ASJC Scopus Subject Areas (4053)
Computer Science(all) (481)
Computer Vision and Pattern Recognition (16)
Number of items at this level: 16.
Article
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. (2024)
Alzheimer’s Disease Neuroimaging Initiative,
Daniele Ravi,
Frederik Barkhof,
Daniel C. Alexander,
Lemuel Puglisi,
Geoffrey J.M. Parker
and
Arman Eshaghi
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Feature weighting in DBSCAN using reverse nearest neighbours. (2023)
Stiphen Chowdhury,
Na Helian
and
Renato Cordeiro de Amorim
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A Robust Document Identification Framework through f-BP Fingerprint. (2021)
Francesco Guarnera,
Oliver Giudice,
Dario Allegra,
Filippo Stanco,
Sebastiano Battiato,
Salvatore Livatino,
Vito Matranga
and
Angelo Salici
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities. (2024)
Shoaib Hassan,
Qianmu Li,
Khursheed Aurangzeb,
Affan Yasin,
Javed Ali Khan
and
Muhammad Shahid Anwar
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Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices. (2024)
Efosa Osagie,
Wei Ji
and
Na Helian
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De-identification for privacy protection in multimedia content : A survey. (2016)
Slobodan Ribaric,
Aladdin Ariyaeeinia
and
Nikola Pavesic
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Generating photo-realistic training data to improve face recognition accuracy. (2021)
Daniel Sáez-Trigueros,
Li Meng
and
Margaret Hartnett
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Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. (2022)
for the Alzheimer's Disease Neuroimaging Initiative,
Daniele Ravi,
Stefano B. Blumberg,
Silvia Ingala,
Frederik Barkhof,
Daniel C. Alexander
and
Neil P. Oxtoby
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