Papadopoulos Angelos-Michael – Information Technologies Institute

People

Mr. Angelos-Michael Papadopoulos

Research Assistant

Diploma Electrical and Computer Engineering, Democritus University of Thrace, Greece

Angelos - Michael Papadopoulos graduated from the department of Electrical and Computer Engineering, Democritus University of Thrace, Greece in 2021. He was a Practicum Student at Visual Computing Lab at CERTH at Information Technologies Institute (VCL/ITI). His research interests include Machine Learning, Deep Learning and Computer Vision. Since April 2021 he works at Information Technologies Institute (I.T.I) of the Centre for Research and Technology Hellas (CE.R.T.H.) as a research assistant.

Recent Publications

Show all (4)

A. M. Papadopoulos, A. Iatrou, A. Axenopoulos, P. Ghia, K. Stamatopoulos, F. Alvarez, P. Daras, "DeepSurf2-FF: Introducing Force Fields in Deep Learning for Improving in-Silico Prediction of Bcr-Antigen Interactions in B Cell Lymphomas.",66th ASH Annual Meeting and Exposition, December 7-10, 2024, in San Diego, California.
A. M. Papadopoulos, P. Melissas, A. Kastellos, P. Katranitsiotis, P. Zaparas, K. Stavridis, P. Daras, "TenebrioVision: A Fully Annotated Dataset of Tenebrio Molitor Larvae Worms in a Controlled Environment for Accurate Small Object Detection and Segmentation.",ICPRAM. 2024
A. M. Papadopoulos, A. Iatrou, A. Axenopoulos, A. Agathangelidis, K. Stamatopoulos, P. Daras, "DeepSurf2.0: A Deep Learning Approach for Predicting Interactions of B Cell Receptors With Antigens.", Blood, 203, San Diego, California, 9-12 December 2023, (accepted).
A. M. Papadopoulos, A. Iatrou, A. Axenopoulos, A. Agathangelidis, K. Stamatopoulos , P. Daras, "DeepSurf2. 0: A Deep Learning Approach for Predicting Interactions of B Cell Receptors with Antigens.", Blood 142 (2023): 3930.

Contact

Mr. Angelos-Michael Papadopoulos

Information Technologies Institute
Centre of Research & Technology - Hellas
Email: angepapa@iti.gr
Url: https://www.linkedin.com/in/aggelos-michael-papadopoulos/