Collaborative Projects

CAI2R works with partners across the U.S. and abroad to accelerate the development of high-impact biomedical imaging technologies.

We are engaged in 67 Collaborative Projects with researchers at 33 institutions in nine countries on four continents.

Collaborative Projects (CPs) are joint investigations with scientists and clinicians in the U.S. and abroad that serve as test-beds for new technologies with significant potential biomedical impact.

Through CPs we engage research partners in “push-pull” relationships. The technologies provided by our Center help investigators solve uniquely challenging problems (push). In return, feedback from CP partners helps us modify and improve the very technologies we develop (pull).

Most CPs can be classified as focused on musculoskeletal, neurologic, oncologic, or cardiovascular imaging applications. Some CPs are better understood as industry partnerships aimed at technological development per se. All CPs interact with at least one of our Center’s Technology R&D Projects (TR&Ds). A few also interact with our Training and Dissemination components (T&D), where dissemination means open sharing of unique research resources and provision of advanced capabilities via Service Projects.

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Proposed Collaborative Projects

Collaborative projects put forth in our NCBIB’s renewal proposal for the 2024-2029 funding period accelerate the development of our newest technologies while advancing our partners’ scientific investigations.

Geographic Distribution of Proposed Projects

Taken together, our proposed Collaborative and Service Projects involve research partners at more than 40 institutions in 13 states and 10 countries across North America, Europe, Asia, and Australia.

Interactions of Proposed Collaborative Projects

TR&Ds →123
CP 1 [CP Huang-Lee-Rosen] neuro
CP 2 [CP Ugurbil-Metzger] neuro
CP 3 [CP Northington] neuro
CP 4 [CP Liu] MSK
CP 5 [CP Srinivasan] neuro
CP 6 [CP Jelescu] neuro
CP 7 [CP Edelman] neuro, onco
CP 8 [CP Yin] abdominal
CP 9 [CP Otazo] onco
CP 10 [CP Sierra] neuro
Collaborative Projects 11-32
Interactions of our the 10 Collaborative Projects featured in our NCBIB renewal proposal with the proposed Technology R&D Projects. Project entries note main areas of clinical application: neurologic imaging, musculoskeletal imaging, oncologic imaging, and abdominal imaging.

