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1.
Longitudinal head-to-head comparison of 11C-PiB and 18F-florbetapir PET in a Phase 2/3 clinical trial of anti-amyloid-ß monoclonal antibodies in dominantly inherited Alzheimer's disease.
Eur J Nucl Med Mol Imaging;
50(9): 2669-2682, 2023 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-37017737
2.
Radiomics of 18F-FDG PET/CT images predicts clinical benefit of advanced NSCLC patients to checkpoint blockade immunotherapy.
Eur J Nucl Med Mol Imaging;
47(5): 1168-1182, 2020 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-31807885
3.
Tau as a diagnostic instrument in clinical trials to predict amyloid in Alzheimer's disease.
Alzheimers Dement (N Y);
9(3): e12415, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37600216
4.
Volume doubling time and radiomic features predict tumor behavior of screen-detected lung cancers.
Cancer Biomark;
33(4): 489-501, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35491768
5.
Application of Radiomics and Artificial Intelligence for Lung Cancer Precision Medicine.
Cold Spring Harb Perspect Med;
11(8)2021 08 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33431509
6.
Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.
J Immunother Cancer;
9(6)2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-34135101
7.
Hypoxia-Related Radiomics and Immunotherapy Response: A Multicohort Study of Non-Small Cell Lung Cancer.
JNCI Cancer Spectr;
5(4)2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34409252
8.
Radiomics of 18F Fluorodeoxyglucose PET/CT Images Predicts Severe Immune-related Adverse Events in Patients with NSCLC.
Radiol Artif Intell;
2(1): e190063, 2020 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-33937811
9.
Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening.
Sci Rep;
10(1): 10528, 2020 06 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-32601340
10.
Non-invasive decision support for NSCLC treatment using PET/CT radiomics.
Nat Commun;
11(1): 5228, 2020 10 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-33067442
11.
Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions.
Med Phys;
46(11): 5075-5085, 2019 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-31494946
12.
Novel clinical and radiomic predictors of rapid disease progression phenotypes among lung cancer patients treated with immunotherapy: An early report.
Lung Cancer;
129: 75-79, 2019 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-30797495
13.
Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients.
Oncotarget;
8(56): 96013-96026, 2017 Nov 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-29221183
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