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Work with thought leaders and academic experts in Radiology, Nuclear Medicine and imaging

Companies can greatly benefit from collaborating with academic researchers in the field of Radiology, Nuclear Medicine, and imaging. These experts bring specialized knowledge and skills that can enhance research, innovation, and medical imaging capabilities. Here are some ways companies can collaborate with these experts: 1. Research Partnerships: Academic researchers can collaborate with companies on research projects, bringing their expertise in imaging techniques, data analysis, and interpretation. 2. Technology Development: Companies can work with academic researchers to develop new imaging technologies, such as advanced imaging modalities, image processing algorithms, and AI-based diagnostic tools. 3. Clinical Trials: Academic researchers can play a crucial role in conducting and analyzing clinical trials for new imaging agents, radiopharmaceuticals, and imaging protocols. 4. Education and Training: Companies can collaborate with academic researchers to provide education and training programs for healthcare professionals, focusing on the latest advancements in radiology, nuclear medicine, and imaging. 5. Consulting and Expertise: Academic researchers can provide consulting services and expert opinions on imaging-related projects, helping companies make informed decisions and solve complex problems.

Researchers on NotedSource with backgrounds in Radiology, Nuclear Medicine and imaging include Ramy Ayoub, Daniel Milej, Ph.D., Tim Osswald, Jeffrey Townsend, Adam Kimbler, Dmitry Batenkov, Ph.D., and Emmanuel Iarussi.

Ramy Ayoub

Toronto, Ontario, Canada
PhD Medical Biophysics
Research Expertise (11)
neuro-oncology
mouse imaging
cancer therapy
normal tissue toxicity
Radiology, Nuclear Medicine and imaging
And 6 more
About
Ramy Ayoub obtained his Ph.D. in Medical Biophysics from the University of Toronto in 2023, where he developed a strong foundation in the principles and applications in neuroscience, statistics, machine learning, imaging & radiation physics. During his time at the University of Toronto, Ramy has been involved in conducting cutting-edge research in the field, with a focus on developing new technologies and pharmacological interventions to improve healthcare outcomes. He is passionate about using his skills and expertise to make a positive impact in the medical field and is dedicated to advancing the field through his ongoing research and contributions.

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Daniel Milej, Ph.D.

London, Ontario, Canada
Ph.D. in biomedical engineering
Research Expertise (32)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 27 more
About
Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is currently a Research Associate at the Lawson Health Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously he was a postdoctoral fellow working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Electronics and Biomedical Engineering. He received his MSc from the Military University of Technology in 2008.

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Tim Osswald

Polymers Professor - University of Wisconsin
Research Expertise (45)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 40 more
About
T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.

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Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Research Expertise (53)
Evolutionary Genomics
Microbiology
Infectious Diseases
Genetics
Cell Biology
And 48 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.

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Adam Kimbler

Los Angeles, California, United States of America
Ph.D. in cognitive neuroscience with expertise in fMRI and dMRI, intersted in using MRI to find biomarkers of disease.
Research Expertise (16)
learning
memory
pattern separation
pattern completion
development
And 11 more
About
As a Postdoctoral Researcher at UC Irvine, I apply my PhD in Cognitive Neuroscience to investigate the neural mechanisms of learning and memory. I use advanced data management, analytics, techniques to process and analyze large-scale brain imaging data sets. I have over seven years of research experience, including as a Graduate Research Assistant at Florida International University, where I contributed to multiple publications and projects on cognitive and affective neuroscience. I am passionate about advancing the scientific understanding of the brain and its functions, and collaborating with other researchers and experts in the field. I am also committed to sharing my knowledge and skills with the next generation of neuroscience students and professionals.

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Dmitry Batenkov, Ph.D.

New York City, New York, United States of America
A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science.
Research Expertise (31)
Applied Harmonic Analysis
Sparse Representations
Numerical Analysis
Approximation Theory
Inverse Problems
And 26 more
About
I am passionate about solving big problems with scientific and computational tools. A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science. A highly-skilled software engineer and analyst/architect with 6+ years of experience as a technical lead in professional software development.

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Emmanuel Iarussi

ML | CG | CV
Research Expertise (14)
Computer Graphics
Generative AI
Computer Graphics and Computer-Aided Design
Surgery
Health Informatics
And 9 more
About
I'm a Computer Scientist at [CONICET](http://www.conicet.gov.ar/) and an Assistant Professor at [Universidad Torcuato Di Tella](https://www.utdt.edu/), Argentina. I'm a former postdoc from [IST Austria - Bernd Bickel's group](https://ist.ac.at/). I've got my Ph.D. at [GRAPHDECO](https://team.inria.fr/graphdeco/) group, [INRIA Sophia Antipolis](https://www.inria.fr/centre/sophia/), France. In 2012 I've graduated as a Systems Engineer from [UNICEN University](https://www.unicen.edu.ar/), Tandil, Argentina. My research interests focus on developing AI tools for 2D and 3D content manipulation.

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Example Radiology, Nuclear Medicine and imaging projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Radiology, Nuclear Medicine and imaging?

Development of Novel Imaging Agent

An academic researcher can collaborate with a pharmaceutical company to develop a novel imaging agent for early detection of cancer. The researcher can contribute their expertise in radiopharmaceutical chemistry and imaging techniques to design and synthesize the agent, and evaluate its efficacy in preclinical and clinical studies.

AI-based Diagnostic Tool

A technology company can collaborate with an academic researcher to develop an AI-based diagnostic tool for automated analysis of medical images. The researcher can provide their knowledge in machine learning, image processing, and pattern recognition to train the AI algorithm and validate its performance using a large dataset of medical images.

Optimization of Imaging Protocols

A medical imaging center can collaborate with an academic researcher to optimize imaging protocols for specific clinical conditions. The researcher can analyze the existing protocols, propose modifications based on evidence-based practices, and evaluate the impact on image quality, diagnostic accuracy, and patient radiation dose.

Radiation Safety and Dose Reduction

A radiation technology company can collaborate with an academic researcher to improve radiation safety and dose reduction strategies in medical imaging. The researcher can conduct studies to optimize imaging parameters, develop dose monitoring tools, and provide recommendations for minimizing radiation exposure to patients and healthcare professionals.

Image Analysis Software Development

A software company can collaborate with an academic researcher to develop advanced image analysis software for quantitative assessment of disease progression. The researcher can contribute their expertise in image segmentation, feature extraction, and statistical analysis to design algorithms that can accurately measure and analyze disease-related changes in medical images.