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You searched for +publisher:"Delft University of Technology" +contributor:("Vos, Frans"). Showing records 1 – 12 of 12 total matches.

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Delft University of Technology

1. Driever, Theo (author). Improving the reproducibility of BOLD rs-fMRI signal by selective data elimination.

Degree: 2018, Delft University of Technology

 Connectivity mapping with resting state functional magnetic resonance imaging (rs-fMRI) is rapidly developing and has shown great promise for clinical applications. Before successful implementation in… (more)

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APA (6th Edition):

Driever, T. (. (2018). Improving the reproducibility of BOLD rs-fMRI signal by selective data elimination. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ce07f35d-12b5-48d8-98e7-794f045bcfd2

Chicago Manual of Style (16th Edition):

Driever, Theo (author). “Improving the reproducibility of BOLD rs-fMRI signal by selective data elimination.” 2018. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:ce07f35d-12b5-48d8-98e7-794f045bcfd2.

MLA Handbook (7th Edition):

Driever, Theo (author). “Improving the reproducibility of BOLD rs-fMRI signal by selective data elimination.” 2018. Web. 10 Apr 2021.

Vancouver:

Driever T(. Improving the reproducibility of BOLD rs-fMRI signal by selective data elimination. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:ce07f35d-12b5-48d8-98e7-794f045bcfd2.

Council of Science Editors:

Driever T(. Improving the reproducibility of BOLD rs-fMRI signal by selective data elimination. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:ce07f35d-12b5-48d8-98e7-794f045bcfd2


Delft University of Technology

2. Konduri, Praneeta (author). A Planning Tool for Left Ventricular Reconstruction in Patients with Severe Ischemic Cardiomyopathy.

Degree: 2017, Delft University of Technology

Surgical ventricular reconstruction aims to restore the ideal left ventricular geometry and function and is used as a treatment modality for patients with severe ischemic… (more)

Subjects/Keywords: Surgical ventricular reconstruction; Planning tool; Ischemic Cardiomyopathy

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APA (6th Edition):

Konduri, P. (. (2017). A Planning Tool for Left Ventricular Reconstruction in Patients with Severe Ischemic Cardiomyopathy. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3483d327-dbab-40ad-80ba-1fe1c46f9003

Chicago Manual of Style (16th Edition):

Konduri, Praneeta (author). “A Planning Tool for Left Ventricular Reconstruction in Patients with Severe Ischemic Cardiomyopathy.” 2017. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:3483d327-dbab-40ad-80ba-1fe1c46f9003.

MLA Handbook (7th Edition):

Konduri, Praneeta (author). “A Planning Tool for Left Ventricular Reconstruction in Patients with Severe Ischemic Cardiomyopathy.” 2017. Web. 10 Apr 2021.

Vancouver:

Konduri P(. A Planning Tool for Left Ventricular Reconstruction in Patients with Severe Ischemic Cardiomyopathy. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:3483d327-dbab-40ad-80ba-1fe1c46f9003.

Council of Science Editors:

Konduri P(. A Planning Tool for Left Ventricular Reconstruction in Patients with Severe Ischemic Cardiomyopathy. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:3483d327-dbab-40ad-80ba-1fe1c46f9003


Delft University of Technology

3. Lelekas, Ioannis (author). Top-Down Networks: A coarse-to-fine reimagination of CNNs.

Degree: 2020, Delft University of Technology

 Biological vision adopts a coarse-to-fine information processing pathway, from initial visual detection and binding of salient features of a visual scene, to the enhanced and… (more)

Subjects/Keywords: Computer Vision; Deep Learning; Convolutional Neural Networks; Top-Down; Fine-to-Coarse; Coarse-to-Fine; Adversarial attacks; Adversarial robustness; Gradcam; Object localization

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APA (6th Edition):

Lelekas, I. (. (2020). Top-Down Networks: A coarse-to-fine reimagination of CNNs. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345

Chicago Manual of Style (16th Edition):

Lelekas, Ioannis (author). “Top-Down Networks: A coarse-to-fine reimagination of CNNs.” 2020. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345.

