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- 2017
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Mark
Instance-level Semantic Segmentation by Deep Normalized Cuts
(2017) In Master's Theses in Mathematical Sciences FMA820 20162
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Stand-alone music creation using machine learning
(2017) In Master's Theses in Mathematical Sciences FMA820 20171
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Rotational Invariant Convolutional Neural Networks for Prostate Cancer Classification
(2017) In Master's Theses in Mathematical Sciences FMA820 20171
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Analysis of HLA-A, -B and -DR Alleles as Risk Factors for One-Year Mortality in Heart Transplants Using Artificial Neural Networks
(2017) FYTM03 20171
Department of Astronomy and Theoretical Physics - Has been reorganised
Computational Biology and Biological Physics - Has been reorganised- Master (Two yrs)
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Mark
Deep Learning Methods for Streaming Image Reconstruction in Fixed-camera Settings
(2017) In Master's Theses in Mathematical Sciences FMAM05 20172
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Segmentation in Skeletal Scintigraphy Images using Convolutional Neural Networks
(2017) In Master's Theses in Mathematical Sciences FMA820 20171
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2016
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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)
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Mark
Distributing a Neural Network on Axis Cameras
- Prof. qual. >4 yrs
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Mark
Prostate Cancer Classification using Convolutional Neural Networks
(2016) In Master's Theses in Mathematical Sciences FMA820 20161
Mathematics (Faculty of Engineering)- Master (Two yrs)
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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)