Found: 16
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Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation.
- Published in:
- European Radiology, 2024, v. 34, n. 10, p. 6701, doi. 10.1007/s00330-024-10751-2
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- Publication type:
- Article
Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.
- Published in:
- Medical Physics, 2017, v. 44, n. 12, p. 6341, doi. 10.1002/mp.12593
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- Publication type:
- Article
The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on <sup>18</sup>F-PSMA-1007 PET.
- Published in:
- Radiation Oncology, 2024, v. 19, n. 1, p. 1, doi. 10.1186/s13014-024-02491-w
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- Publication type:
- Article
Visualization of 4D multimodal imaging data and its applications in radiotherapy planning.
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- Journal of Applied Clinical Medical Physics, 2017, v. 18, n. 6, p. 183, doi. 10.1002/acm2.12209
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- Publication type:
- Article
3 Tesla multiparametric MRI for GTV-definition of Dominant Intraprostatic Lesions in patients with Prostate Cancer – an interobserver variability study.
- Published in:
- Radiation Oncology, 2013, v. 8, n. 1, p. 1, doi. 10.1186/1748-717X-8-183
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- Publication type:
- Article
3 Tesla multiparametric MRI for GTV-definition of Dominant Intraprostatic Lesions in patients with Prostate Cancer--an interobserver variability study.
- Published in:
- 2013
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- Publication type:
- journal article
Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic features.
- Published in:
- EJNMMI Physics, 2021, v. 8, n. 1, p. 1, doi. 10.1186/s40658-021-00390-7
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- Publication type:
- Article
18 F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy.
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- Cancers, 2021, v. 13, n. 14, p. 3449, doi. 10.3390/cancers13143449
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- Publication type:
- Article
FDG-PET Radiomics for Response Monitoring in Non-Small-Cell Lung Cancer Treated with Radiation Therapy.
- Published in:
- Cancers, 2021, v. 13, n. 4, p. 814, doi. 10.3390/cancers13040814
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- Publication type:
- Article
MRI versus Ga-PSMA PET/CT for gross tumour volume delineation in radiation treatment planning of primary prostate cancer.
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- European Journal of Nuclear Medicine & Molecular Imaging, 2016, v. 43, n. 5, p. 889, doi. 10.1007/s00259-015-3257-5
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- Publication type:
- Article
Intraprostatic Tumour Segmentation on PSMA-PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 12, p. 1, doi. 10.2967/jnumed.120.254623
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- Publication type:
- Article
Intraprostatic Tumour Segmentation on PSMA-PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 11, p. 1, doi. 10.2967/jnumed.120.254623
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- Publication type:
- Article
Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies.
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- Theranostics, 2021, v. 11, n. 16, p. 8027, doi. 10.7150/thno.61207
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- Publication type:
- Article
Dosimetric Impact of the Positional Imaging Frequency for Hypofractionated Prostate Radiotherapy – A Voxel-by-Voxel Analysis.
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- Frontiers in Oncology, 2020, v. 10, p. N.PAG, doi. 10.3389/fonc.2020.564068
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- Publication type:
- Article
Dosimetric Impact of Interfractional Variations for Post-prostatectomy Radiotherapy to the Prostatic Fossa—Relevance for the Frequency of Position Verification Imaging and Treatment Adaptation.
- Published in:
- Frontiers in Oncology, 2019, v. 9, p. 1, doi. 10.3389/fonc.2019.01191
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- Publication type:
- Article
Dosimetric Impact of Interfractional Variations in Prostate Cancer Radiotherapy—Implications for Imaging Frequency and Treatment Adaptation.
- Published in:
- Frontiers in Oncology, 2019, p. 1, doi. 10.3389/fonc.2019.00940
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- Publication type:
- Article