31
TITLE: Prediction of pathological response after neoadjuvant chemotherapy using baseline FDG PET heterogeneity features in breast cancer
AUTHORS: Oliveira, Carla; Oliveira, Francisco; Vaz, Sofia C.; Marques, Hugo Pinto; Cardoso, Fatima;
PUBLISHED: 2023, SOURCE: BRITISH JOURNAL OF RADIOLOGY, VOLUME: 96, ISSUE: 1146
INDEXED IN: Scopus WOS CrossRef: 6
IN MY: ORCID
32
TITLE: On the Influence of Binder Material in PCBN Cutting Tools for Turning Operations of Inconel 718
AUTHORS: Matos, Francisco; Silva, Tiago E. F.; Sousa, Vitor F. C.; Marques, Francisco; Figueiredo, Daniel; Silva, Francisco J. G.; Jesus, Abilio M. P. de ;
PUBLISHED: 2023, SOURCE: METALS, VOLUME: 13, ISSUE: 5
INDEXED IN: Scopus WOS CrossRef: 1
33
TITLE: Machinability assessment of Inconel 718 turning using PCBN cutting tools
AUTHORS: Matos, F; Silva, TEF; Marques, F; Figueiredo, D; Rosa, PAR; De Jesus, AMP ;
PUBLISHED: 2023, SOURCE: 19th CIRP Conference on Modeling of Machining Operations, CMMO 2023 in Procedia CIRP, VOLUME: 117
INDEXED IN: Scopus CrossRef: 3
34
TITLE: Urinary continence recovery after Retzius-sparing robot-assisted radical prostatectomy in relation to surgeon experience
AUTHORS: Fonseca, Jorge; Froes, Goncalo; Moraes Fontes, Maria Francisca; Rebola, Jorge; Lucio, Rui; Almeida, Miguel; Muresan, Ciprian; Palmas, Artur; Gaivao, Ana; Matos, Celso; Santos, Tiago; Dias, Daniela; Sousa, Ines; Oliveira, Francisco; Ribeiro, Ricardo; Lopez Beltran, Antonio; Fraga, Avelino;
PUBLISHED: 2023, SOURCE: JOURNAL OF ROBOTIC SURGERY, VOLUME: 17, ISSUE: 5
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
35
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
IN MY: ORCID
36
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
IN MY: ORCID
37
TITLE: Deep learning-based fully automatic segmentation of whole-body [18F]FDG PET/CT images from lymphoma patients: addition of CT data has poor impact on networks performance  Full Text
AUTHORS: Constantino, C. S.; Oliveira, F. P. M.; Leocadio, S.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, A. ; Vaz, S.; Teixeira, R.; Neves, M.; Lucio, P.; Joao, C.; Vinga, S.; 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
IN MY: ORCID
38
TITLE: A radiation exposure comparison between manual and automated setups during GALLIUM-68 peptide labelling  Full Text
AUTHORS: Costa, M.; Parafita, R.; Canudo, A.; Capacho, A.; Silva, F.; Delgado, H.; Correia, J.; Correia, M.; Silva, M.; Andrade, M.; Machado, M.; Ferreira, P.; Ferreira, P. H.; Oliveira, R.; Batanete, S.; Teixeira, S.; Vieira, V.; Oliveira, F.; Costa, D.;
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
IN MY: ORCID
39
TITLE: "In house" radiolabeling of anti-PD-L1 monoclonal antibodies with 111-Indium for in vivo imaging  Full Text
AUTHORS: Silva, F.; Lopes, R.; Capacho, A. S.; Fortunato, M.; Vaz, S.; Oliveira, F.; Joao, C.; Costa, D.;
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
IN MY: ORCID
40
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
IN MY: ORCID
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