| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Advances in Automated Treatment Planning
|
Nguyen, Dan
|
|
|
32 |
4 |
p. 343-350
|
artikel
|
| 2 |
AI-Augmented Images for X-Ray Guiding Radiation Therapy Delivery
|
Niu, Tianye
|
|
|
32 |
4 |
p. 365-376
|
artikel
|
| 3 |
Artificial Intelligence and Deep Learning for Brachytherapy
|
Jia, Xun
|
|
|
32 |
4 |
p. 389-399
|
artikel
|
| 4 |
Artificial Intelligence for Image Registration in Radiation Oncology
|
Teuwen, Jonas
|
|
|
32 |
4 |
p. 330-342
|
artikel
|
| 5 |
Artificial Intelligence for Outcome Modeling in Radiotherapy
|
Cui, Sunan
|
|
|
32 |
4 |
p. 351-364
|
artikel
|
| 6 |
Artificial Intelligence for Radiation Oncology Applications Using Public Datasets
|
Wahid, Kareem A.
|
|
|
32 |
4 |
p. 400-414
|
artikel
|
| 7 |
Automated Tumor Segmentation in Radiotherapy
|
Savjani, Ricky R.
|
|
|
32 |
4 |
p. 319-329
|
artikel
|
| 8 |
Editorial
|
|
|
|
32 |
4 |
p. 303
|
artikel
|
| 9 |
Ethical Aspects of Artificial Intelligence in Radiation Oncology
|
Lahmi, Lucien
|
|
|
32 |
4 |
p. 442-448
|
artikel
|
| 10 |
Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy
|
Gurney-Champion, Oliver J.
|
|
|
32 |
4 |
p. 377-388
|
artikel
|
| 11 |
Quality Assurance for AI-Based Applications in Radiation Therapy
|
Claessens, Michaël
|
|
|
32 |
4 |
p. 421-431
|
artikel
|
| 12 |
Regulatory Aspects of the Use of Artificial Intelligence Medical Software
|
Zanca, Federica
|
|
|
32 |
4 |
p. 432-441
|
artikel
|
| 13 |
Standardization of Artificial Intelligence Development in Radiotherapy
|
de Biase, Alessia
|
|
|
32 |
4 |
p. 415-420
|
artikel
|
| 14 |
Uncertainty Assessment for Deep Learning Radiotherapy Applications
|
van den Berg, Cornelis A.T.
|
|
|
32 |
4 |
p. 304-318
|
artikel
|
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