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Di Caterina, Gaetano
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Deep learning networks for automatic brain tumour segmentation from MRI data
Schöpfer:
Kaewrak, Keerati
Datum:
2023
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Application of dynamic mode decomposition in MI-BCI
Schöpfer:
Zapotoczny, Lukasz
Datum:
2022
Department, School or Faculty:
Department of Biomedical Engineering
Novel image processing and deep learning methods for head and neck cancer delineation from MRI data
Schöpfer:
Zhao, Baixiang
Datum:
2022
Funder:
Beatson Institute for Cancer Research
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Indoor navigation efficiency improvement in intelligent assistive systems (IAS) using neural networks
Schöpfer:
Basu, Amlan
Datum:
2022
Department, School or Faculty:
Centre for Excellence in Signal Image Processing and Department of Electronic and Electrical Engineering
Dense convolutional networks for efficient video analysis
Schöpfer:
Jin, Tian
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Emotion recognition in video using deep learning method with subtract pre-processing
Schöpfer:
He, Zhihao
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering and Centre for Signal and Image Processing
Acoustic-based machine learning diagnostic tool for voice disorders
Schöpfer:
Wu, Huiyi
Datum:
2020
Funder:
University of Strathclyde
and
Capita Foundation
Department, School or Faculty:
Department of Electronic and Electrical Engineering
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5
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2
Schöpfer
Basu, Amlan
1
He, Zhihao
1
Jin, Tian
1
Kaewrak, Keerati
1
Wu, Huiyi
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Di Caterina, Gaetano
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7
Soraghan, John
5
Beatson Institute for Cancer Research
1
Capita Foundation
1
Conway, Bernard
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Geldgeber
Beatson Institute for Cancer Research
1
Capita Foundation
1
University of Strathclyde
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Abteilung, Schule oder Fakultät
Department of Electronic and Electrical Engineering
6
Centre for Excellence in Signal Image Processing
1
Centre for Signal and Image Processing
1
Department of Biomedical Engineering
1
Datum
2020
3
2022
3
2023
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