Adam Adamopoulos

Professor

Democritus University of Thrace

Greece

Research Interests

Explore related searches

Professors in Artificial Intelligence

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Adam Adamopoulos is a faculty member at Democritus University of Thrace, Greece. His research focuses on machine learning applications in medical imaging and neuroinformatics, with recent work exploring topics such as scintigraphic imaging, epileptic classification, and cancer prognosis. He has contributed significantly to the development of algorithms for medical diagnostics and the analysis of neurological signals.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2021

Year:

2021

Collaborators (5)

Pipitsa Valsamaki

Assistant Professor

Democritus University of Thrace

GREECE

View details

Alexandros G. Georgakilas

GREECE

View details

George Anastassopoulos

Democritus University of Thrace

GREECE

View details

Constantinos Loukas

Associate Professor

National and Kapodistrian University of Athens

GREECE

View details

Lorenzo Manti

Associate professor

Università degli Studi di Napoli Federico II

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Adam Adamopoulos

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising

Comparative Evaluation and Optimization of Neural Networks for Epileptic Magnetoencephalogram Classification

Comparison of Machine Learning Algorithms and Hybrid Computational Intelligence Algorithms for Rehabilitation Classification and Prognosis in Reverse Total Shoulder Arthroplasty

EEG Signal Analysis for Numerical Digit Classification: Methodologies and Challenges

RadPhysBio: A Radiobiological Database for the Prediction of Cell Survival upon Exposure to Ionizing Radiation

Comparative Analysis of Conventional CNN v’s ImageNet Pretrained ResNet in Medical Image Classification

Hybrid Machine Learning Algorithms to Evaluate Prostate Cancer

Impact of Quarantine and Vaccination Policies on Viral Load

Analyzing the Effect of Weak External Transcranial Magnetic Stimulation on the Primary Dominant Frequencies of Alzheimer Patients Brain by Using MEG Recordings

Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks

Collaborators (5)

Pipitsa Valsamaki

Alexandros G. Georgakilas

George Anastassopoulos

Constantinos Loukas

Lorenzo Manti

Make your next move.