications (2024-2023) emphasize quantitative MRI , micro-CT , and infrared spectroscopy for early detection of cartilage defects. Her work bridges regenerative medicine and equine locomotion , with collaborations across biomedical engineering (e.g., 3D T1 relaxation time studies) and veterinary science. Awards include the Public Engagement Seed Fund . Current projects involve objective pain quantification and biomechanical response to treadmill exercise in horses.

Cristian Tudorel Badeaمشاهده پروفایل

استاد

• Medical Imaging
• Biomedical Engineering
• Radiology
• +۵ مورد دیگر

Cristian Tudorel Badea is a Professor in Radiology and Biomedical Engineering at Duke University. He is a member of the Duke Cancer Institute and leads the Quantitative Imaging and Analysis Lab. His research focuses on micro-CT , photon-counting CT , and quantitative imaging biomarkers for preclinical studies. Education: Ph.D. in Electrical Engineering, University of Patras (Greece), 2001 Research Interests: Dr. Badea specializes in advanced imaging technologies, including deep learning-enabled CT reconstruction , nanoparticle contrast agents , and cardiac imaging in murine models. His work bridges preclinical research and clinical translation , particularly in cancer and cardiovascular diseases. Article Trends: His recent publications emphasize photon-counting micro-CT for cardiac perfusion , deep learning denoising algorithms , 5D imaging , and hybrid spectral CT techniques. Key subfields include tumor vasculature analysis , multi-contrast imaging , and neural network applications in preclinical settings. Labs & Collaborations: He collaborates extensively with the Duke Cancer Institute and leads the Quantitative Imaging and Analysis Lab. His work integrates multimodal imaging (CT, MRI, SPECT) and computational tools for co-clinical trials.

• Medical Imaging
• Emergency Radiology
• Neurotrauma
• +۴ مورد دیگر

Thomas Ptak is a Professor in the Radiology department at the University of Massachusetts Chan Medical School (T.H. Chan School of Medicine). With dual expertise in clinical medicine and research, his work bridges emergency radiology, trauma imaging, and biomedical applications of CT technology. Medical Degree from Albany Medical College Primary Affiliation: UMass Chan Medical School Research Focus : Ptak's research spans two distinct domains: Medical Imaging : Pioneering CT protocols for trauma patients, including dual-energy CT, intra-arterial contrast administration, and perfusion imaging. His work on ACR Appropriateness Criteria has standardized imaging practices for trauma cases. Environmental Science : Earlier contributions to groundwater contamination modeling and aquifer dynamics remain evident through MeSH term associations, though recent publications exclusively focus on clinical radiology. Key Publications (2018-2025) emphasize: Optimizing trauma imaging workflows Advancing CT perfusion techniques for brain injury assessment Developing evidence-based imaging guidelines for the American College of Radiology Comparative studies of imaging modalities in emergency settings Collaborative Networks include partnerships with: Jerry Rhea at UMass Chan Emergency medicine specialists like John Morrison Imaging researchers in the ACR Appropriateness Criteria committees

Michael Antonacciمشاهده پروفایل

دانشیار

• Nuclear Magnetic Resonance (NMR)
• Hyperpolarized Media in NMR
• Physics Education
• +۱۲ مورد دیگر

Michael Antonacci is an Associate Professor of Physics at Saint Vincent College , where he teaches courses ranging from General Physics to Condensed Matter Physics. His research focuses on Ultra-Low and Earth's Field Nuclear Magnetic Resonance (NMR) techniques, particularly using hyperpolarized media for biomedical applications and educational innovations. Education : PhD in Physics (University of North Carolina at Chapel Hill), MDiv (Saint Vincent Seminary), BS in Physics and Mathematics (Saint Vincent College) Antonacci's work on Signal Amplification by Reversible Exchange (SABRE) hyperpolarization methods has led to significant advancements in low-field NMR sensitivity. His team recently achieved 450-fold signal enhancement in aqueous solutions using novel catalysts, paving the way for in vivo bioprobes. He also investigates physics education reform , implementing asynchronous lab formats and assessing their pedagogical effectiveness. Key publications demonstrate his expertise in MR thermometry for brown adipose tissue studies, open-source NMR spectrometer design , and AI integration in physics pedagogy . Collaborations with chemistry departments highlight his interdisciplinary approach to catalyst development. Antonacci's lab provides undergraduate students hands-on experience in organometallic synthesis , magnetic resonance hardware , and scientific communication . Current projects include constructing an ultra-low field NMR spectrometer based on the OCRA open-source console and expanding SABRE-SHEATH techniques for 13 C hyperpolarization.

