Dr. Ziv R. Yaniv
Senior Imaging Scientist at National Institute of Allergy and Infectious Diseases
SPIE Involvement:
Conference Program Committee | Author | Editor | Instructor
Websites:
Publications (21)

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12926, 1292614 (2024) https://doi.org/10.1117/12.3006909
KEYWORDS: Machine learning, Image segmentation, Image classification, Mathematical optimization

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12931, 129310X (2024) https://doi.org/10.1117/12.3006848
KEYWORDS: Lung, Chest imaging, Image retrieval, Data modeling, Network architectures, Deep learning, Performance modeling, Medicine

Proceedings Article | 7 April 2023 Presentation + Paper
Proceedings Volume 12465, 124650R (2023) https://doi.org/10.1117/12.2653826
KEYWORDS: Education and training, Deep learning, Chest imaging, Artificial intelligence, Diseases and disorders, Image segmentation, Data modeling, COVID 19, Machine learning, Lung

Proceedings Article | 12 March 2018 Presentation + Paper
Proceedings Volume 10576, 1057607 (2018) https://doi.org/10.1117/12.2294936
KEYWORDS: Image segmentation, Magnetic resonance imaging, 3D modeling, Cardiovascular magnetic resonance imaging, Image registration, Image processing algorithms and systems, Medical imaging

Proceedings Article | 24 March 2016 Paper
Proceedings Volume 9786, 97861W (2016) https://doi.org/10.1117/12.2217515
KEYWORDS: Image registration, Cameras, Algorithm development, New and emerging technologies, Medical devices, Rigid registration, Skull, Light sources and illumination, Data acquisition, Magnetic resonance imaging, Visualization

Showing 5 of 21 publications
Proceedings Volume Editor (4)

Conference Committee Involvement (18)
Image-Guided Procedures, Robotic Interventions, and Modeling
17 February 2025 | San Diego, California, United States
Image-Guided Procedures, Robotic Interventions, and Modeling
19 February 2024 | San Diego, California, United States
Image-Guided Procedures, Robotic Interventions, and Modeling
20 February 2023 | San Diego, California, United States
Image-Guided Procedures, Robotic Interventions, and Modeling
22 February 2022 | San Diego, California, United States
Image-Guided Procedures, Robotic Interventions, and Modeling
15 February 2021 | Online Only, California, United States
Showing 5 of 18 Conference Committees
Course Instructor
SC1236: SimpleITK Jupyter Notebooks: Biomedical Image Analysis in Python
SimpleITK is a simplified programming interface to the algorithms and data structures of the Insight Segmentation and Registration Toolkit (ITK). It supports bindings for multiple programming languages including C++, Python, R, Java, C#, Lua, Ruby and TCL. Combining SimpleITK’s Python binding with the Jupyter notebook web application creates an environment which facilitates collaborative development of biomedical image analysis workflows. In this course, we will use a hands-on approach utilizing Python based SimpleITK Jupyter notebooks to explore and experiment with various toolkit features. Participants will follow along using their personal laptops, enabling them to explore the effects of changes and settings not covered by the instructor. We start by introducing the toolkit’s two basic data elements, Images and Transformations. We then combine the two, illustrating how to perform image resampling. Having mastered the concept of resampling, we show how to use SimpleITK as a tool for image preparation and data augmentation for deep learning via spatial and intensity transformations. We then turn our focus to the toolkit’s registration framework, exploring various components including: optimizer selection, the use of linear and deformable transformations, the embedded multi-resolution framework, self-calibrating optimizers and the use of callbacks for registration progress monitoring. Finally, we illustrate the use of a variety of SimpleITK filters to implement an image analysis workflow that includes segmentation and shape analysis.
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