Reza Amini Gougeh

Reza Amini Gougeh
Institut National de la Recherche Scientifique | INRS · Energy, Materials and Telecommunications Research Centre

Bachelor of Science

About

8
Publications
1,157
Reads
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4
Citations
Citations since 2016
8 Research Items
4 Citations
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Introduction
I'm interested in clinical applications of xR, however, first step of such system should be devising measures to quantify user experience correctly. Regarding my background in physiological computing, I'm leveraging that knowledge to optimize methods of quality-of-experience evaluation in xR.
Additional affiliations
June 2021 - November 2022
Lady Davis Institute for Medical Research
Position
  • Research Assistant
Description
  • Member of DREAM BIG research to bring ML and AI into Mental health prediction
May 2021 - present
Institut National de la Recherche Scientifique
Position
  • Research Assistant
Description
  • RA at MuSAE Lab.
September 2019 - September 2020
Tabriz University of Medical Sciences
Position
  • Research Assistant
Education
May 2021 - May 2023
Institut National de la Recherche Scientifique
Field of study
  • Telecommunication
September 2016 - September 2020
University of Tabriz
Field of study
  • Biomedical Engineerinng

Publications

Publications (8)
Chapter
Each year, vehicle safety is increasing. Recently brain signals were used to assist drivers. Attempting to do movement produces electrical signals in specific regions of the brain. We developed a system based on motor intention to assist drivers and prevent car accidents. The main objective of this work is improving reaction time to external hazard...
Chapter
Full-text available
One of the most common image artifacts is blurring. Blind methods have been developed to restore a clear image from blurred input. In this paper, we introduce a new method which optimizes previous works and adapted with medical images. Optimized non-linear anisotropic diffusion was used to reduce noise by choosing constants correctly. After de-nois...
Article
Full-text available
Virtual reality (VR)-mediated rehabilitation is emerging as a useful tool for stroke survivors to recover motor function. Recent studies are showing that VR coupled with physiological computing (i.e., real-time measurement and analysis of different behavioral and psychophysiological signals) and feedback can lead to 1) more engaged and motivated pa...
Conference Paper
Virtual reality applications are on the rise and touching numerous domains, including healthcare, training, and gaming, to name a few. Existing experiences, however, are not fully immersive, as only two senses (audio-visual) are stimulated. To overcome this limitation, olfactory and haptic devices are emerging, thus making multisensory immersive ex...
Poster
The development of mental health disorders is a complex process that includes biological (e.g., genetic) and environmental influences interacting over the lifespan. Although there is a strong main effect of genetics on psychopathology, nor genes nor the environment alone can development of psychopathology [1]. Differential susceptibility is a gene-...
Preprint
Full-text available
Considering the global crisis of Coronavirus infection (COVID-19), the essence of utilizing novel approaches to achieve quick and accurate diagnosing methods is required. Deep Neural Networks (DNN) showed outstanding capabilities in classifying various data types, including medical images, in order to build a practical automatic diagnosing system....
Preprint
Full-text available
An outbreak of SARS-CoV-2 shocked healthcare systems around the world. It began in December 2019 in Wuhan, China, and spread out in over 120 countries in less than three months. Imaging technologies helped in COVID-19 fast and reliable diagnosis. CT-Scan and X-ray imaging are popular methods. This study is focused on X-ray imaging, concerning limit...

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