List of Proposed Collaborative Projects

  • Revealing tissue microstructure on a Connectome 2.0 scanner
    🇺🇸 Massachusetts General Hospital, Boston, MA
    Susie Yi Huang, MD, PhD; Hong-Hsi Lee, PhD; Bruce Rosen, MD, PhD
    TR&D 2, TR&D 3
    neurologic imaging
  • Technology to realize the full potential of ultra-high-field MRI
    🇺🇸 University of Minnesota, Minneapolis, MN
    Kamil Ugurbil, PhD; Gregory Metzger, PhD
    TR&D 2
    neurologic imaging
  • Imaging neonatal hypoxic ischemic injury
    🇺🇸 Johns Hopkins University, Baltimore, MD
    Frances J. Northington, MD
    TR&D 3
    neurologic imaging
  • Rapid three-dimensional simultaneous knee multi-relaxation mapping
    🇺🇸 Harvard Medical School, Boston, MA
    Fang Liu, PhD
    TR&D 1
    musculoskeletal imaging
  • Advanced next generation radio frequency coils for magnetic resonance imaging
    🇺🇸 Advanced Imaging Research, Inc, Cleveland, OH
    Ravi Srinivasan
    TR&D 2
    neurologic imaging
  • Diffusion MRI as an in vivo microscope for brain structure and function
    🇨🇭 University of Lausanne, Switzerland
    Ileana Jelescu, PhD
    TR&D 3
    neurologic imaging
  • Improved detection of cerebral metastases using a novel T1 relaxation-enhanced steady-state (T1RESS) MRI Technique
    🇺🇸 NorthShore University HealthSystem, Evanston, IL
    Robert R. Edelman, MD
    TR&D 1
    neurologic imaging, oncologic imaging
  • Noninvasive assessment of portal hypertension and hepatic interstitial pressure with advanced magnetic resonance elastography
    🇺🇸 Mayo Clinic, Rochester, MN
    Meng Yin, PhD
    TR&D 1
    abdominal imaging
  • Real-time MRI-guided adaptive radiotherapy of unresectable pancreatic cancer
    🇺🇸 Memorial Sloan Kettering Cancer Center, New York, NY
    Ricardo Otazo, PhD
    TR&D 1, TR&D 2
    oncologic imaging
  • From 3D electron microscopy tissue model to pathology specific multidimensional diffusion MRI
    🇫🇮 University of Eastern Finland, Kuopio, Finland
    Alejandra Sierra, PhD
    TR&D 3
    neurologic imaging
  • Characterization of whole brain demyelination and axon damage using high-resolution magnetic resonance imaging
    🇺🇸 Indiana University, Bloomington, IN
    Nian Wang, PhD
    TR&D 3
    neurologic imaging
  • In vivo insights on small vessel changes with age using USPIO-enhanced MRI
    🇺🇸 Wayne State University, Detroit, MI
    🇺🇸 NYU Langone Health, New York, NY
    Mark E. Haacke, PhD; Yulin Ge, MD
    TR&D 1, TR&D 2
    neurologic imaging
  • Effective medium theory for multi-dimensional diffusion MRI
    🇩🇰 Aarhus University, Denmark
    Sune Jespersen, PhD
    TR&D 3
    neurologic imaging
  • A 3D multimodal micron-scale human brain atlas bridging single cell data, neuropathology, and neuroradiology
    🇺🇸 Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
    Partha P. Mitra, PhD
    TR&D 3
    neurologic imaging
  • Transcranial photobiomodulation for alzheimer’s disease
    🇺🇸 NYU Langone Health, New York, NY
    Dan V. Iosifescu, MD
    TR&D 2
    neurologic imaging
  • Advanced methods and applications for multinuclear MRI
    🇦🇺 University of Queensland, Brisbane, Australia
    🇺🇸 NYU Langone Health, New York, NY
    Martijn Cloos, PhD; Guillaume Madelin, PhD
    TR&D 1, TR&D 2
    musculoskeletal imaging
  • Physics-driven and data-driven quantitative knee joint mapping
