SIPPRE

Assistant Professor @ECE UoP

Special Issue “Artificial Intelligence in Screening Mammography: Recent Advances and tools in cancer detection and diagnosis”

Special Issue "Artificial Intelligence in Screening Mammography: Recent Advances and tools in cancer detection and diagnosis"

We are pleased to announce that the Special Issue “Artificial Intelligence in Screening Mammography: Recent Advances and tools in cancer detection and diagnosis” is open for submissions in Journal Applied Sciences MDPI.
The deadline for submissions is the 20th of July 2022.

Guest Editors are the Group members:
Dr. Athanasios Koutras, Dr. Ioanna Christoyianni, Dr. George Apostolopoulos and Dr. Evangelos Dermatas

Your submissions are welcome! If you are interested to contribute your work, feel free to contact any of the editors.

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Paper presentation at IEEE BIBE 2021 Conference

Paper presentation at the IEEE BIBE 2021 Conference

SIPPRE Group member Dionysios Anyfantis, PhD Candidate, has successfully presented the paper with title: “A Comparative Analysis of Breast Cancer Diagnosis by Fusing Visual and Semantic Feature Descriptors” by George Apostolopoulos, Ph.D., Thanasis Koutras, Dionissys Anyfantis, and I. Christoyianni, at the 21st IEEE International Conference on BioInformatics and BioEngineering that was held on October 25-27, 2021, at Kragujevac, Serbia.

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Παρουσίαση Πτυχιακής Εργασίας ΠΟΡΙΚΗ ΧΡΗΣΤΟΥ

Παρουσίαση πτυχιακής εργασίας ΠΟΡΙΚΗ ΧΡΗΣΤΟΥ

H δημόσια παρουσίαση της Πτυχιακής Εργασίας του κ. ΠΟΡΙΚΗ ΧΡΗΣΤΟΥ, φοιτητή του Τμήματος ΗΜΜΥ (προερχόμενος από το πρ. Τμήμα ΜΗΠΤΕ), θα πραγματοποιηθεί την Τρίτη 14/09/2021, στις 12:00-12:30.

Θέμα της πτυχιακής εργασίας:
ΣΧΕΔΙΑΣΜΟΣ ΚΑΙ ΑΝΑΠΤΥΞΗ ΕΙΚΟΝΙΚΟΥ ΠΕΡΙΒΑΛΛΟΝΤΟΣ ΜΕ ΧΡΗΣΗ ΤΗΣ ΜΗΧΑΝΗΣ UNREAL

Η παρουσίαση θα πραγματοποιηθεί εξ αποστάσεως μέσω της πλατφόρμας zoom. Για σύνδεση, μπορείτε να επικοινωνήσετε με τον επιβλέποντα στο koutras [at] uop.gr.

Παρουσίαση Πτυχιακής Εργασίας ΠΟΡΙΚΗ ΧΡΗΣΤΟΥ Read More »

Paper presentation at EANN 2021

Paper presentation at the EANN 2021 Conference

SIPPRE Group has presented the paper with title: “Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors” by George Apostolopoulos, Ph.D., Thanasis Koutras, Dionissys Anyfantis, I. Christoyianni and Evangelos Dermatas, at the 22nd International Conference on Engineering Applications of Neural Networks (EANN 2021). You can see the presentation of our work here!

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SIPPRE Group at EANN 2021 Conference

Paper accepted for presentation in EANN 2021 International Conference

We are pleased to announce that our paper with title: “Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors” by SIPPRE Group members George Apostolopoulos, Ph.D., Thanasis Koutras, Dionissys Anyfantis, I. Christoyianni and Evangelos Dermatas, has been accepted for presentation to the 22nd  International Conference on Engineering Applications of Neural Networks (EANN 2021) that will take place on 25-27 of June 2021 at Crete, Greece!

Congrats to all the members!

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Paper presentation at BIBE 2020

Paper presentation at the BIBE 2020 Conference

SIPPRE Group has presented the paper with title: “Fusing Low-Level Visual Features and High-Level Semantic Features for Breast Cancer Diagnosis in Digital Mammograms” by George Apostolopoulos, Ph.D., Thanasis Koutras, Dionissys Anyfantis, I. Christoyianni and Evangelos Dermatas, at the 20th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2020) Conference. You can see the presentation of our work here!

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PhD Position on EEG signal analysis of epileptic patients

PhD Position on Epileptogenic zone location of epileptic patients using EEG signal analysis during whole night sleep

SIPPRE Research group is currently offering one PhD Position in the field of Epileptogenic zone location of epileptic patients using EEG signal analysis during whole night sleep. Further information can be inquired by sending an e-mail to sippre-group [at] gmail.com and koutras [at] uop.gr

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SIPPRE Group at BIBE 2020 Conference

Paper accepted to be presented in BIBE 2020 Conference

We are pleased to announce that our paper with title: “Fusing Low-Level Visual Features and High-Level Semantic Features for Breast Cancer Diagnosis in Digital Mammograms” by SIPPRE Group members George Apostolopoulos, Ph.D., Thanasis Koutras, Dionissys Anyfantis, I. Christoyianni and Evangelos Dermatas, has been accepted for presentation to the 20th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2020) Conference that will take place virtually on October 26-28, 2020 in USA!

Congrats to all the members!

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Motor Imagery BCI experiments at the Lab

Motor Imagery BCI experiments at the Lab

Summer is the perfect time for experimentation and fine tuning of our Brain Computer Interface system. That’s why we arranged a complete two days session of recordings and playing around with our OpenBCI EEG system and a small Arduino controlled vehicle. Lab member Thodoris Pantazopoulos, Electrical and Computer Engineer student from the University of Patras who is responsible for the experiments, is shown in action on the following video controlling the vehicle using left and right imaginary movements.
For the 8-channel EEG acquisition, OpenBCI is used to capture Thodoris’ brain activity. Data from the C1, C2, C3, C4, CP1, CP2, CP3, and CP4 EEG channels are captured wirelessly on the right laptop,streamed to the network using the LSL protocol, captured and processed by the laptop on the left. On this machine, data are classified into movements using a  previously trained pattern recognition system and finally converted to commands that are being sent to the vehicle when it waits for directions.
More details on the procedure will be published in short time, so stay tuned!

Would you like to join our experiments? Feel free to drop us a line at sippre-group [at] gmail.com or contact directly Dr. Athanasios Koutras at koutras [at] uop.gr to arrange a recording session!

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PhD Position in Speech Recognition using Deep Learning

PhD Position in Speech recognition using Deep Learning

SIPPRE Research group is currently offering one PhD Position in the field of Speech Recognition using Deep Learing. The task of this thesis is the development of methods and software for automated speech processing and recognition in noisy and multi-simultaneous speaker environments using Deep Learning. Further information can be inquired by sending an e-mail to sippre-group [at] gmail.com

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