Piotr Giedziun & Michał Krasoń

CancerCenter.AI

Piotr Giedziun (CancerCenter.AI Co-founder, R&D) is a passionate software engineer with specialization in deep learning (DL), algorithmics, highly-scalable architectures and advanced mobile technologies. Piotr is an astute proponent of maximizing optimization in software developing processes. His focused specialization is in MRI diagnostics and skin lesion analysis. He is a practitioner of machine learning (ML) algorithms and beautifully clean code design.

Michał Krasoń is a data scientist with background in mathematics. He works in R&D department of CancerCenter.AI where he focuses on applications of deep learning to medical image analysis. His main interest is in computer vision and novel machine learning methods.

dont miss

Deep learning in oncology diagnostics

Medical diagnosis is a complex and time-consuming process. Facilitating it could bring us a number of benefits, e.g. increase the chances of early detection of cancer. During the seminar we will see how current state-of-the-art computer vision algorithms can be used to achieve this goal.

EVEN MORE SEMINARS

  • Dr Anna Barnes: Speaking at the Medical Imaging Convention

    Dr Anna Barnes
    University College Hospital

    Imaging biomarkers to investigate neuropathology

  • Marianthi-Vasiliki Papoutsaki: Speaking at the Medical Imaging Convention

    Marianthi-Vasiliki Papoutsaki
    Centre for Medical Imaging, University College of London

    Harmonisation of prostate multiparametric MRI protocols across different sites

  • Dr Heather E. L. Rose: Speaking at the Medical Imaging Convention

    Dr Heather E. L. Rose
    The University of Birmingham

    MR imaging and Spectroscopy of Paediatric Brain Disease

  • Prof Keith Muir: Speaking at the Medical Imaging Convention

    Prof Keith Muir
    University of Glasgow

    Imaging techniques to aid treatment decisions in acute ischaemic stroke.

  • Dr Ai Lyn Tan: Speaking at the Medical Imaging Convention

    Dr Ai Lyn Tan
    NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital, and University of Leeds

    How imaging has enhanced knowledge about rheumatic diseases