1.
Szilagyi, Laszlo ✉ ; Kovacs, Levente
Special Issue: Artificial Intelligence Technology in Medical Image Analysis
APPLIED SCIENCES-BASEL 14 : 5 Paper: 2180 , 5 p. (2024)
DOI WoS
Publication:34779484 Validated Core Journal Article (Article ) Scientific
Article (Journal Article) | Scientific[34779484] [Validated]
2.
Lehel, Dénes-Fazakas ; Barbara, Simon ; Ádám, Hartveg ; Levente, Kovács ; Éva-Henrietta, Dulf ✉ ; László, Szilágyi ; György, Eigner
Physical activity detection for diabetes mellitus patients using recurrent neural networks
SENSORS Paper: 2910621 (2024)
DOI
Publication:34778890 Admin approved Core Citing Journal Article (Article ) Scientific
Article (Journal Article) | Scientific[34778890] [Admin approved]
3.
Szabolcs, Csaholczi ; Levente, Kovács ; László, Szilágyi
Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning
In: Anikó, Szakál (eds.) IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings
Bp, Hungary : IEEE Hungary Section (2024) pp. 000399-000404. , 6 p.
Publication:34769087 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34769087] [Approved]
4.
Barbara, Simon ; Ádám, Hartveg ; Máté, Siket ; Lehel, Dénes-Fazakas ; György, Eigner ; Levente, Kovács ; László, Szilágyi
Data collection studies for the better understanding of factors in type 1 diabetes management
In: Anikó, Szakál (eds.) IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings
Bp, Hungary : IEEE Hungary Section (2024) pp. 000375-000380. , 6 p.
Publication:34769071 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34769071] [Approved]
5.
Róbert, Roman ; László, Dávid ; Szilágyi, László
Development of A Novel Solar Photovoltaic Energy Converter To Increase Off-Grid Solar Powerplant Energy Efficiency, Decrease Energy Storage Costs And Increase Monetary Return On Investment
In: IEEE, Publ. (eds.) IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics : SAMI 2024 : Proceedings
Danvers (MA), United States of America : Institute of Electrical and Electronics Engineers (2024) pp. 303-308. , 6 p.
DOI Scopus
Publication:34543614 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34543614] [Approved]
6.
Attila, Biró ; Antonio, Ignacio Cuesta-Vargas ; Szilágyi, László
AI-controlled training method for performance hardening or injury recovery in sports
In: IEEE, Publ. (eds.) IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics : SAMI 2024 : Proceedings
Danvers (MA), United States of America : Institute of Electrical and Electronics Engineers (2024) pp. 259-264. , 6 p.
DOI Scopus
Publication:34543519 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34543519] [Approved]
7.
Attila, Biró ; Katalin, Tünde Jánosi-Rancz ; Szilágyi, László
Real-time Artificial Intelligence Text Analysis for Identifying Burnout Syndromes in High-Performance Athletes
In: IEEE, Publ. (eds.) IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics : SAMI 2024 : Proceedings
Danvers (MA), United States of America : Institute of Electrical and Electronics Engineers (2024) pp. 253-258. , 6 p.
DOI Scopus
Publication:34543227 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34543227] [Approved]
8.
Biró, Attila ; Cuesta-Vargas, Antonio Ignacio ; Szilágyi, László
sRPE and ACWR to Control Fatigue Levels and Minimize Injuries in Performance Sports
In: Xiao, Yu; Qiu, Tao; Jiang, Xinqi; Yang, Qi; Shang, Zhaowei; Zhang, Taiping (eds.) 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Oahu Island (HI), United States of America : Institute of Electrical and Electronics Engineers (2023) pp. 2808-2813. , 6 p.
DOI Scopus
Publication:34777217 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34777217] [Approved]
9.
Győrfi, Ágnes ; Kovács, Levente ; Szilágyi, László
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture
In: Xiao, Yu; Qiu, Tao; Jiang, Xinqi; Yang, Qi; Shang, Zhaowei; Zhang, Taiping (eds.) 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Oahu Island (HI), United States of America : Institute of Electrical and Electronics Engineers (2023) pp. 1327-1332. , 6 p.
DOI Scopus
Publication:34777191 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34777191] [Approved]
10.
Dénes-Fazakas, Lehel ; Kovács, Levente ; Eigner, György ; Szilágyi, László
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture
In: Xiao, Yu; Qiu, Tao; Jiang, Xinqi; Yang, Qi; Shang, Zhaowei; Zhang, Taiping (eds.) 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Oahu Island (HI), United States of America : Institute of Electrical and Electronics Engineers (2023) pp. 3003-3008. , 6 p.
DOI Scopus
Publication:34735913 Published Core Chapter in Book (Conference paper ) Scientific
Conference paper (Chapter in Book) | Scientific[34735913] [Approved]
2024-05-04 15:22