FIELDS OF STUDY AND IMPLEMENTATION

APPLICATIONS OF DEEP LEARNING AND MACHINE LEARNING IN MEDICAL IMAGING

EXPLAINABLE ARTIFICIAL INTELLIGENCE

AIR QUALITY MONITORING DEVICES

AIR QUALITY MONITORING LOW-COST SENSOR CALIBRATION USING ARTIFICIAL INTELLIGENCE

APPLICATIONS OF DEEP LEARNING IN INDUSTRY

DEEP LEARNING FOR ENVIRONMENTAL MONITORING APPLICATIONS

DEEP LEARNING IN PRECISION AGRICULTURE

IMAGING MODALITIES

Specialized in the following

COMPUTED TOMOGRAPHY

CT uses X-rays to create detailed cross-sectional images of the body, which can help diagnose various medical conditions such as fractures, tumors, and infections.

POSITRON EMISSION TOMOGRAPHY

PET involves injecting a small amount of radioactive material into the body, which emits positrons that can be detected by a special camera. This technique can be used to identify abnormal metabolic activity in organs and tissues, which can help diagnose cancer, heart disease, and other conditions.

SINGLE-PHOTON EMISSION COMPUTED TOMOGRAPHY

SPECT uses a similar principle to PET, but uses a different type of radioactive material that emits gamma rays. SPECT is often used to study blood flow and brain activity.

MAGNETIC RESONANCE IMAGING

MRI (Magnetic Resonance Imaging) uses strong magnetic fields and radio waves to produce detailed images of the body. Unlike CT and PET, which use ionizing radiation, MRI is non-invasive and does not involve exposure to ionizing radiation. MRI is often used to visualize soft tissues and organs, such as the brain, spine, and joints.

ARTIFICIAL INTELLIGENCE METHODS

MACHINE LEARNING AND DEEP LEARNING METHODS

MACHINE LEARNING MODELS

Decision Trees, Logistic Regression, Neural Networks, Support Vector Machines, Ensemble methods

FUNDAMENTAL DEEP LEARNING MODELS

Convolutional Neural Networks, Recurrent Neural Networks, LSTMs

ADVANCED DEEP LEARNING

Generative Adversarial Networks, Attention Modules, Transformers

IOANNIS (JOHN) D. APOSTOLOPOULOS