    🇺🇸 NYU Langone Health, New York, NY
    Ravinder Regatte, PhD; Marcelo Zibetti, PhD
    TR&D 1, TR&D 2
    musculoskeletal imaging
  • End-to-end deep learning image reconstruction and pathology detection
    🇩🇪 Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
    Florian Knoll, PhD
    TR&D 1
    musculoskeletal imaging
  • Genomic and imaging markers to understand and predict progression of joint damage after injury
    🇺🇸 NYU Langone Health, New York, NY
    Amparo Ruiz, PhD; Thorsten Kirsch, PhD
    TR&D 1
    musculoskeletal imaging
  • Imaging of breast cancer: advances in image acquisition and interpretation
    🇺🇸 Weill Cornell Medicine, New York, NY
    🇺🇸 NYU Langone Health, New York, NY
    Sungheon Gene Kim, PhD; Linda Moy, MD
    TR&D 1
    oncologic imaging
  • Ultrasound-based sensors for the fusion and motion correction of MRI and PET/CT data
    🇺🇸 Brigham and Women’s Hospital, Boston, MA
    Bruno Madore, PhD
    TR&D 1, TR&D 2
    oncologic imaging
  • New-generation oncological MRI (New-OncoMRI): development, validation, and application
    🇪🇸 Vall D’Hebron Institute of Oncology (VHIO), Spain
    Francesco Grussu, PhD
    TR&D 3
    oncologic imaging
  • Advanced diffusion imaging for management of renal cancer: oncologic control and renal functional reserve
    🇺🇸 NYU Langone Health, New York, NY
    Eric Sigmund, PhD
    TR&D 1, TR&D 3
    oncologic imaging
  • Quantitative magnetic resonance biopsies: exploiting signal asymmetries for next-generation noninvasive biomarker mapping
    🇨🇭 University of Bern, Switzerland
    Jessica Bastiaansen, PhD
    TR&D 1, TR&D 3
    oncologic imaging
  • Future imaging hardware and software platforms
    🇩🇪 Siemens Healthineers, Erlangen, Germany
    Donald Hardie, PhD; Himanshu Bhat, PhD
    TR&D 1, TR&D 2, TR&D 3
    industry partnership
  • Artificial intelligence for automated risk assessment from high-field and low-field MR images
    🇺🇸 Siemens Healthineers, Princeton, NJ
    Dorin Comaniciu, PhD
    TR&D 1, TR&D 2, TR&D 3
    industry partnership
  • Imaging methods and applications at 0.064 T
    🇺🇸 Hyperfine, Inc., Guilford, CT
    Megan Poorman, PhD
    TR&D 1, TR&D 2, TR&D 3
    industry partnership
  • New use cases for low-field MRI systems
    🇨🇭 Multiwave Technologies AG, Geneva, Switzerland
    Panos Antonakakis, PhD
    TR&D 1, TR&D 2
    industry partnership
  • MR-guided radiation therapy: motion monitoring and tissue bioeffects
    🇸🇪 Elekta, Stockholm, Sweden
    🇳🇱 Philips Healthcare, Best, Netherlands
    🇺🇸 Philips Healthcare, Andover, MA
    John Christodouleas, MD; E. Brian Welch, PhD
    TR&D 1, TR&D 2
    industry partnership
  • Rapid robust pediatric MRI
    🇺🇸 Stanford University, Palo Alto, CA
    🇺🇸 University of California at Berkeley, Berkeley, CA
    Shreyas Vasanawala, MD, PhD; Miki Lustig, PhD
    TR&D 1
    musculoskeletal, neurologic, oncologic, and cardiovascular imaging
  • Cloud MR: an open-source software framework to democratize MRI training and research
    🇺🇸 NYU Langone Health, New York, NY
    Riccardo Lattanzi, PhD
    TR&D 1, T&D
  • Diabetes, RAGE/DIAPH1 and myocardial infarction
    🇺🇸 NYU Langone Health, New York, NY
    Ravichandran Ramasamy, PhD
    TR&D 2
    cadiovascular imaging
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Active Collaborative Projects

