1
TITLE: Targeted radionuclide therapy directed to the tumor phenotypes: A dosimetric approach using MC simulations  Full Text
AUTHORS: Borbinha, Jorge; Ferreira, Paulo; Costa, Durval; Vaz, Pedro; Di Maria, Salvatore;
PUBLISHED: 2023, SOURCE: APPLIED RADIATION AND ISOTOPES, VOLUME: 192
INDEXED IN: Scopus WOS
2
TITLE: Striatal dopamine D2-like receptors availability in obesity and its modulation by bariatric surgery: a systematic review and meta-analysis  Full Text
AUTHORS: Ribeiro, Gabriela; Maia, Ana; Cotovio, Goncalo; Oliveira, Francisco P. M.; Costa, Durval C.; Oliveira Maia, Albino J.;
PUBLISHED: 2023, SOURCE: SCIENTIFIC REPORTS, VOLUME: 13, ISSUE: 1
INDEXED IN: Scopus WOS
4
TITLE: Evaluation of Semiautomatic and Deep Learning-Based Fully Automatic Segmentation Methods on [F-18]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization  Full Text
AUTHORS: Constantino, Claudia S.; Leocadio, Sonia; Oliveira, Francisco P. M.; Silva, Mariana; Oliveira, Carla; Castanheira, Joana C.; Silva, Angelo; Vaz, Sofia; Teixeira, Ricardo; Neves, Manuel; Lucio, Paulo; Joao, Cristina; Costa, Durval C.;
PUBLISHED: 2023, SOURCE: JOURNAL OF DIGITAL IMAGING
INDEXED IN: Scopus WOS
5
TITLE: Feasibility and reproducibility of radiomic features in real world whole-body [<SUP>18</SUP>F]FDG PET/CT oncology studies  Full Text
AUTHORS: Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Costa, D. C.;
PUBLISHED: 2023, SOURCE: Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, VOLUME: 50, ISSUE: SUPPL 1
INDEXED IN: WOS
6
TITLE: Image quantitative parameters using deep learning-based denoising of ultra-fast whole-body [18F]FDG PET/ CT are comparable to standard acquisitions  Full Text
AUTHORS: Silva, L. C.; Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Vigario, R.; Costa, D. C.;
PUBLISHED: 2023, SOURCE: Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, VOLUME: 50, ISSUE: SUPPL 1
INDEXED IN: WOS
7
TITLE: Primary tumour type impacts 3D U-Net for [<SUP>18</SUP>F]FDG PET lesion segmentation performance in cases of lung cancer, melanoma, and lymphoma  Full Text
AUTHORS: Sobral, M.; Silva, Filipa VM; Constantino, C.; Oliveira, F.; Matela, N.; Costa, D. C.;
PUBLISHED: 2023, SOURCE: Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, VOLUME: 50, ISSUE: SUPPL 1
INDEXED IN: WOS
8
TITLE: Deep learning is a promising tool for fully automatic malignant lesions identification and segmentation in whole-body bone scans  Full Text
AUTHORS: Oliveira, F.; Silva, A.; Castanheira, J.; Silva, M.; Constantino, C.; Costa, D. C.;
PUBLISHED: 2023, SOURCE: Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, VOLUME: 50, ISSUE: SUPPL 1
INDEXED IN: WOS
10
TITLE: Quantification of patient's tumor burden for the differentiation of lymphomas with [F-18]FDG PET images  Full Text
AUTHORS: Constantino, C. S.; Leocadio, S.; Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, A.; Vaz, S.; Teixeira, R.; Neves, M.; Lucio, P.; Joao, C.; Costa, D. C.;
PUBLISHED: 2022, SOURCE: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, VOLUME: 49, ISSUE: SUPPL 1
INDEXED IN: WOS
Page 1 of 6. Total results: 54.