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- 2019
-
Mark
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
- Contribution to journal › Article
- 2018
-
Mark
Deep Learning Applications for Biomedical Data and Natural Language Processing
(2018)
- Thesis › Doctoral thesis (compilation)
-
Mark
Including pervasive web content in evidence-based software engineering : A case study
(2018) 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017 2018-January. p.55-62
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
-
Mark
Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Algorithms and Proofs of Concept for Massive MIMO Systems
(2017)
- Thesis › Doctoral thesis (compilation)
-
Mark
Integrating the methods of project-based learning and role-playing to promote deep approach of learning : Programming languages
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
-
Mark
Towards Grading Gleason Score using Generically Trained Deep convolutional Neural Networks
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
