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You searched for +publisher:"Delft University of Technology" +contributor:("Niessen, Wiro"). Showing records 1 – 6 of 6 total matches.

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Delft University of Technology

1. Snaauw, Gerard (author). Regularization of end-to-end learning for cardiac diagnosis by multitask learning with segmentation.

Degree: 2018, Delft University of Technology

Cardiac magnetic resonance (CMR) is used extensively in the diagnosis and management of cardiovascular disease. Deep learning methods have proven to deliver segmentation results comparable… (more)

Subjects/Keywords: Deep Learning; Cardiac Diagnosis; Multitask Learning; CMR; end-to-end training

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Snaauw, G. (. (2018). Regularization of end-to-end learning for cardiac diagnosis by multitask learning with segmentation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:69b93800-0683-4e34-82df-06015062e049

Chicago Manual of Style (16th Edition):

Snaauw, Gerard (author). “Regularization of end-to-end learning for cardiac diagnosis by multitask learning with segmentation.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:69b93800-0683-4e34-82df-06015062e049.

MLA Handbook (7th Edition):

Snaauw, Gerard (author). “Regularization of end-to-end learning for cardiac diagnosis by multitask learning with segmentation.” 2018. Web. 08 Mar 2021.

Vancouver:

Snaauw G(. Regularization of end-to-end learning for cardiac diagnosis by multitask learning with segmentation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:69b93800-0683-4e34-82df-06015062e049.

Council of Science Editors:

Snaauw G(. Regularization of end-to-end learning for cardiac diagnosis by multitask learning with segmentation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:69b93800-0683-4e34-82df-06015062e049


Delft University of Technology

2. Chatzoudis, Pavlos (author). MRI prostate cancer radiomics: Assessment of effectiveness and perspectives.

Degree: 2018, Delft University of Technology

Prostate cancer is a disease with very high prevalence and mortality in the western world. An early accurate diagnosis can increase treatment efficiency. Current diagnosing… (more)

Subjects/Keywords: Radiomics; MRI; prostate cancer; personalized medicine; Random Forest; SVM

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APA (6th Edition):

Chatzoudis, P. (. (2018). MRI prostate cancer radiomics: Assessment of effectiveness and perspectives. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b8459bdb-1761-4f17-8807-e3b1cf7da629

Chicago Manual of Style (16th Edition):

Chatzoudis, Pavlos (author). “MRI prostate cancer radiomics: Assessment of effectiveness and perspectives.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:b8459bdb-1761-4f17-8807-e3b1cf7da629.

MLA Handbook (7th Edition):

Chatzoudis, Pavlos (author). “MRI prostate cancer radiomics: Assessment of effectiveness and perspectives.” 2018. Web. 08 Mar 2021.

Vancouver:

Chatzoudis P(. MRI prostate cancer radiomics: Assessment of effectiveness and perspectives. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:b8459bdb-1761-4f17-8807-e3b1cf7da629.

Council of Science Editors:

Chatzoudis P(. MRI prostate cancer radiomics: Assessment of effectiveness and perspectives. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:b8459bdb-1761-4f17-8807-e3b1cf7da629


Delft University of Technology

3. García Sanz, María (author). Predicting the 1p/19q co-deletion status in low grade gliomas: The effect of using local binary convolutional neural networks.

Degree: 2019, Delft University of Technology

Patients with 1p/19q co-deleted low grade glioma (LGGs) have better prognosis and react better to certain treatments than patients with intact 1p/19q LGG. Currently, information… (more)

Subjects/Keywords: Deep Learning; Low Grade Gliomas; 1p/19q co-deletion; Convolutional Neural Network; Local Binary Patterns; Radiogenomics

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APA (6th Edition):

García Sanz, M. (. (2019). Predicting the 1p/19q co-deletion status in low grade gliomas: The effect of using local binary convolutional neural networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f38448c0-0c67-47ea-a1e3-5a1be50adf42

Chicago Manual of Style (16th Edition):

García Sanz, María (author). “Predicting the 1p/19q co-deletion status in low grade gliomas: The effect of using local binary convolutional neural networks.” 2019. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:f38448c0-0c67-47ea-a1e3-5a1be50adf42.