Gracie Vargasمشاهده پروفایل

استاد

• Biomedical Optics
• Optical Imaging
• Tissue Engineering
• +۳ مورد دیگر

Gracie Vargas is a Professor at the University of Texas Medical Branch , Department of Neuroscience, Cell Biology & Anatomy. Her research focuses on optical techniques for disease monitoring , particularly changes in tissue microstructure and biochemical makeup during pathology. PhD in Biomedical Engineering, University of Texas at Austin MS in Mechanical Engineering, University of Texas at Austin B.A. in Physics, Gustavus Adolphus College Research Interests : Development of multiphoton microscopy and optical coherence tomography for disease progression monitoring Applications in head/neck cancers , Alzheimer's disease , and pulmonary fibrosis Focus on autofluorescence , scattering , and molecular contrast agents Article Trends (2018-2025): Advancements in handheld optical probes for clinical translation Development of multimodal imaging workflows combining widefield fluorescence with nonlinear microscopy Applications spanning oral neoplasia detection , retinal degeneration , and infectious disease imaging Labs & Collaborations : UTMB Center for Cancers of the Head and Neck UTMB Center for Addiction Research Collaborations in bioengineered lung transplantation and ovine vaginal microbiome research

• Medical Biometry
• Epidemiology
• Clinical Research
• +۳ مورد دیگر

Ann-Kathrin Ozga is a Research Fellow at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Institute of Medical Biometry and Epidemiology under the Faculty of Medicine. Her work focuses on medical biometry, epidemiology, and clinical research, with a strong emphasis on statistical methodology in healthcare. She contributes to interdisciplinary studies across cardiology, oncology, and critical care, analyzing outcomes of treatments like anticoagulation therapies and imaging biomarkers. Ozga has published extensively on topics including liver disease management, rare disorders, and healthcare data analysis, collaborating with international teams. Her research bridges clinical practice and statistical rigor, addressing critical questions in translational medicine and public health. Education: PhD in Biometry/Epidemiology (specific program details not explicitly stated). Her research interests include developing novel statistical models for clinical endpoints, optimizing diagnostic protocols (e.g., CT imaging biomarkers), and evaluating interventions for chronic diseases. Ozga co-leads the German Society for Medical Informatics, Biometry, and Epidemiology's statistical methodology group for clinical research. Recent work highlights include studies on anticoagulation strategies in atrial fibrillation (NOAH-AFNET 6 trial), TIPS in cirrhosis, and quality-of-life analyses for rare disease families. She also investigates gender disparities in medical authorship and radiology publication trends, emphasizing methodological advancements in clustered competing risks data.

• Computer Vision
• Imaging
• Optimization Algorithms
• +۳ مورد دیگر

Michael Möller is a Professor for Computer Vision at the University of Siegen, Germany. His research focuses on integrating model-based and learning-based techniques in imaging and vision, with an emphasis on efficient optimization algorithms for solving high-dimensional minimization problems. Research Interests: Combining classical model-based methods with deep learning Optimization algorithms for inverse problems Applications in CT reconstruction, image segmentation, and quantum computing Development of energy-dissipating neural networks and non-smooth regularization techniques Scientific Awards: Best Paper Award at ISWC 2021 Best Paper Honorable Mention at GCPR 2020 Best Paper Award at VMV 2015 Collaborations and Grants: Active collaborations with institutions like IEEE, Springer, and universities across Europe. Publications in top-tier venues such as NeurIPS, CVPR, ICCV, and ICLR. His work spans theoretical frameworks (e.g., convex relaxations, spectral methods) and practical applications (e.g., medical imaging, THz defect detection).

