Coded Hemodynamic Imaging – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP

Robert Amelard

vipadmin — Fri, 28 Apr 2023 16:37:22 +0000

I completed my Ph.D. with professors Alex Wong and David Clausi. Please see my new website for updated activities:

Supervisors

Research interests

My research passions lie broadly in the realm of computer vision with a HCI/human factors twist. I am focusing my PhD thesis work on extracting hemodynamic information from videos. For my Master’s, I designed intuitive image features to help doctors make more accurate diagnoses of melanoma. Apart from medical image processing, I have also dappled with remote sensing (hyper- & multi-spectral) and photogrammetry (3D stereo vision). Wherever I find myself, I aim to devote my skills to create socially responsible technology to help make people’s lives more meaningful.

Research topics

Biomedical Imaging
Computer Vision
Image Segmentation/Classification
Remote Sensing

Research demos

Coded Hemodynamic Imaging
Skin Cancer Detection
Stereo Vision for Dimension Estimation

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Robert Amelard

vipadmin — Fri, 28 Apr 2023 16:34:42 +0000

I completed my M.A.Sc. with professors Alex Wong and David Clausi. Please see my new website for updated activities:

Website: http://www.robertamelard.com/

Supervisors

Alexander Wong, David Clausi

Research interests

Research topics

Biomedical Imaging
Computer Vision
Image Segmentation/Classification
Remote Sensing

Research demos

Coded Hemodynamic Imaging
Skin Cancer Detection
Stereo Vision for Dimension Estimation

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Christian Scharfenberger

Christian Scharfenberger — Thu, 23 Mar 2023 16:18:05 +0000

I was a post-doctoral fellow in the Vision and Image Processing Lab from 10/2011-12/2014. I collaborated with the professors David Clausi, Alexander Wong, John Zelek, and Steven Waslander in the areas of image processing, computer vision, and robotics. Please find a selection of research projects I am/was involved with listed below.

Email: cscharfenberger@uwaterloo.ca

Supervisors

Alexander Wong, David Clausi

Research interests

My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on saliency computation, camera calibration and stereo vision. I am particularly interested in practical applications of computer vision and image processing methods to problems in robotics and driver assistance systems.

Research topics

Biomedical Imaging
Computer Vision
Image Segmentation/Classification
Video Analysis

Research demos

Coded Hemodynamic Imaging
Computer Vision for Autonomous Robots
Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals
Hybrid Structural and Texture Distinctiveness Vector Field Convolution for Region Segmentation
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images
Stereo Vision for Dimension Estimation

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Coded Hemodynamic Imaging

vipadmin — Mon, 20 Mar 2023 19:49:24 +0000

We introduce the concept of Coded Hemodynamic Imaging (CHI), where an innovative, highly-compact pulsed lighting and detection apparatus captures light fluctuations over time and space on various parts of the body simultaneously using spatiotemporal-coded pulse sequences. These spatiotemporal light fluctuation measurements are then relayed to a digital signal processing unit from which blood-flow patterns can be computed. CHI enables touchless monitoring of vital signs that could lead to improved detection and prevention of some cardiovascular issues, as well as greater independence for older adults.

CHI is the first portable system that monitors a patient’s blood flow at multiple arterial points simultaneously and without direct contact with the skin. Traditional systems in wide use now take one blood pulse reading at one spot on the body. On the other hand, CHI acts like many virtual sensors that measure blood flow behaviour on various parts of the body. This is analogous to being able to measure the traffic flow across an entire city (CHI) rather than just through one intersection (traditional systems).

CHI ideal for assessing patients with painful burns, highly contagious diseases, or infants in neonatal intensive care whose tiny fingers make traditional monitoring difficult. Continuous data collection at different parts of the body provides a more complete picture of what’s happening in the body. Whole-body imaging opens doors for advanced monitoring that can’t be done with the traditional, single-point methods.

