Paschalis Bizopoulos (in Greek: Πασχάλης Μπιζόπουλος) is a Computer Engineer with experience in designing, developing, deploying, and maintaining nixified/containerized and web-based AI applications using portable tools, adhering to well-established standards, and applying best practices in DevOps and MLOps. He invented Sparsely activated networks, which can be used for signal decomposition, compression and motif finding.
(2011-2012) MSc Wireless Communication Systems, Brunel University, Awarded with distinction, Thesis (completed at ESIEE, Paris, France): EEGArtimat, An EEG Artifact Detector and Removal tool
(2013-2015) DSP on Biomedical Signals, Undergraduate laboratory course, National Technical University of Athens
(2013-2015) Principles of Biomedical Imaging, Undergraduate laboratory course, National Technical University of Athens
Languages
English, Proficiency, University of Michigan (ECPE)
Greek, Native speaker
Select publication
Paschalis Bizopoulos, and Dimitrios Koutsouris. "Sparsely activated networks." IEEE transactions on neural networks and learning systems 32.3 (2020): 1304-1313. [abstract][pdf][code][web application]
Other publications
Kondylakis, Haridimos, Varvara Kalokyri, Stelios Sfakianakis, Kostas Marias, Manolis Tsiknakis, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Ignacio Blanquer, J. Damian Segrelles, Sergio López-Huguet, Caroline Barelle, Magdalena Kogut-Czarkowska, Gianna Tsakou, Nikolaos Siopis, Zisis Sakellariou, Paschalis Bizopoulos et al. "Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects." European Radiology Experimental 7, no. 1 (2023): 20. [pdf][web]
Lazic, Ivan, Ferran Agullo, Susanna Ausso, Bruno Alves, Caroline Barelle, Josep Ll Berral, Paschalis Bizopoulos et al. "The holistic perspective of the INCISIVE project—artificial intelligence in screening mammography." Applied Sciences 12, no. 17 (2022): 8755. [pdf][web]
Paschalis Bizopoulos, Nicholas Vretos, Petros Daras. Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans. arXiv preprint arXiv:2009.06412. [abstract][pdf][code][web application]
Paschalis Bizopoulos. A Makefile for Developing Containerized LaTeX Technical Documents. arXiv preprint arXiv:2005.12660. [abstract][pdf]
Paschalis Bizopoulos, George I. Lambrou, Dimitris Koutsouris. Signal2Image Modules in Deep Neural Networks for EEG Classification. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 702--705, 2019, IEEE [abstract][pdf][code][web application]
George I. Lambrou, Michail Sarafidis, Paschalis Bizopoulos, Dimitra Iliopoulou, Anna Paidi, and Dimitrios D. Koutsouris. "The" Prisoner’s Dilemma" in the Tumor Biology Context: The Warburg Effect, Proliferation Dynamics and Equilibria." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1342-1345. IEEE, 2019.
George I. Lambrou, Penelope Ioannidou, Paschalis Bizopoulos, Petros Toumpaniaris, Stavros Kepentzis, and Dimitrios D. Koutsouris. "Simulation of a Cellular Automaton with Markov Chains: Applications in Self-Organized Dynamical Systems." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 248-251. IEEE, 2019.
Paschalis Bizopoulos, Dimitris D.G Koutsouris. Deep Learning in Cardiology. IEEE Reviews in Biomedical Engineering, 12:168--193, 2019. [abstract][pdf]
Antonis I Sakellarios, Paschalis Bizopoulos, Michail I Papafaklis, Lambros Athanasiou, Themis Exarchos, Christos V Bourantas, Katerina K Naka, Andrew J Patterson, Victoria EL Young, Jonathan H Gillard, et al. Natural history of carotid atherosclerosis in relation to the hemodynamic environment: a low-density lipoprotein transport modeling study with serial magnetic resonance imaging in humans. Angiology, 68(2):109--118, 2017.
