Detalhe da pesquisa
1.
Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks.
Eur Radiol
; 33(9): 6020-6032, 2023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-37071167
2.
Response heterogeneity as a new biomarker of treatment response in patients with neuroendocrine tumors.
Future Oncol
; 19(32): 2171-2183, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37497626
3.
The use of deep learning models to predict progression-free survival in patients with neuroendocrine tumors.
Future Oncol
; 19(32): 2185-2199, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37497644
4.
Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network.
Eur J Nucl Med Mol Imaging
; 48(5): 1362-1370, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33097974
5.
Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.
Eur Radiol
; 30(6): 3528-3537, 2020 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-32055950
6.
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.
Med Image Anal
; 97: 103230, 2024 Jun 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-38875741
7.
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.
Nat Commun
; 12(1): 634, 2021 01 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-33504775
8.
Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.
Sci Rep
; 9(1): 10351, 2019 07 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-31316157