Collaborative projects sustained during our NCBIB’s current funding period.

  • Learning an optimized variational network for image reconstruction
    🇦🇹 Graz University of Technology, Austria
    Thomas Pock, PhD
    TR&D 1, TR&D 3
    musculoskeletal, neurologic, oncologic, and cardiovascular imaging
  • Rapid robust pediatric MRI
    🇺🇸 University of California Berkeley
    🇺🇸 Stanford University
    Shreyas Vasanawala, MD, PhD; Miki Lustig, PhD
    TR&D 1
    musculoskeletal, neurologic, oncologic, and cardiovascular imaging
  • Imaging of breast cancer: advances in image acquisition and interpretation
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    S. Gene Kim, PhD; Linda Moy, MD
    TR&D 1
    oncologic imaging
  • Elementary neuronal ensembles to whole brain networks: ultrahigh resolution imaging of function and connectivity in humans
    🇺🇸 University of Minnesota
    Kamil Ugurbil, PhD
    TR&D 2
    neurologic imaging
  • Novel biomarkers for the assessment of cartilage integrity
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    José Raya, PhD
    TR&D 1, TR&D 2, TR&D 3, TR&D 4
    musculoskeletal imaging
  • Examining the role of brain sodium content in multiple sclerosis using MRI
    🇺🇸 Icahn School of Medicine at Mount Sinai
    Matilde Inglese, MD, PhD
    TR&D 2, TR&D 3
    neurologic imaging
  • Sleep aging and risk for Alzheimer’s disease
    🇺🇸 NYU Grossman School of Medicine (Psychiatry)
    Ricardo Osorio Suarez, MD
    TR&D 3, TR&D 4
    neurologic imaging
  • Ultra-high-resolution imaging of human gray matter and mouse brain development
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Yulin Ge, MD; Daniel Turnbull, PhD; Jiangyang Zhang, PhD
    TR&D 1, TR&D 2, TR&D 4
    neurologic imaging
  • Advanced diffusion imaging in diagnosis, treatment and characterization of schizophrenia
    🇺🇸 University of Maryland
    L. Elliot Hong, MD; Peter Kochunov, PhD
    TR&D 4
    neurologic imaging
  • Connectome 2.0: The next generation human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
    🇺🇸 Harvard Medical School
    Susie Huang, MD, PhD
    TR&D 4
    neurologic imaging
  • Deep learning-based imaging biomarkers for knee osteoarthritis
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Cem M. Deniz, PhD
    TR&D 1
    musculoskeletal imaging
  • Neuroenergetic adaptations in Alzheimer’s disease: implications on amyloid burden and cognition
    🇺🇸 NYU Grossman School of Medicine (Psychiatry, Radiology)
    Ricardo Osorio, PhD; Ryan Brown, PhD
    TR&D 2
    musculoskeletal imaging
  • Multiparametric magnetic resonance spectroscopy for the early detection of neurodegeneration in relapsing-remitting multiple sclerosis
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    🇮🇱 Weizmann Institute of Science, Israel
    Ivan I. Kirov, PhD; Assaf Tal, PhD
    TR&D 4
    neurologic imaging
  • Contrast agents for inflammation and osteoarthritis
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    José María Raya García del Olmo, PhD; María Amparo Ruiz Garzón, PhD
    TR&D 1, TR&D 2, TR&D 4
    musculoskeletal imaging
  • Development of multi-compartment MR-fingerprinting for subvoxel estimation of quantitative tissue biomarkers
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Jakob Asslaender, PhD; Florian Knoll, PhD
    TR&D 1
    cardiovascular, musculoskeletal, neurologic, and oncologic imaging
  • Fingerprinting-based neuronal fiber identification
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Steven Baete, PhD
    TR&D 1, TR&D 4
    neurologic imaging
  • Quadri-nuclear MRI to study brain energy metabolism
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Guillaume Madelin, PhD; Ryan Brown, PhD
    TR&D 2
    neurologic imaging
  • Advanced software for MRI, PET, SPECT and CT image analysis
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Henry Rusinek, PhD
    TR&D 1, TR&D 3
    neurologic imaging
  • Low-field MRI
    🇺🇸 National Institutes of Health; National Heart, Lung, and Blood Institute
    Adrienne Campbell-Washburn, PhD
    TR&D 1, TR&D 2
    cardiovascular imaging
  • Ultrasound sensors for MRI
    🇺🇸 Brigham and Women’s Hospital
    Bruno Madore, PhD
    TR&D 2
  • Focusing RF and ultrasound: parallel MR transmission for highfield neuroimaging, and pressure field mapping for MR-guided focused ultrasound
    🇺🇸 Vanderbilt University
    William Grissom, PhD
    TR&D 1, TR&D 2
    neurologic imaging
  • Parallel MRI for high field neuroimaging
    🇺🇸 University of Hawaii
    V. Andrew Stenger, PhD
    TR&D 1, TR&D 2
    neurologic imaging
  • The developing human connectome project
    🇬🇧 Imperial College London
    Daniel Rueckert, PhD
    TR&D 1
    neurologic imaging
  • Technology for high-performance high-field spectroscopy and imaging
    🇺🇸 University of Pittsburgh
