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

  • Thomas Edwards: Speaking at the Medical Imaging Convention

    Thomas Edwards
    The Christie NHS Foundation Trust Proton Beam Therapy Centre

    Imaging for Proton Therapy planning at The Christie Proton Centre

  • Syeda Khan: Speaking at the Medical Imaging Convention

    Syeda Khan
    City, Sandwell and Walsall Breast Screening Service

    PROSPECT Trial

  • Dr Qaiser Malik: Speaking at the Medical Imaging Convention

    Dr Qaiser Malik
    MSE Radiology

    Radiology Improvement and Transformation

  • Professor Xujiong Ye: Speaking at the Medical Imaging Convention

    Professor Xujiong Ye
    University of Lincoln

    Medical Image Analysis using Artificial Intelligence

  • Ernesto A. Cerdena: Speaking at the Medical Imaging Convention

    Ernesto A. Cerdena
    AtlantiCare Regional Medical Center (a member of Geisinger), Atlantic City, New Jersey, USA

    UPDATE on Lessons Learned in Adopting Clinical Decision Support Mechanism In Diagnostic Imaging