Peter J. Bonitatibusمشاهده پروفایل

دانشیار

• Nanoparticle Chemistry
• Inorganic Chemistry
• CT Contrast Agents
• +۳ مورد دیگر

Peter J. Bonitatibus is an Associate Professor in the Department of Chemistry and Chemical Biology at Renssela Polytechnic Institute (RPI), specializing in inorganic and nanoparticle chemistry for diagnostic imaging and catalysis. His research focuses on intravenous nanoparticle-based CT contrast agents, particularly tantalum oxide formulations with biocompatible polymer shells, funded continuously by NIH since 2013 alongside NSF and industry partnerships. His educational background includes: B.S. in Chemistry from Fairfield University (1993) with Pfizer Fellowship Award research in manganese-oxo clusters Ph.D. with Honors in Chemistry from Boston College (1999) studying low-valent vanadium compounds Postdoctoral research at MIT (2001) with Nobel Laureate R. Schrock on organometallic polymerization catalysts Prof. Bonitatibus' research centers on nanoparticle-based CT contrast agents for reduced radiation dose and new imaging applications, leveraging liquid-phase synthesis of inorganic nanoparticles. His secondary focus spans organometallic catalysis (especially hydrosilation) and metals in medicine , with expertise in designing novel organosilanes, hydrosilation catalysts, and characterization via crystallography and EPR spectroscopy. He teaches Inorganic Chemistry II (CHEM 4010) annually at RPI. His 10 most recent publications (2016-2022) reveal dual research trajectories: (1) preclinical development of tantalum oxide CT contrast agents addressing obesity imaging challenges and dual-energy optimization, and (2) fundamental studies of vanadium/zirconium complexes advancing catalyst design and structural characterization. This work bridges materials synthesis with clinical translation, emphasizing radiation dose reduction and novel imaging applications. His scientific recognition includes: Pfizer Fellowship Award (undergraduate research) As Principal Investigator, he currently leads NIH SBIR (HL152877-01), NSF MRI (x-ray diffractometer acquisition), and Momentive-sponsored hydrosilation catalyst projects, building on prior NIH R01-EB015476 (2013-2017) and DOE collaborations. His 15 U.S. patents and 45+ publications reflect translational impact, while his role as journal/conference reviewer for DOE, JACS, ACS Nano, and WMIS demonstrates scholarly leadership. Prof. Bonitatibus operates within RPI's Center for Materials, Devices, and Integrated Systems (CMDIS), collaborating with UCSF, Rochester, and industry partners to advance nanoparticle technologies from synthesis through preclinical validation, with current efforts focused on vascular contrast agents for spectral CT applications.

Milan Sonkaمشاهده پروفایل

استاد

• Medical Image Analysis
• Image Processing
• Deep Learning in Healthcare
• +۴ مورد دیگر

Milan Sonka is the Lowell G. Battershell Chair in Biomedical Engineering and Professor of Electrical & Computer Engineering at the University of Iowa's College of Engineering. He also holds academic roles in Radiation Oncology and Ophthalmology & Visual Sciences at the Carver College of Medicine. His primary research focuses on medical image analysis and deep learning applications in healthcare. Education: PhD in Digital Image Analysis, Czech Technical University (1984) MS in Electrical Engineering (Tech. Cybern.), Czech Technical University (1979) Research Interests: Development of advanced algorithms for medical imaging modalities like OCT, MRI, and CT Deep learning applications in diagnostics, including automated pathology detection and segmentation Cardiac and ophthalmic imaging for conditions such as glaucoma, AMD, and cardiac allograft vasculopathy AI-driven tools for clinical decision support systems Professional Contributions: Editorial roles: IEEE Transactions on Medical Imaging, Medical Image Analysis Fellowships: IEEE, AIMBE Leadership: Director of Iowa Initiative for Artificial Intelligence and Iowa Institute for Biomedical Imaging Key Projects: Automated OCT analysis for coronary artery plaque assessment AI models for glioblastoma vs. metastatic brain tumor differentiation Development of segmentation tools like Sli2Vol+ and LOGISMOS Labs/Teams: Active in interdisciplinary teams at the Iowa Initiative for AI and Iowa Institute for Biomedical Imaging, focusing on translating algorithmic innovations into clinical practice.

