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Diagnos Inc V.ADK

Alternate Symbol(s):  DGNOF

Technology Information Technology Services
Diagnos Inc. is a Canadian company, which is engaged in early detection of critical health problems based on its FLAIRE artificial intelligence (AI) platform. FLAIRE allows for quick modifying and developing of applications, such as computer assisted retina analysis (CARA). CARA’s image enhancement algorithms provide sharper, clearer and easier-to-analyze retinal images. CARA is a tool for real-time screening of large volumes of patients. It provides software-based services to assist health specialists in the detection of diabetic retinopathy and other eye-related pathologies. Its geographical areas include Canada, the United States of America, Mexico, and Chile. The Company’s subsidiaries include Diagnos Internacional SA de CV and Diagnos Healthcare (India) Private Limited.


TSXV:ADK - Post by User

Diagnos Inc
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Post by u2bobon Nov 27, 2017 1:40pm
192 Views
Post# 27039409

We Have Lost A Good Director ... But !

We Have Lost A Good Director ... But !...What we have gained is a Chief Medical officer everyone knows about ..
Dr. Hadi Chakor  ...and to help offset are loss of are director with Diabetic eye background... I think we have more than offset that... with are new guy that I have not heard of below : )

Behind the scenes is what is important ...hands on !!!

 Argyrios Christodoulidis

Argyrios Christodoulidis

Research And Development Scientist at DIAGNOS Inc.

Montreal, Canada Area
Computer Software
Current
  1. DIAGNOS Inc.
Previous
  1. cole Polytechnique de Montral, 
  2. University of Thessaly, 
  3. University College London
Education
  1. UCL
Websites
  1. Personal Website
251connections

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    Press release! ->>DIAGNOS Announces a Second Contract for...
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    For those interested in working in a great biomedical AI...
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    Awesome presentation of my teammate Suchakra Sharma on...
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    DIAGNOS Inc. Announces New Project with Cardiology...

Summary

Specialties: Bio/Medical image processing/analysis, computer vision, CADx/e

Experience

  • Research And Development Scientist

    DIAGNOS Inc.
     – Present (4 months)

    Medical Image Computing: Retinal Image Analysis
    C/C++, Python algorithmic development
    OpenCV, Bash, Tensorflow, Pandas, SciPy

  • Ph.D.

    cole Polytechnique de Montral
     –   (4 years 5 months)

    1) A novel algorithm was introduced and implemented for the segmentation of the smallest retinal vessels based on a perceptual organization approach (tensor voting)
    2) Implementation of the following retinal vessel segmentation algorithms: Centerline detection based on image derivatives, Matched filtering, Hessian based vessel enhancement, Dijkstra minimum-cost path
    3) Application of Gaussian model fitting methods to estimate the retinal vessel diameter
    4) A new method was introduced and developed for the isolation of vascular junctions from tensor voting
    5) A new category of features was introduced and implemented for the vessel characterization to healthy or proliferative based on second order spatial statistics
    6) Applied supervised (SVMs), and deep learning (CNNs) for the characterization problem
    7) Implemented a simulator for the artificial generation of retinal neovascularizations based on random walk
    8) Manual annotation of retinal vessels, and diabetic retinopathy lesions
    9) Attendance of the operation of ophthalmoscopes in the clinical setting
    10) Technical skills used: Matlab, LATEX, C/C++, Python, TensorFlow, Caffe
     

    • Research

      University of Thessaly
       –   (9 months)

      Implementation of a GUI for biomedical image segmentation using active surfaces,
      Research in human activity recognition for fall detection based on background modelling:
      1) Development of a toolkit with a graphical user interface for the trachea segmentation using deformable surfaces
      2) Application of the Gradient Vector Flow and the Vector Field Convolution as external forces for the deformable surfaces
      3) Implementation of a method for initializing the surfaces using adaptive cylinders
      4) A novel algorithm was introduced and developed for background modelling of video sequences based on a modified median filtering method
      5) Implementation of background modelling algorithms for video sequences: Gaussian mixture models, running averaging, and entropy based background modelling
      6) Implementation of feature extraction methods from human silhouettes with the aim of fall detection
      7) Acquisition of fall detection video sequences from an omnidirectional camera
      8) Technical skills used: Matlab, LATEX

    • Master student

      University College London
       –   (1 year 1 month)London, United Kingdom

    • Research

      Aristotelian University Thessaloniki
       –   (4 months)

      Artificial Intelligence & Information Analysis Laboratory:Testing and implementing algorithms in facial expression recognition
      1) Implementation of a spherical histogram algorithm for feature extraction from 3D face models
      2) Application of multi-class SVMs for classifying facial expressions
      3) Technical skills used: Matlab, LIBSVM

