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- 2021
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Mark
Natural Language Processing for Patient Data in Clinical Decision Support Systems
- Master (Two yrs)
- 2020
-
Mark
Connected Health for Patients Diagnosed with Prostate Cancer
- Master (Two yrs)
- 2019
-
Mark
Classification of High Risk Prostate Cancer using Deep Learning
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2018
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Mark
Automatic Gleason Classification of Prostate Cancer - Classification of Small Regions
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2017
-
Mark
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
- Master (Two yrs)
-
Mark
Detectability of fiducial markers in an MRI-only radiotherapy treatment workflow for prostate
- Bach. Degree
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Mark
Evaluation of the Cost-Effectiveness of Novel Tests in the Screening and Diagnostic Phases of Prostate Cancer Compared to Current Practice
- Master (Two yrs)
- 2016
-
Mark
Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks
(2016) In Master’s Theses in Mathematical Sciences FMA820 20161
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Classification in Bone Scintigraphy Images Using Convolutional Neural Networks
(2016) In Master's Theses in Mathematical Sciences FMA820 20161
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Deep Learning with a DAG Structure for Segmentation and Classification of Prostate Cancer
(2016) In Master's Theses in Mathematical Sciences FMA820 20161
Mathematics (Faculty of Engineering)- Master (Two yrs)