MLA Handbook (7th Edition):

García Sanz, María (author). “Predicting the 1p/19q co-deletion status in low grade gliomas: The effect of using local binary convolutional neural networks.” 2019. Web. 08 Mar 2021.

Vancouver:

García Sanz M(. Predicting the 1p/19q co-deletion status in low grade gliomas: The effect of using local binary convolutional neural networks. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:f38448c0-0c67-47ea-a1e3-5a1be50adf42.

Council of Science Editors:

García Sanz M(. Predicting the 1p/19q co-deletion status in low grade gliomas: The effect of using local binary convolutional neural networks. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:f38448c0-0c67-47ea-a1e3-5a1be50adf42


Delft University of Technology

4. van Hilten, Arno (author). Segmenting and Detecting Carotid Plaque Components in MRI.

Degree: 2018, Delft University of Technology

Cardiovascular diseases and stroke are currently the leading causes of death worldwide. Atherosclerotic plaque is a mostly asymptotic vascular disease, but rupture of an atherosclerotic… (more)

Subjects/Keywords: Machine Learning; Deep Learning; Multiple Instance Learning; Segmentation; Detection; Plaque Components; Carotid Artery; MRI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van Hilten, A. (. (2018). Segmenting and Detecting Carotid Plaque Components in MRI. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9bce7f8a-8d69-4b48-98c4-fc4e6600b63d

Chicago Manual of Style (16th Edition):

van Hilten, Arno (author). “Segmenting and Detecting Carotid Plaque Components in MRI.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:9bce7f8a-8d69-4b48-98c4-fc4e6600b63d.

MLA Handbook (7th Edition):

van Hilten, Arno (author). “Segmenting and Detecting Carotid Plaque Components in MRI.” 2018. Web. 08 Mar 2021.

Vancouver:

van Hilten A(. Segmenting and Detecting Carotid Plaque Components in MRI. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:9bce7f8a-8d69-4b48-98c4-fc4e6600b63d.

Council of Science Editors:

van Hilten A(. Segmenting and Detecting Carotid Plaque Components in MRI. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:9bce7f8a-8d69-4b48-98c4-fc4e6600b63d


Delft University of Technology

5. Wang, Johnny (author). Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study.

Degree: 2019, Delft University of Technology

The gap between predicted brain age and chronological age could serve as biomarker for early-stage neurodegeneration and as potentially as a risk indicator for dementia.… (more)

Subjects/Keywords: Deep Learning; Age prediction; Dementia; Biomarker; Brain; Magnetic Resonance Imaging; Voxel-based morphometry; Survival analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, J. (. (2019). Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1fda41dd-745e-4d4d-8098-d9212148153a

Chicago Manual of Style (16th Edition):

Wang, Johnny (author). “Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study.” 2019. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:1fda41dd-745e-4d4d-8098-d9212148153a.

MLA Handbook (7th Edition):

Wang, Johnny (author). “Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study.” 2019. Web. 08 Mar 2021.

Vancouver:

Wang J(. Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:1fda41dd-745e-4d4d-8098-d9212148153a.

Council of Science Editors:

Wang J(. Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:1fda41dd-745e-4d4d-8098-d9212148153a


Delft University of Technology

6. van Wijnen, Kimberlin (author). Detecting Perivascular Spaces: a Geodesic Deep Learning Approach.

Degree: 2018, Delft University of Technology

 Perivascular spaces (PVS) visible on MRI are currently emerging as an important potential neuroimaging marker for several pathologies in the brain like Alzheimer’s disease and… (more)

Subjects/Keywords: Deep learning; perivascular spaces; detection; geodesic distance transform; dot annotations; weighted loss

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van Wijnen, K. (. (2018). Detecting Perivascular Spaces: a Geodesic Deep Learning Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb

Chicago Manual of Style (16th Edition):

van Wijnen, Kimberlin (author). “Detecting Perivascular Spaces: a Geodesic Deep Learning Approach.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb.

MLA Handbook (7th Edition):

van Wijnen, Kimberlin (author). “Detecting Perivascular Spaces: a Geodesic Deep Learning Approach.” 2018. Web. 08 Mar 2021.

Vancouver:

van Wijnen K(. Detecting Perivascular Spaces: a Geodesic Deep Learning Approach. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb.

Council of Science Editors:

van Wijnen K(. Detecting Perivascular Spaces: a Geodesic Deep Learning Approach. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb

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