IOANNIS (JOHN) D. APOSTOLOPOULOS
Postdoctoral Researcher
Foundation for Research and Technology Hellas - Institute of Chemical Engineering Sciences
University of Thessaly
PhD in Medical Physics, University of Patras, 2022
MSc in Biomedical Engineering, University of Patras, 2020
BSc in Electrical and Computer Technology Engineering, University of Patras, 2017
Publications: 33
Citations: 2244
BIO
I was born in Athens, Greece, in 1991.
I completed my B.Sc., M.Sc., and PhD studies at the University of Patras. I received my B.Sc. in 2017 and my M.Sc. in Biomedical Engineering in 2020 from the Department of Electrical and Computer Technology Engineering. I received my Doctorate from the Medical School in 2022.
I have co-authored 22 scientific papers published in peer-reviewed journals and 9 conference proceedings. My publications have 2200 citations (h-index=9).
I have been involved in 9 Research Projects at the Foundation for Research and Technology Hellas and the University of Thessaly.
My special interests include Artificial Intelligence, Deep Learning, and Data Analytics applied in the disciplines of Medical Imaging, Nuclear Medicine, and Air Quality Sensors.
INTERESTS
DEEP LEARNING FOR COVID-19 DIAGNOSIS
Diagnosis COVID-19 from X-Ray images using state-of-the-art approaches
DEEP LEARNING FOR ABNORMAL PARATHYROID GLAND DETECTION
Detecting and localizing abnormal Parathyroid Glands in images from SPECT
DEEP LEARNING IN LUNG CANCER DIAGNOSIS
Deep Learning applications for identifying malignant and benign lung nodules
DEEP LEARNING FOR CORONARY ARTERY DISEASE DIAGNOSIS
DL methods for diagnosing Coronary Artery Diseases from SPECT Polar Maps and DICOM slices
DEEP LEARNING IN MAGNETIC RESONANCE IMAGING
Attention-based CNNs for identifying brain disorders in MRI
AIR QUALITY MONITORING
IoT Air Quality Monitoring devices using low-cost sensors and Artificial Intelligence
EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI)
Implementation of various methods and tools for XAI in medicine
MACHINE LEARNING AND DATA ANALYTICS FOR SENSOR DATA
Implementation of various Python libraries (Tensorflow, Keras, Pandas, Scikit and more) for Data Analytics and Machine Learning in low-cost sensor data applications
ADVANCES IN FUZZY COGNITIVE MAPS
Implementing and developing advanced Fuzzy Cognitive Maps for various problem-solving tasks, including medical applications.
ADVANCED MACHINE LEARNING IN PRECISION AGRICULTURE
Vision Transformer networks for assessing food quality
APPLICATIONS OF DEEP LEARNING IN THE INDUSTRIAL SECTOR
Feature-fusion networks for industrial applications
CLIMATE CHANGE AND DEEP LEARNING
Explainable Deep Learning approaches for various environmental applications