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

V. Christou, A. Arjmand, D. Dimopoulos, D. Varvarousis, A. Tzallas, C. Gogos, M. Tsipouras, A. Ploumis, and N. Giannakeas. SEEDA-CECNSM, page 1-5. IEEE, (2021)

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Alexandros Theodoridis

Alexandros Doutsias

Alexandros Daponte

Alexandros Argirokastritis

Alexandros Tsallas

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Τεχνικές ψηφιακής επεξεργασίας εικόνας για την ανάλυση μικροσκοπικής απεικόνισης ιστοπαθολογίαςA. Arjmand. University of Ioannina, Greece, (2023)National Archive of PhD Theses: oai:10442/54380.Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System.A. Arjmand, M. Pappas, O. Tsakai, V. Christon, A. Tzallas, M. Tsipouras, R. Forlano, P. Manousou, R. Goldin, E. Glavas and 1 other author(s). SEEDA-CECNSM, page 1-5. IEEE, (2021)Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images.A. Arjmand, V. Christou, A. Tzallas, M. Tsipouras, C. Angelis, G. Tsoumanis, E. Glavas, R. Forlano, P. Manousou, and N. Giannakeas. TSP, page 480-483. IEEE, (2020)An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images.A. Arjmand, V. Christou, I. Tsoulos, M. Tsipouras, A. Tzallas, C. Gogos, E. Glavas, and N. Giannakeas. Array, (2021)Human Activity Recognition using Machine Learning Techniques.V. Nastos, A. Arjmand, K. Tsakai, D. Dimopoulos, D. Varvarousis, A. Tzallas, N. Giannakeas, A. Ploumis, and C. Gogos. SEEDA-CECNSM, page 1-5. IEEE, (2022)Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images.A. Arjmand, O. Tsakai, V. Christou, A. Tzallas, M. Tsipouras, R. Forlano, P. Manousou, R. Goldin, C. Gogos, E. Glavas and 1 other author(s). Inf., 13 (4): 160 (2022)Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals.V. Christou, A. Arjmand, D. Dimopoulos, D. Varvarousis, A. Tzallas, C. Gogos, M. Tsipouras, A. Ploumis, and N. Giannakeas. SEEDA-CECNSM, page 1-5. IEEE, (2021)Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques.A. Arjmand, A. Tzallas, M. Tsipouras, R. Forlano, P. Manousou, N. Katertsidis, and N. Giannakeas. PETRA, page 434-440. ACM, (2018)Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method.V. Christou, A. Arjmand, D. Dimopoulos, D. Varvarousis, I. Tsoulos, A. Tzallas, C. Gogos, M. Tsipouras, E. Glavas, A. Ploumis and 1 other author(s). Inf., 13 (2): 101 (2022)Deep Learning in Liver Biopsies using Convolutional Neural Networks.A. Arjmand, C. Angelis, A. Tzallas, M. Tsipouras, E. Glavas, R. Forlano, P. Manousou, and N. Giannakeas. TSP, page 496-499. IEEE, (2019)

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Disambiguation of "Arjmand, Alexandros"

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

Please choose a person to relate this publication to

Alexandros Theodoridis

Alexandros Doutsias

Alexandros Daponte

Alexandros Argirokastritis

Alexandros Tsallas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Arjmand, Alexandros"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals.

Please choose a person to relate this publication to

Alexandros Theodoridis

Alexandros Doutsias

Alexandros Daponte

Alexandros Argirokastritis

Alexandros Tsallas

Other publications of authors with the same name

Disambiguation

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