The CHI technology received widespread international media coverage, including TV appearances:

Related people

Directors

Students

Alumni

Related research areas

Biomedical Imaging

Related publications

Journal Articles

Conference Papers

Alexander Wong

Alexander Wong — Thu, 23 Feb 2023 21:38:59 +0000

Alexander Wong is currently the Canada Research Chair in Medical Imaging Systems and an assistant professor in the Department of Systems Design Engineering at the University of Waterloo. He had previously received his B.A.Sc. degree in Computer Engineering from the University of Waterloo, Waterloo, ON, Canada in 2005, his M.A.Sc. degree in Electrical and Computer Engineering from the University of Waterloo, Waterloo, ON, Canada in 2007, and his Ph.D. degree Systems Design Engineering from the University of Waterloo, ON, Canada in 2010. He was also a NSERC postdoctoral research fellow at Sunnybrook Health Sciences Centre. He has published over 450 refereed journal and conference papers, as well as patents, in various fields such as computational imaging, artificial intelligence, computer vision, and multimedia systems. He has received numerous awards including three Outstanding Performance Awards, a Distinguished Performance Award, an Engineering Research Excellence Award, a Sandford Fleming Teaching Excellence Award, an Early Researcher Award from the Ministry of Economic Development and Innovation, a Best Paper Award at the NIPS Workshop on NIPS Workshop on Transparent and Interpretable Machine Learning (2017), a Best Paper Award at the NIPS Workshop on Efficient Methods for Deep Neural Networks (2016), two Best Paper Awards by the Canadian Image Processing and Pattern Recognition Society (CIPPRS) (2009 and 2014), a Distinguished Paper Award by the Society of Information Display (2015), two Best Paper Awards for the Conference of Computer Vision and Imaging Systems (CVIS) (2015,2017), Synaptive Best Medical Imaging Paper Award (2016), two Magna Cum Laude Awards and one Cum Laude Award from the Annual Meeting of the Imaging Network of Ontario, CIX TOP 20 (2017), AquaHacking Challenge First Prize (2017), Best Student Paper at Ottawa Hockey Analytics Conference (2017), and the Alumni Gold Medal.

Students

Supervision – Current

PDF

ph.D.

M.A.Sc.

Supervision – Completed

PDF

ph.D.

M.A.Sc.

Research topics

Biomedical Imaging
Computer Vision
Discovery Radiomics
Evolutionary Deep Intelligence
Image Segmentation/Classification
Multiresolution Techniques
Remote Sensing
Scientific Imaging
Stochastic Models
Video Analysis

Research demos

Action Recognition in Video
Bias Field Correction in Endorectal Diffusion Imaging
Coded Hemodynamic Imaging
Correlated Diffusion Imaging
Disparate Scene Registration
Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals
Enhanced Low-dose Computed Tomography
Grid Seams: A fast superpixel algorithm for real-time applications
Hybrid Structural and Texture Distinctiveness Vector Field Convolution for Region Segmentation
Image Denoising
Multiplexed Optical High-coherence Interferometry
SAR Sea Ice Image Synthesis
Skin Cancer Detection
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images
Stereo Vision for Dimension Estimation

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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David Clausi

David A Clausi — Mon, 13 Feb 2023 20:18:05 +0000

I completed my Ph.D. in Systems Design Engineering in 1996 and immediately afterwards, I worked in software medical imaging field at Agfa (nee Mitra) in Waterloo, Ontario. I started my academic career in 1997 as an Assistant Professor in Geomatics Engineering at the University of Calgary, Canada. In 1999, I returned to my alma mater and I am now a Professor specializing in the fields of Intelligent and Environmental Systems. In addition, I was the Associate Chair – Graduate Studies (2009-2012). I was the Co-chair of IAPR Technical Committee 7 – Remote Sensing during 2004-2006. I have numerous recognitions, including received five Outstanding Performance Awards, three Distinguished Performance Awards, the Sanford Fleming Teaching Excellence Award, and a University of Calgary Teaching Excellence Award. In 2010, I received the award for “Research Excellence and Service to the Research Community” by the Canadian Image Processing and Pattern Recognition Society (CIPPRS). In 2012, I received the Engineering Research Excellence Award.

Currently, I am the Associate Dean – Research & External Partnerships within the Faculty of Engineering, responsible for all research related activities in the largest Engineering school in Canada.

Research interests

My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on the automated interpretation of SAR (synthetic aperture radar) and sports analytics (ice hockey). I am an active interdisciplinary and multidisciplinary researcher, publishing refereed journal and conference papers in the diverse fields of remote sensing, sports analytics, computer vision, algorithm design, and biomechanics. My research efforts have led to successful commercial implementations including creating and selling a startup company (CREZ).