Jochen Camminمشاهده پروفایل

استادیار

• Medical Physics
• Radiation Oncology
• Computed Tomography
• +۵ مورد دیگر

Jochen Cammin is an Assistant Professor in the Department of Radiation Oncology at the University of Maryland, Baltimore. He serves as Associate Director of the Medical Physics Residency Program and works in the UMMC/Radiation Oncology GG location. His expertise spans medical physics, computed tomography, and radiation therapy technologies. University of Bonn - Diplom in Physics (1999) University of Bonn - PhD in Physics (2004) University of Pennsylvania - Medical Physics Certificate (2015) Dr. Cammin's research focuses on CT image reconstruction , novel detector development , and radiation therapy applications . His work addresses motion management in cardiac radioablation, metal artifact quantification , and spectral distortion modeling in photon-counting CT. Current projects include predictive modeling for radiation-induced lung injury and advancements in multi-energy CT technologies. Recent publications highlight his contributions to proton CT systems, motion compensation techniques, and medical imaging algorithms . His research combines fundamental physics principles with clinical applications in radiation oncology. Feodor-Lynen Fellow (Humboldt Foundation, Germany, 2004-2006) Mentor of the Year (Washington University, 2019) Dr. Karl Prado Physics Educator of the Year (UMSOM, 2024) Dr. Cammin has held leadership roles in AAPM, including co-chairing Task Group TG66U1 for CT simulator quality assurance and contributing to Work Group MPPG 19 for respiratory motion management systems. He serves on the JACMP Board of Associate Editors.

Pim de Jongمشاهده پروفایل

استاد

• Radiology
• Cardiovascular Disease
• AI in Medical Imaging
• +۵ مورد دیگر

Pim de Jong is a Full Professor of Radiology actively engaged in cardiovascular imaging research. He leads projects within strategic programs including Cancer, Circulatory Health, Infection & Immunity, and Regenerative Medicine & Stem Cells. Research Focus: His work centers on calcification formation as a repair mechanism and smoking-related disease, utilizing advanced imaging and AI for individualized detection, prediction, and minimally invasive treatment of cardiovascular disease. Current Positions: PhD Supervisor at Philips Healthcare Adviser to Fahr Patienten Vereniging Nederland Medical Expertise Committee at Nederlandse Vereniging voor Radiologie Contact: Email: pimdejong@gmail.com Research Group: Cardiovascular Imaging and Image-Guided Treatment

Jan Wilkensمشاهده پروفایل

استاد

• Medical Radiation Physics
• Radiation Therapy with Photons and Particles
• Laser-driven Ion Beams
• +۳ مورد دیگر

Jan Wilkens is a Professor for Advanced Technologies in Radiation Therapy at the Department of Radiation Oncology and Radiotherapy , Technical University of Munich (TUM), since 2008. As head of the Medical Physics Unit since 2012, he focuses on innovations in Medical Radiation Physics Radiation Therapy with Photons and Particles Laser-driven Ion Beams Treatment Planning and Dose Optimization Medical Imaging . His research emphasizes advanced radiation therapy technologies, including microbeam irradiation, X-ray dark-field imaging, and spectral CT for electron density measurement. Recent publications highlight applications in Radiation-induced lung injury detection Synctrotron-based imaging Proton and ion beam therapy Dose redistribution strategies . Key trends in his work include radiation biology studies, medical imaging innovations for early damage detection, and machine learning integration (implied through departmental collaborations). His experimental models span murine lung injury and synchrotron radiation applications in clinical contexts.