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Oded Gonen, PhD; Hoby Hetherington, PhD; Jullie Pan, PhD
    TR&D 2
    neurologic imaging
  • Novel diffusion MRI in early psychosis, and advanced neuroimaging analysis
    🇺🇸 Brigham and Women’s Hospital
    Carl-Fredrik Westin, PhD
    TR&D 4
    neurologic imaging
  • Effective medium theory for multidimensional diffusion MRI
    🇩🇰 Aarhus University, Denmark
    Sune Jespersen, PhD
    TR&D 4
    neurologic imaging
  • Life science and biomedical technology research center at NSLS-II
    🇺🇸 Brookhaven National Laboratory
    Lin Yang, PhD
    TR&D 4
    neurologic imaging
  • Cognitive neuroscience with 7T MRI
    🇺🇸 NYU Grossman School of Medicine (Neuroscience)
    Biyu He, PhD
    TR&D 2
    neurologic imaging
  • Mechanisms of transcranial alternating current stimulation (tACS)
    🇺🇸 NYU Grossman School of Medicine (Neuroscience)
    Gyorgy Buzsaki, PhD
    TR&D 2
    neurologic imaging
  • Assessment of tDCS-induced neuronal responses with advanced MRI
    🇺🇸 NYU Grossman School of Medicine (Neurology, Radiology)
    Leigh Charvet, PhD; Yulin Ge, MD
    TR&D 2
    neurologic imaging
  • Optical and acoustic neuromodulation: mechanistic studies, and a practical mesoscopic neural interface for image-guided neuromodulation in behaving animals
    🇺🇸 NYU Grossman School of Medicine (Neuroscience, Opthalmology, Tech4Health)
    Shy Shoham, PhD
    TR&D 2
    neurologic imaging
  • RF coil and MR thermometry development for MRgFUS
    🇺🇸 NYU Grossman School of Medicine (Neurosurgery)
    Alon Mogilner, MD
    TR&D 1, TR&D 2
    neurologic imaging
  • Imaging dopamine D2 agonist binding sites in schizophrenia
    🇺🇸 NYU Grossman School of Medicine (Psychiatry)
    Gordon W. Frankle, MD
    TR&D 3
    neurologic imaging
  • In vivo insights on small vessel changes with age using USPIO-enhanced MRI
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Yulin Ge, MD
    TR&D 1, TR&D 2
    neurologic imaging
  • Mechanisms of age-related white matter hyperintensities: insights from advanced MRI
    🇺🇸 NYU Grossman School of Medicine (Radiology, Neurology)
    Yulin Ge, MD; Thomas Wisniewski, MD
    TR&D 1, TR&D 4
    neurologic imaging
  • New region-specific targeted MRI to characterize Alzheimer’s disease pathology
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Timothy Shepherd, MD, PhD
    TR&D 1, TR&D 2, TR&D 3, TR&D 4
    neurologic imaging
  • Simultaneous multinuclear Magnetic Resonance Fingerprinting for data fusion of quantitative structural and metabolic imaging
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Martijn Cloos, PhD; Guillaume Madelin, PhD
    TR&D 1, TR&D 2
    neurologic imaging
  • Why are certain muscles spared longer than others in muscular dystrophies
    🇳🇱 Leiden University Medical Center, The Netherlands
    Louise van der Weerd, PhD
    TR&D 4
    musculoskeletal imaging
  • Isolating CEST from MT Asymmetry in MRI
    🇺🇸 New York University (Chemistry)
    Alexej Jerschow, PhD
    TR&D 2
    musculoskeletal imaging
  • MRI of proximal femur microarchitecture as a biomarker of bone quality
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Gregory Chang, MD
    TR&D 1, TR&D 2
    musculoskeletal imaging
  • Multi-nuclear assessment of diabetic peripheral neuropathy
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Ryan Brown, PhD
    TR&D 2
    musculoskeletal imaging
  • Clinical evaluation of GRASP
    🇨🇭 University of Basel, Switzerland
    Elmar Merkle, MD
    TR&D 1
    oncologic imaging
  • Motion-robust lung and liver imaging with XD-GRASP
    🇧🇷 Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Brazil
    🇺🇸 Memorial Sloan Kettering Cancer Center
    Matteo Baldiserotto, MD; Alexandre Franco, PhD; Ricardo Otazo, PhD
    TR&D 1
    oncologic imaging
  • Tools for capturing immune cell/cancer cell interactions in cancer immunotherapies and combination immunotherapies
    🇺🇸 California Institute of Technology
    James R. Heath, PhD; Mikhael Shapiro, PhD
    TR&D 4
    oncologic imaging
  • Identifying metabolic dependencies in genetic subtypes of KRAS-driven lung cancer
    🇺🇸 NYU Grossman School of Medicine (Pathology)
    Thales Papagiannakopoulos, PhD
    TR&D 3
    oncologic imaging
  • Development of an MR-Gleason score for prostate cancer using advanced MRI metrics
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Andrew Rosenkrantz, MD
    TR&D 1, TR&D 4
    oncologic imaging
  • Diffusion MRI of treatment response for de-escalation of radiation therapy
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    S. Gene Kim, PhD
    TR&D 4
    oncologic imaging
  • Breast cancer intravoxel incoherent motion multisite (BRIMM) study of therapy response
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    🇺🇸 Memorial Sloan Kettering Cancer Center