MLA Handbook (7th Edition):

Lelekas, Ioannis (author). “Top-Down Networks: A coarse-to-fine reimagination of CNNs.” 2020. Web. 10 Apr 2021.

Vancouver:

Lelekas I(. Top-Down Networks: A coarse-to-fine reimagination of CNNs. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345.

Council of Science Editors:

Lelekas I(. Top-Down Networks: A coarse-to-fine reimagination of CNNs. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345


Delft University of Technology

4. Meij, Senna (author). The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings.

Degree: 2019, Delft University of Technology

The operating room is one of the most complex and expensive environments in the hospital. Research has been focusing on improving the efficient use of… (more)

Subjects/Keywords: Deep learning; Image recognition; surgery progress

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APA (6th Edition):

Meij, S. (. (2019). The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:28f96ac7-f5ae-43af-9ba0-14832af5c103

Chicago Manual of Style (16th Edition):

Meij, Senna (author). “The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings.” 2019. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:28f96ac7-f5ae-43af-9ba0-14832af5c103.

MLA Handbook (7th Edition):

Meij, Senna (author). “The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings.” 2019. Web. 10 Apr 2021.

Vancouver:

Meij S(. The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:28f96ac7-f5ae-43af-9ba0-14832af5c103.

Council of Science Editors:

Meij S(. The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:28f96ac7-f5ae-43af-9ba0-14832af5c103


Delft University of Technology

5. Ragunathan, Srinidhi (author). Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics.

Degree: 2019, Delft University of Technology

A study has been conducted on the application of Spherical Harmonics based Statistical Shape Modelling for Image Segmentation. This study is focused on the segmentation… (more)

Subjects/Keywords: Image Segmentation; Statistical Shape Model; Spherical harmonics

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APA (6th Edition):

Ragunathan, S. (. (2019). Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4

Chicago Manual of Style (16th Edition):

Ragunathan, Srinidhi (author). “Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics.” 2019. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4.

MLA Handbook (7th Edition):

Ragunathan, Srinidhi (author). “Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics.” 2019. Web. 10 Apr 2021.

Vancouver:

Ragunathan S(. Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4.

Council of Science Editors:

Ragunathan S(. Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4


Delft University of Technology

6. Undetermined, U. (author). Correlating scored daily anatomical changes to in-vivo EPID dosimetry and cone beam CT based dose calculations: A retrospective study.

Degree: 2017, Delft University of Technology

 At the Antoni van Leeuwenhoek Hospital/Dutch Cancer Institute (NKI-AvL) in Amsterdam, inter-fractional anatomical changes during the course of radiotherapy are monitored using cone beam CT… (more)

Subjects/Keywords: Radiotherapy; epid dosimetry; cone beam CT

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APA (6th Edition):

Undetermined, U. (. (2017). Correlating scored daily anatomical changes to in-vivo EPID dosimetry and cone beam CT based dose calculations: A retrospective study. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b69226f9-c00b-4137-819c-7e6a6ea4aea4

Chicago Manual of Style (16th Edition):

Undetermined, U (author). “Correlating scored daily anatomical changes to in-vivo EPID dosimetry and cone beam CT based dose calculations: A retrospective study.” 2017. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:b69226f9-c00b-4137-819c-7e6a6ea4aea4.

MLA Handbook (7th Edition):

Undetermined, U (author). “Correlating scored daily anatomical changes to in-vivo EPID dosimetry and cone beam CT based dose calculations: A retrospective study.” 2017. Web. 10 Apr 2021.

Vancouver:

Undetermined U(. Correlating scored daily anatomical changes to in-vivo EPID dosimetry and cone beam CT based dose calculations: A retrospective study. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:b69226f9-c00b-4137-819c-7e6a6ea4aea4.

Council of Science Editors:

Undetermined U(. Correlating scored daily anatomical changes to in-vivo EPID dosimetry and cone beam CT based dose calculations: A retrospective study. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:b69226f9-c00b-4137-819c-7e6a6ea4aea4


Delft University of Technology

7. van Hoek, Bob (author). MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine.