Christos V Bourantas, Stella-Lida Papadopoulou, Patrick W Serruys, Antonis Sakellarios, Pieter H Kitslaar, Paschalis Bizopoulos, Chrysafios Girasis, Yao-Jun Zhang, Ton de Vries, Eric Boersma, et al. Noninvasive prediction of atherosclerotic progression: The prospect-msct study. JACC. Cardiovascular imaging, 9(8):1009, 2016.
Paschalis A Bizopoulos, Manolis Vavuranakis, Theodoros G Papaioannou, Dimitrios A Vrachatis, Antonis I Sakellarios, Dimitra Iliopoulou, Dimitris Tousoulis, Dimitrios D Koutsouris, and Dimitrios I Fotiadis. A preliminary study on in-vivo 3-d imaging of bioprosthetic aortic valve deformation. In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, pages 332--336. Springer, Cham, 2016. [abstract]
Paschalis A Bizopoulos, Antonis Sakellarios, Lampros K Michalis, Dimitrios D Koutsouris, and Dimitrios I Fotiadis. 3-d registration on carotid artery imaging data: Mri for different timesteps. In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pages 1159--1162. IEEE, 2016. [abstract][pdf]
Paschalis A Bizopoulos, Antonis I Sakellarios, Dimitrios D Koutsouris, Jannis Kountouras, Lazaros Kostretzis, Stella Karagergou, Lampros K Michalis, and Dimitrios I Fotiadis. Prediction of atheromatic plaque evolution in carotids using features extracted from the arterial geometry. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pages 6556--6559. IEEE, 2015. [abstract]
Antonis I Sakellarios, Paschalis Bizopoulos, Kostas Stefanou, Lambros S Athanasiou, Michail I Papafaklis, Christos V Bourantas, Katerina K Naka, Lampros K Michalis, and Dimitrios I Fotiadis. A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pages 6552--6555. IEEE, 2015. [abstract]
Paschalis A Bizopoulos, Antonis I Sakellarios, Dimitrios D Koutsouris, Dimitra Iliopoulou, Lampros K Michalis, and Dimitrios I Fotiadis. Randomly generated realistic vessel geometry using spline interpolation and 2d perlin noise. In Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on, pages 157--160. IEEE, 2014. [abstract]
Christos V Bourantas, Michail I Papafaklis, Lampros Lakkas, Antonis Sakellarios, Yoshinobu Onuma, Yao-Jun Zhang, Takashi Muramatsu, Roberto Diletti, Paschalis Bizopoulos, Fanis Kalatzis, et al. Fusion of optical coherence tomographic and angiographic data for more accurate evaluation of the endothelial shear stress patterns and neointimal distribution after bioresorbable scaffold implantation: comparison with intravascular ultrasound-derived reconstructions. The international journal of cardiovascular imaging, 30(3):485--494, 2014. [abstract][pdf]
Christos I Salis, Anastasios E Malissovas, Paschalis A Bizopoulos, Alexandros T Tzallas, Pantelis A Angelidis, and Dimitrios G Tsalikakis. Denoising simulated EEG signals: A comparative study of EMD, Wavelet Transform and Kalman Filter. In Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on, pages 1--4. IEEE, 2013. [abstract]
Paschalis A Bizopoulos, Dimitrios G Tsalikakis, Alexandros T Tzallas, Dimitrios D Koutsouris, and Dimitrios I Fotiadis. EEG epileptic seizure detection using k-means clustering and marginal spectrum based on ensemble empirical mode decomposition. In Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on, pages 1--4. IEEE, 2013. [abstract]
Paschalis A Bizopoulos, Tarik Al-Ani, Dimitrios G Tsalikakis, Alexandros T Tzallas, Dimitrios D Koutsouris, and Dimitrios I Fotiadis. An automatic electroencephalography blinking artefact detection and removal method based on template matching and ensemble empirical mode decomposition. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pages 5853--5856. IEEE, 2013. [abstract]