The role of radiomics in prostate cancer radiotherapy.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 900, doi. 10.1007/s00066-020-01679-9
- By:
- Publication type:
- Article
Works matching IS 01797158 AND DT 2020 AND VI 196 AND IP 10
Results: 15
1
2
Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 943, doi. 10.1007/s00066-020-01677-x
- By:
- Publication type:
- Article
3
Artificial intelligence and radiomics for radiation oncology.
- Published in:
- 2020
- By:
- Publication type:
- Editorial
4
Radiomics in radiation oncology—basics, methods, and limitations.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 848, doi. 10.1007/s00066-020-01663-3
- By:
- Publication type:
- Article
5
Unterschiede in der Lebensqualität über 5 Jahre nach Therapie des lokal begrenzten Prostatakarzinoms mit verschiedenen Behandlungsoptionen.
- Published in:
- 2020
- By:
- Publication type:
- Book Review
6
Vielversprechende Langzeitergebnisse zum Einsatz von Anastrozol zur Prävention von Brustkrebs bei postmenopausalen Hochrisikopatientinnen.
- Published in:
- 2020
- By:
- Publication type:
- Book Review
7
Die Herzmortalität nach Strahlentherapie, Chemotherapie und endokriner Therapie des Mammakarzinoms.
- Published in:
- 2020
- By:
- Publication type:
- Book Review
8
Einfluss der Behandlungscompliance auf den Erfolg der Radiochemotherapie des Analkarzinoms.
- Published in:
- 2020
- By:
- Publication type:
- Book Review
9
Radiomic biomarkers for head and neck squamous cell carcinoma.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 868, doi. 10.1007/s00066-020-01638-4
- By:
- Publication type:
- Article
10
Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 856, doi. 10.1007/s00066-020-01626-8
- By:
- Publication type:
- Article
11
Radiomics and deep learning in lung cancer.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 879, doi. 10.1007/s00066-020-01625-9
- By:
- Publication type:
- Article
12
Segmentation of prostate and prostate zones using deep learning: A multi-MRI vendor analysis.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 932, doi. 10.1007/s00066-020-01607-x
- By:
- Publication type:
- Article
13
Magnetic resonance imaging-based radiomic features for extrapolating infiltration levels of immune cells in lower-grade gliomas.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 913, doi. 10.1007/s00066-020-01584-1
- By:
- Publication type:
- Article
14
A radiomic approach to predicting nodal relapse and disease-specific survival in patients treated with stereotactic body radiation therapy for early-stage non-small cell lung cancer.
- Published in:
- 2020
- By:
- Publication type:
- journal article
15
Radiomics for liver tumours.
- Published in:
- Strahlentherapie und Onkologie, 2020, v. 196, n. 10, p. 888, doi. 10.1007/s00066-020-01615-x
- By:
- Publication type:
- Article