Alexandros Arjmand

According to our database, Alexandros Arjmand authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Τεχνικές ψηφιακής επεξεργασίας εικόνας για την ανάλυση μικροσκοπικής απεικόνισης ιστοπαθολογίας

Alexandros Arjmand

PhD thesis, 2023

2022

Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method.

Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Evripidis Glavas, Avraam Ploumis, Nikolaos Giannakeas

Inf., 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

Human Activity Recognition using Machine Learning Techniques.

Vasileios Nastos, Alexandros Arjmand, Klevis Tsakai, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Nikolaos Giannakeas, Avraam Ploumis, Christos Gogos

Proceedings of the 7th South-East Europe Design Automation, 2022

2021

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images.

Alexandros Arjmand, Vasileios Christou, Ioannis G. Tsoulos, Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas

Array, 2021

Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals.

Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Avraam Ploumis, Nikolaos Giannakeas

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