    Eric Sigmund, PhD; Sunitha Bai Thakur, MD, PhD
    TR&D 4
    oncologic imaging
  • fastMRI
    🇺🇸 Facebook AI Research
    Yann Lecun, PhD; Nafissa Yakubova; Lawrence Zitnick, PhD
    TR&D 1
    industry partnership
  • Artificial intelligence for automated image quality assessment
    🇺🇸 Siemens Healthcare, Princeton, NJ
    Dorin Comaniciu, PhD
    TR&D 1
    industry partnership
  • Future imaging hardware and software platforms
    🇩🇪 Siemens Healthineers, Erlangen, Germany
    D. Hardie, PhD; Rebecca Ramb, PhD
    TR&D 1, TR&D 2, TR&D 3
    industry partnership
  • Anthropomorphic phantom development with 3D printing for surgical planning and technique validation
    🇺🇸 Stratasys
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Jesse Roitenberg; Nicole Wake, PhD
    TR&D 2
    industry partnership
  • Patient-specific MR safety protection
    🇺🇸 Flywheel Exchange
    Can Akgun, PhD
    TR&D 2
    industry partnership
  • Research collaboration on MRguided focused ultrasound
    🇮🇱 Insightec, Israel
    Yeruham Shapira, PhD
    TR&D 1, TR&D 2
    industry partnership
  • Open-source datasets for datadriven magnetic resonance research
    🇺🇸 Stanford University
    Gary Glover, PhD
    TR&D 1, T&D
  • SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis & learning
    🇬🇧 Imperial College London, U.K.
    Daniel Rueckert, PhD
    TR&D 1
    cardiovascular imaging
  • SparseCT: Order-of-magnitude dose reduction with interruptedbeam acquisition
    🇺🇸 Memorial Sloan Kettering Cancer Center
    🇺🇸 Brigham and Women’s Hospital
    Ricardo Otazo, PhD; Aaron Sodickson, MD, PhD
    TR&D 1
  • Motion-resolved cardiac imaging with XD-GRASP
    🇨🇭 University of Lausanne, Switzerland
    🇺🇸 Memorial Sloan Kettering Cancer Center
    Li Feng, PhD; Ricardo Otazo, PhD; Matthias Stuber, PhD
    TR&D 1
    cardiovascular imaging
  • Innovative MRI-based characterization of cardiac dyssynchrony
    🇺🇸 Rutgers University
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Leon Axel, MD, PhD; Dimitris Metaxas, PhD
    TR&D 1
    cardiovascular imaging
  • Interactions of radiofrequency electromagnetic fields with biological tissue, and electrodynamics using integral equations
    🇺🇸 Massachusetts Institute of Technology
    Luca Daniel, PhD; Jacob White, PhD
    TR&D 1, TR&D 2
  • Variational Methods for Dynamic Inverse Problems in the Life Sciences
    🇩🇪 University of Muenster, Germany
    Martin Burger, PhD
    TR&D 1, TR&D 3
  • Mapping the microscale origins of MRI contrast with subcellular NV diamond magnetometry
    🇺🇸 Harvard University
    Ronald Walsworth, PhD
    TR&D 4
  • dMRI quantification of membrane permeability in cells with genetically controlled aquaporin expression
    🇺🇸 University of California, Santa Barbara
    Arnab Mukherjee, PhD
    TR&D 4
  • Implementation and evaluation of a regional image share network
    🇺🇸 NYU Grossman School of Medicine (Radiology, Population Health)
    Leora Horwitz, MD; Michael Recht, MD; Andrew Rosenkrantz, MD
    TR&D 1, T&D
  • Novel software tools for rational design and assessment of MR coils
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Riccardo Lattanzi, PhD
    TR&D 2
  • M-CUBE: MetaMaterials antenna for ultra-high field MRI
    🇷🇺 ITMO University, Russia
    Stanislav Glybovski, PhD
    TR&D 2
  • Comparative effectiveness of imaging methods and technologies
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Stella Kang, MD, MSc
    TR&D 1, TR&D 2, TR&D 3, TR&D 4
  • Quantitative cardiac sodium MRI
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Leon Axel, MD, PhD; Guillaume Madelin, PhD
    TR&D 2
  • Understanding CSF clearance in aging and Alzheimer’s brain through dynamic sodium MRI
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Yongxian Qian, PhD
    TR&D 2
  • Longitudinal characterization of postnatal brain maturation after fetal Zika infection
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Erika Raven, PhD
    TR&D 4
  • Human brain interferometers for better blood flow monitoring
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Vivek Jay Srinivasan, PhD
    TR&D 2
  • MRI-guided personalized targeting of the ventral intermediate nucleus (VIM)/ dentato-rubro-thalamic tract (DRT) for the MRgFUS tremor treatment
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Sohae Chung, PhD
    TR&D 2
  • Locus-coeruleus function in normal elderly and AD risk (LEAD)
    🇺🇸 NYU Grossman School of Medicine (Radiology, Psychiatry)
    Yu-Shin Ding, PhD; Ricardo Osorio, PhD
    TR&D 3
  • The use of machine learning in the field of medical imaging: November 2020
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Michael Recht, MD
    TR&D 1
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Concluded Collaborative Projects

