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Alexandros Arjmand
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2020 – today
- 2023
- [b1]Alexandros Arjmand:
Τεχνικές ψηφιακής επεξεργασίας εικόνας για την ανάλυση μικροσκοπικής απεικόνισης ιστοπαθολογίας. University of Ioannina, Greece, 2023 - 2022
- [j3]Vasileios Christou
, Alexandros Arjmand, Dimitrios Dimopoulos
Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. Inf. 13(2): 101 (2022) - [j2]Alexandros Arjmand, Odysseas Tsakai, Vasileios Christou
Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images. Inf. 13(4): 160 (2022) - [c6]Vasileios Nastos, Alexandros Arjmand, Klevis Tsakai, Dimitrios Dimopoulos, Dimitrios Varvarousis
Human Activity Recognition using Machine Learning Techniques. SEEDA-CECNSM 2022: 1-5 - 2021
- [j1]Alexandros Arjmand, Vasileios Christou
An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images. Array 11: 100078 (2021) - [c5]Alexandros Arjmand, M. Pappas, Odysseas Tsakai, V. Christon, Alexandros T. Tzallas
Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System. SEEDA-CECNSM 2021: 1-5 - [c4]Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis
Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals. SEEDA-CECNSM 2021: 1-5 - 2020
- [c3]Alexandros Arjmand, Vasileios Christou, Alexandros T. Tzallas
Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images. TSP 2020: 480-483
2010 – 2019
- 2019
- [c2]Alexandros Arjmand, Constantinos T. Angelis, Alexandros T. Tzallas
Deep Learning in Liver Biopsies using Convolutional Neural Networks. TSP 2019: 496-499 - 2018
- [c1]Alexandros Arjmand, Alexandros T. Tzallas
Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques. PETRA 2018: 434-440
Coauthor Index
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