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1.
Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI.
Acta Oncol;
61(1): 89-96, 2022 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-34783610
2.
MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts.
Acta Oncol;
61(2): 255-263, 2022 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-34918621
3.
Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics.
Front Med (Lausanne);
11: 1421603, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38813378
4.
Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning.
Front Vet Sci;
10: 1143986, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37026102
5.
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics.
Front Med (Lausanne);
10: 1217037, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37711738
6.
A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers.
Phys Med Biol;
66(6): 065012, 2021 03 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-33666176
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