Dr. Fred S. Azar
Principal at IBM Watson Health
SPIE Involvement:
Conference Chair | Editor | Author | Instructor
Area of Expertise:
New Product Development , Business Develop , Strategic Marketing and Partnerships , Artificial Intelligence , Medical Imaging , Medical Devices
Profile Summary

Fred S. Azar, PhD, MBA has 15 years of industry experience in healthcare innovation, strategic partnership management, business and new product development, with artificial intelligence, cloud-based digital health technologies, clinical data intelligence, multimodality imaging, surgery navigation.

Fred worked for multinational corporations such as GE, Siemens, BD & most recently Philips where he was leading healthcare strategic alliances. Fred Azar is currently the Principal in Offering Management at IBM Watson Health, responsible for identifying & commercializing novel, AI-based digital health solutions, including FDA-approved multimodality imaging-focused applications.

Fred has 11 granted patents, and co-authored 45+ publications & a book on translational multimodality medical imaging. Fred Azar has a PhD in BioEngineering from the U. of Pennsylvania, and an MBA from the Wharton School of Business.
Publications (8)

Proceedings Article | 20 February 2009 Paper
Proc. SPIE. 7171, Multimodal Biomedical Imaging IV
KEYWORDS: Optical imaging, Human-machine interfaces, Visualization, Computer programming, Medical imaging, Software development, C++, Prototyping, Standards development, Image quality standards

SPIE Journal Paper | 1 September 2007
JBO Vol. 12 Issue 05
KEYWORDS: Magnetic resonance imaging, Image registration, Breast, Tumors, Image segmentation, Imaging systems, Visualization, 3D modeling, Tissues, 3D image processing

Proceedings Article | 27 March 2007 Paper
Proc. SPIE. 6434, Optical Tomography and Spectroscopy of Tissue VII
KEYWORDS: Breast, Breast cancer, Tumors, Visualization, Imaging systems, Magnetic resonance imaging, Image segmentation, Image registration, Standards development, Diffuse optical tomography

Proceedings Article | 21 March 2007 Paper
Proc. SPIE. 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures
KEYWORDS: Optical imaging, Breast, Tumors, Tissues, Imaging systems, Sensors, Imaging devices, Magnetic sensors, Tissue optics, Magnetic tracking

Proceedings Article | 13 February 2006 Paper
Proc. SPIE. 6081, Multimodal Biomedical Imaging
KEYWORDS: Breast, Breast cancer, Tumors, Visualization, Magnetic resonance imaging, Image segmentation, Image registration, Reconstruction algorithms, 3D image processing, Diffuse optical tomography

Showing 5 of 8 publications
Proceedings Volume Editor (15)

SPIE Conference Volume | 6 March 2020

SPIE Conference Volume | 12 April 2019

SPIE Conference Volume | 13 June 2018

SPIE Conference Volume | 24 April 2017

SPIE Conference Volume | 18 May 2016

Showing 5 of 15 publications
Conference Committee Involvement (18)
Multimodal Biomedical Imaging XVI
6 March 2021 | San Francisco, California, United States
Multimodal Biomedical Imaging XV
1 February 2020 | San Francisco, California, United States
Multimodal Biomedical Imaging XIV
2 February 2019 | San Francisco, California, United States
Multimodal Biomedical Imaging XIII
27 January 2018 | San Francisco, California, United States
Multimodal Biomedical Imaging XII
28 January 2017 | San Francisco, California, United States
Showing 5 of 18 Conference Committees
Course Instructor
WS937: A Novel Standardized Open-Source eXtensible Imaging Platform (XIP) for the Rapid Development of Advanced Applications
The National Institutes of Health (NIH) has recently developed XIP (eXtensible Imaging Platform), a new open-source software platform for the development of medical imaging applications. XIP can be used to rapidly develop imaging applications designed to meet the needs of the optical imaging community. XIP is a state-of-the-art set of visual 'drag and drop' programming tools and associated libraries for the rapid development of imaging and visualization applications. The tools include modules tailored for medical imaging, many of which are hardware accelerated (OpenGL). They also provide a friendlier environment for utilizing popular toolkits such as ITK and VTK, and enable the visualization and processing of any type of optical imaging data and of standard DICOM data. XIP can become a powerful tool to the optical imaging community, as it has built-in functionality for multidimensional data visualization and processing, and enables the development of independently optimized and re-usable software modules, which can be seamlessly added and interconnected to build advanced applications. These applications can range from multimodal imaging integrating structural, molecular and functional information, 2D, 3D, 4D, tomographic, multispectral and/or microscopic imaging, imaging analysis and/or image processing techniques applied to optical imaging (e.g. visualization, segmentation, registration), computational methods and reconstruction techniques, and visual rendering of complex datasets. XIP applications can run "stand alone", including in client/server mode for remote access. XIP also supports the DICOM WG23 "Application Hosting" standard, which will enable plug-in XIP applications to run on any DICOM compliant PACS workstation. Such interoperability will enable the optical imaging community to develop modular applications optimized for their specific imaging needs and widely deploy them across all academic/clinical/industry partners with standard-compliant imaging workstations.
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