Pinelopi Manousou

According to our database, Pinelopi Manousou authored at least 12 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images.

Alexandros Arjmand, Odysseas Tsakai, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Christos Gogos, Evripidis Glavas, Nikolaos Giannakeas

Inf., 2022

2021

Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System.

Alexandros Arjmand, M. Pappas, Odysseas Tsakai, V. Christon, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Evripidis Glavas, Nikolaos Giannakeas

Proceedings of the 6th South-East Europe Design Automation, 2021

2020

Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images.

Alexandros Arjmand, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Constantinos T. Angelis, Georgios Tsoumanis, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas

Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

2019

Deep Learning in Liver Biopsies using Convolutional Neural Networks.

Alexandros Arjmand, Constantinos T. Angelis, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

2018

Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques.

Alexandros Arjmand, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Nikolaos S. Katertsidis, Nikolaos Giannakeas

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

2017

Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing.

Maria Tsiplakidou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou

Inf., 2017

A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques.

Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Ioannis G. Tsoulos, Epameinondas Tsianos

Comput. Methods Programs Biomed., 2017

Automated Collagen Proportional Area Extraction in Liver Biopsy Images Using a Novel Classification via Clustering Algorithm.

Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Markos G. Tsipouras, Dimitrios G. Tsalikakis, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging.

Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Maria G. Vavva, Maria Tsimplakidou, Evaggelos C. Karvounis, Roberta Forlano, Pinelopi Manousou

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Image Enhancement of Routine Biopsies: A Case for Liver Tissue Detection.

Nikolaos Giannakeas, Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Roberta Forlano, Alexandros T. Tzallas

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016

Automated Hepatic Steatosis Assessment through Liver Biopsy Image Processing.

Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Nikolaos Giannakeas, Alexandros T. Tzallas

Proceedings of the 18th IEEE Conference on Business Informatics, 2016

2015

A clustering based method for collagen proportional area extraction in liver biopsy images.

Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Kalliroi Kyriakidi, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Evaggelos Karvounis, Vasileios Tsianos, Epameinondas Tsianos

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015