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- 2021
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Mark
Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic : A scientometric review using text mining
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- Contribution to journal › Scientific review
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Mark
Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction
(
- Contribution to journal › Article
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Mark
Realeasy: Real-Time capable Simulation to Reality Domain Adaptation
2021) 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) p.2009-2016(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Unsupervised flow cytometry analysis in hematological malignancies : A new paradigm
(
- Contribution to journal › Scientific review
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Mark
Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems
2021) 2nd IEEE/ACM International Workshop on Ethics in Software Engineering Research and Practice, SEthics 2021 In Proceedings - 2021 IEEE/ACM 2nd International Workshop on Ethics in Software Engineering Research and Practice, SEthics 2021 p.5-12(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
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- Contribution to journal › Article
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Mark
Predicting Monthly Community-Level Domestic Radon Concentrations in the Greater Boston Area with an Ensemble Learning Model
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- Contribution to journal › Article
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Mark
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
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- Contribution to journal › Article
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Mark
On Quality in Radiotherapy Treatment Plan Optimisation
2021)(
- Thesis › Doctoral thesis (compilation)
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Mark
ORKG : Facilitating the Transfer of Research Results with the Open Research Knowledge Graph
(
- Contribution to journal › Article