Degree: 2019, Delft University of Technology

 Background: For both hospitals and patients it would be beneficial if the scan time of MR images could be reduced. At the moment, Compressed Sensing… (more)

Subjects/Keywords: MRI; Image Reconstruction; Deep Learning; Lesion Simulation

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APA (6th Edition):

van Hoek, B. (. (2019). MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3aa8c68e-3135-4b86-b256-8c853a409960

Chicago Manual of Style (16th Edition):

van Hoek, Bob (author). “MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine.” 2019. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:3aa8c68e-3135-4b86-b256-8c853a409960.

MLA Handbook (7th Edition):

van Hoek, Bob (author). “MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine.” 2019. Web. 10 Apr 2021.

Vancouver:

van Hoek B(. MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:3aa8c68e-3135-4b86-b256-8c853a409960.

Council of Science Editors:

van Hoek B(. MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:3aa8c68e-3135-4b86-b256-8c853a409960


Delft University of Technology

8. 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 (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 April 10, 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. 10 Apr 2021.

Vancouver:

van Wijnen K(. Detecting Perivascular Spaces: a Geodesic Deep Learning Approach. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 10]. 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


Delft University of Technology

9. Versteeg, Edwin (author). Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients.

Degree: 2017, Delft University of Technology

 Stroke is one of the leading causes of both death and disability in the world. Consequently, the processes underlying motor recovery are a hot research… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Diffusion tensor; Tractography

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APA (6th Edition):

Versteeg, E. (. (2017). Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a

Chicago Manual of Style (16th Edition):

Versteeg, Edwin (author). “Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients.” 2017. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a.

MLA Handbook (7th Edition):

Versteeg, Edwin (author). “Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients.” 2017. Web. 10 Apr 2021.

Vancouver:

Versteeg E(. Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a.

Council of Science Editors:

Versteeg E(. Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a


Delft University of Technology

10. 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 (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 April 10, 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. 10 Apr 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 Apr 10]. 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

11. Wu, Yulun (author). Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS.

Degree: 2018, Delft University of Technology

We focused on analysis of long-term medication influenced white matter tracts based on diffusion-weighted MRI brain images of patients with ADHD disorder. We applied a… (more)

Subjects/Keywords: diffusion MRI; DTI; model selection; ADHD disorder; white matter

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APA (6th Edition):

Wu, Y. (. (2018). Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e06f218d-b22b-410c-8041-3199ff0acdaa

Chicago Manual of Style (16th Edition):

Wu, Yulun (author). “Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS.” 2018. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:e06f218d-b22b-410c-8041-3199ff0acdaa.

MLA Handbook (7th Edition):

Wu, Yulun (author). “Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS.” 2018. Web. 10 Apr 2021.

Vancouver:

Wu Y(. Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:e06f218d-b22b-410c-8041-3199ff0acdaa.

Council of Science Editors:

Wu Y(. Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:e06f218d-b22b-410c-8041-3199ff0acdaa


Delft University of Technology

12. Wu, Zhiyi (author). Functional Liver Partition of DCE-MRI.

Degree: 2017, Delft University of Technology

The proposed functional liver segments partition method based on DCE-MRI is introduced in this thesis.

Biomedical Engineering

Advisors/Committee Members: Vos, Frans (mentor), Zhang, Tian (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: functional liver partition; DCE-MRI

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APA (6th Edition):

Wu, Z. (. (2017). Functional Liver Partition of DCE-MRI. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e

Chicago Manual of Style (16th Edition):

Wu, Zhiyi (author). “Functional Liver Partition of DCE-MRI.” 2017. Masters Thesis, Delft University of Technology. Accessed April 10, 2021. http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e.

MLA Handbook (7th Edition):

Wu, Zhiyi (author). “Functional Liver Partition of DCE-MRI.” 2017. Web. 10 Apr 2021.

Vancouver:

Wu Z(. Functional Liver Partition of DCE-MRI. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 10]. Available from: http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e.

Council of Science Editors:

Wu Z(. Functional Liver Partition of DCE-MRI. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e

.