    • Voluntary work

      General Hospital of Thessaloniki, “Agios Dimitrios” and Regional Hospital of Lamia
       –   (2 months)

      Attendance of the operation of several devices and the organization of hospital departments at two sites.
      Thessaloniki:
      Imaging modalities: MRI, CT, US, X-rays, radiation therapy facilities 
      Unit of Intensive care: Respirators, cardiological monitors
      Microbiological laboratory: Biochemical analysts
      Surgery theater: Anaesthesiological devices and monitors of normal operations
      Ophthalmological department: Outpatient clinic, exams rooms, slit lamp, ophthalmoscopes 
      Lamia:
      Radiotomography, ECG, Spirometer, Myography, Mammogram operation
      Pharmacy organization and operation of Hospital Information System
      diagnostic/therapeutic applications of nuclear medicine

    Certifications

    Volunteer Experience & Causes

    • Reviewer

      Elsevier
      Science and Technology

      Computerized Medical Imaging and Graphics

    • Poster session jury member

      GRSTB Symposium (Biomedical Science and Technologies Research Centre)
      March 2016Science and Technology

      Biomedical Image Processing: from Fundamental Concepts to Clinical Practice

    • Reviewer

      Springer Publishing Company
      Science and Technology

      3D Research

    • Mentor

      McGill Physics Hackathon
      November 2017Science and Technology

    Causes Argyrios cares about:

    • Arts and Culture
    • Health
    • Science and Technology

    Publications

    • Proliferative Diabetic Retinopathy Characterization Based on the Spatial Organization of Vascular Junctions in Fundus Images

      IEEE International Symposium on Biomedical Imaging (selected for oral presentation)
      Authors:

    • A Multi-scale Tensor Voting Approach for Small Retinal Vessel Segmentation in High Resolution Fundus Images

      Computerized Medical Imaging and Graphics
      Authors:

    • Near real-time human silhouette and movement detection in indoor environments using fixed cameras

      International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) 2012
      Authors:

    • An Intelligent Tool for Anatomical Object Segmentation Using Deformable Surfaces

      Hellenic Conference on Artificial Intelligence (SETN) 2012
      Authors:

    • Particle Swarm Optimization Approach for the Segmentation of Retinal Vessels from Fundus Images

      International Conference on Image Analysis and Recognition 2017
      Authors:

    Honors & Awards

    • Scholarship

      Partnership between DIAGNOS INC. and NSERC/CRSNG
      January 2013

       

    Courses

    • University College London

      • Image processing, Foundations of scientific computing, Programming foundations for medical image analysis, Information processing in medical imaging, Image directed analysis and therapy
      • Foundations of anatomy
      • Medical imaging with ionising radiation, Medical imaging with non-ionising radiation, Physics for imaging and therapy

    • University of Thessaly

      • Biomedical image analysis, Signals and systems
      • Artificial intelligence, Medical decision support/information/equipment systems/technology, Biomedical engineering, Simulation of biological systems, Telemedicine
      • Analysis I/II, Physics, Linear algebra, Discrete mathematics, Numerical analysis, Probabilities and elementary statistics, Biostatistics
      • Biochemistry, Biology I/II, Anatomy and physiology I/II, Bioinformatics, Genetics
      • Procedural/Object-oriented programming, Computer architecture/networks/security, Operating systems, Data structures/bases, Software engineering, System analysis, Human-Computer interaction, Data mining, Theory of programming languages/computation
      • Logical design, Electronics, Analog/Digital telecommunications, Automatic control

    Skills

    • Algorithms
    • Image Processing
    • Matlab
    • Python
    • Tensorflow
    • Computer Vision
    • LaTeX
    • Programming
    • C++
    • Computer Science
    • Signal Processing
    • Research
    • C
    • Image Segmentation
    • Biomedical Engineering
    How's this translation?
    • Great
    • •
    • Has errors

    Education

    • UCL

      Msc., Medical Image Computing
       – 

      Thesis Title: "Tuberculosis: Learning from 3D CT to aid diagnosis from 2D X-rays"
      1) Design and development of pipelines for global affine registration of chest CT and X-rays from original as well as segmented lung images
      2) Implementation of CT and X-ray lung segmentation algorithms that combine: optimized/binary
      thresholding, region growing, morphology, and snakes
      3) Attendance of radiology meetings for tuberculosis diagnosis and management at the Royal Free Hospital of London

    • cole Polytechnique de Montral

      Doctor of Philosophy - PhD, Computer Engineering
       – 

      Thesis title: "Segmentation and Characterization of Small Retinal Vessel in Fundus Images Using the Tensor Voting Approach"

    • University of Thessaly

      Bsc., Computer Science and Biomedical Informatics
       – 

      Thesis Title: “Segmentation and width measurements in vessels from ophthalmological data"

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