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You searched for +publisher:"Delft University of Technology" +contributor:("Denkova, Antonia"). Showing records 1 – 4 of 4 total matches.

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Delft University of Technology

1. Garretsen, Astrid (author). Next-generation neutron capture therapy.

Degree: 2018, Delft University of Technology

 Neutron capture therapy (NCT) is a binary form of radiotherapy that utilizes the high cross section of some nonradioactive elements, in particular boron-10 and gadolinium-157,… (more)

Subjects/Keywords: Neutron capture therapy; Boron; gadolinium

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APA (6th Edition):

Garretsen, A. (. (2018). Next-generation neutron capture therapy. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:810ffad9-5f6b-4e52-a0c6-7f4795e3fa7b

Chicago Manual of Style (16th Edition):

Garretsen, Astrid (author). “Next-generation neutron capture therapy.” 2018. Masters Thesis, Delft University of Technology. Accessed April 20, 2021. http://resolver.tudelft.nl/uuid:810ffad9-5f6b-4e52-a0c6-7f4795e3fa7b.

MLA Handbook (7th Edition):

Garretsen, Astrid (author). “Next-generation neutron capture therapy.” 2018. Web. 20 Apr 2021.

Vancouver:

Garretsen A(. Next-generation neutron capture therapy. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 20]. Available from: http://resolver.tudelft.nl/uuid:810ffad9-5f6b-4e52-a0c6-7f4795e3fa7b.

Council of Science Editors:

Garretsen A(. Next-generation neutron capture therapy. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:810ffad9-5f6b-4e52-a0c6-7f4795e3fa7b


Delft University of Technology

2. Strijbis, Victor (author). Machine learning for knowledge-based dose-volume histogram prediction in prostate cancer.

Degree: 2018, Delft University of Technology

 Introduction:  Despite the vast amount of optimization algorithms, radiotherapy treatment planning remains a manual, time-consuming and iterative process. To increase plan standardization, we clinically use… (more)

Subjects/Keywords: Radiotherapy; Machine learning; Dose-volume histogram; Overlap-volume histogram

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

APA (6th Edition):

Strijbis, V. (. (2018). Machine learning for knowledge-based dose-volume histogram prediction in prostate cancer. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1e4b0e97-1187-4a82-b562-a71b46f61f19

Chicago Manual of Style (16th Edition):

Strijbis, Victor (author). “Machine learning for knowledge-based dose-volume histogram prediction in prostate cancer.” 2018. Masters Thesis, Delft University of Technology. Accessed April 20, 2021. http://resolver.tudelft.nl/uuid:1e4b0e97-1187-4a82-b562-a71b46f61f19.

MLA Handbook (7th Edition):

Strijbis, Victor (author). “Machine learning for knowledge-based dose-volume histogram prediction in prostate cancer.” 2018. Web. 20 Apr 2021.

Vancouver:

Strijbis V(. Machine learning for knowledge-based dose-volume histogram prediction in prostate cancer. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 20]. Available from: http://resolver.tudelft.nl/uuid:1e4b0e97-1187-4a82-b562-a71b46f61f19.

Council of Science Editors:

Strijbis V(. Machine learning for knowledge-based dose-volume histogram prediction in prostate cancer. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:1e4b0e97-1187-4a82-b562-a71b46f61f19


Delft University of Technology

3. Briggeman, Ilja (author). Novel automated treatment planning approaches to deal with microscopic disease in radiotherapy.

Degree: 2020, Delft University of Technology

 The scope of a radiotherapy treatment is to induce damage to tumor cells by irradiating them with ionizing radiation. The radiation should target the tumor… (more)

Subjects/Keywords: radiotherapy; CTV margin; microscopic disease; tumor

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

APA (6th Edition):

Briggeman, I. (. (2020). Novel automated treatment planning approaches to deal with microscopic disease in radiotherapy. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:140e8df1-2ec0-474b-b1e6-8b817e05e4f6

Chicago Manual of Style (16th Edition):

Briggeman, Ilja (author). “Novel automated treatment planning approaches to deal with microscopic disease in radiotherapy.” 2020. Masters Thesis, Delft University of Technology. Accessed April 20, 2021. http://resolver.tudelft.nl/uuid:140e8df1-2ec0-474b-b1e6-8b817e05e4f6.

MLA Handbook (7th Edition):

Briggeman, Ilja (author). “Novel automated treatment planning approaches to deal with microscopic disease in radiotherapy.” 2020. Web. 20 Apr 2021.

Vancouver:

Briggeman I(. Novel automated treatment planning approaches to deal with microscopic disease in radiotherapy. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 20]. Available from: http://resolver.tudelft.nl/uuid:140e8df1-2ec0-474b-b1e6-8b817e05e4f6.

Council of Science Editors:

Briggeman I(. Novel automated treatment planning approaches to deal with microscopic disease in radiotherapy. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:140e8df1-2ec0-474b-b1e6-8b817e05e4f6


Delft University of Technology

4. van Aert, Emy (author). Gel dosimetry for a MR-linac: magnetic field and time dependency.

Degree: 2020, Delft University of Technology

 The goal of this research was to perform a 3D end-to-end test on a MR-linac to check the whole workflow using a clinical treatment plan.… (more)

Subjects/Keywords: gel dosimetry; MR-linac; magnetic field

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

APA (6th Edition):

van Aert, E. (. (2020). Gel dosimetry for a MR-linac: magnetic field and time dependency. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4408f7c6-d16f-4cab-90c0-60dbf03d8a27

Chicago Manual of Style (16th Edition):

van Aert, Emy (author). “Gel dosimetry for a MR-linac: magnetic field and time dependency.” 2020. Masters Thesis, Delft University of Technology. Accessed April 20, 2021. http://resolver.tudelft.nl/uuid:4408f7c6-d16f-4cab-90c0-60dbf03d8a27.

MLA Handbook (7th Edition):

van Aert, Emy (author). “Gel dosimetry for a MR-linac: magnetic field and time dependency.” 2020. Web. 20 Apr 2021.

Vancouver:

van Aert E(. Gel dosimetry for a MR-linac: magnetic field and time dependency. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 20]. Available from: http://resolver.tudelft.nl/uuid:4408f7c6-d16f-4cab-90c0-60dbf03d8a27.

Council of Science Editors:

van Aert E(. Gel dosimetry for a MR-linac: magnetic field and time dependency. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:4408f7c6-d16f-4cab-90c0-60dbf03d8a27

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