  • Comprehensive quantitative ultrafast 3D liver MRI
    🇺🇸 Case Western Reserve University
    Vikas Gulani, MD, PhD; Nicole Seiberlich, PhD
    TR&D 1, TR&D 2
    oncologic imaging
  • Quantitative biomarker imaging using F-18 ML-10 /F-18FTL as therapy response assessment in glioblastoma multiforme
    🇺🇸 University of Pittsburg Medical Center
    James Mountz, MD, PhD
    TR&D 1, TR&D 2, TR&D 3
    oncologic imaging
  • Neuroimaging biomarkers of early Alzheimer’s disease
    🇺🇸 Medical University of South Carolina
    Joseph Helpern, PhD
    TR&D 1, TR&D 3
    neurologic imaging
  • Quantification of tumor malignancy with MRI
    🇺🇸 University of East Anglia
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    Fernando Boada, PhD; Glyn Johnson, PhD
    TR&D 2, TR&D 3
    neurologic and oncologic imaging
  • Development of optimal sodium-MRI methodology for the musculoskeletal field
    🇺🇸 New York University (Chemistry)
    Jae-Seoung Lee, PhD
    TR&D 1, TR&D 2
    musculoskeletal imaging
  • Dynamical DTI: A method for time-resolved in vivo diffusion tensor imaging
    🇺🇸 NYU Grossman School of Medicine
    Eric Sigmund, PhD
    TR&D 1, TR&D 2
    musculoskeletal imaging
  • Pattern classification using magnetic resonance imaging in traumatic brain injury
    🇺🇸 NYU Grossman School of Medicine (Radiology)
    🇺🇸 NYU Tandon School of Engineering
    Yvonne Lui, MD; Yao Wang, PhD
    TR&D 1
    neurologic imaging
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Contact

To inquire about establishing a Collaborative Project, write Kayse Lewis, Collaborative and Service Projects coordinator, at Kayse.Lewis@nyulangone.org.