Detalhe da pesquisa
1.
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
Radiology
; 310(2): e231319, 2024 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-38319168
2.
Multicentric development and evaluation of [18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy.
Eur J Nucl Med Mol Imaging
; 51(4): 1097-1108, 2024 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-37987783
3.
Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: investigating ComBat strategies, sub-volume characterization, and automatic segmentation.
Eur J Nucl Med Mol Imaging
; 50(6): 1720-1734, 2023 05.
Artigo
Inglês
| MEDLINE | ID: mdl-36690882
4.
Multicentric development and evaluation of 18F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer.
Eur J Nucl Med Mol Imaging
; 50(8): 2514-2528, 2023 07.
Artigo
Inglês
| MEDLINE | ID: mdl-36892667
5.
The added value of PSMA PET/MR radiomics for prostate cancer staging.
Eur J Nucl Med Mol Imaging
; 49(2): 527-538, 2022 01.
Artigo
Inglês
| MEDLINE | ID: mdl-34255130
6.
Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study.
Eur Radiol
; 32(1): 405-414, 2022 Jan.
Artigo
Inglês
| MEDLINE | ID: mdl-34170367
7.
Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer?
Methods
; 188: 73-83, 2021 04.
Artigo
Inglês
| MEDLINE | ID: mdl-33197567
8.
[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation.
Eur J Nucl Med Mol Imaging
; 48(11): 3432-3443, 2021 10.
Artigo
Inglês
| MEDLINE | ID: mdl-33772334
9.
Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting.
Eur J Nucl Med Mol Imaging
; 48(11): 3444-3456, 2021 10.
Artigo
Inglês
| MEDLINE | ID: mdl-33772335
10.
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.
Radiology
; 295(2): 328-338, 2020 05.
Artigo
Inglês
| MEDLINE | ID: mdl-32154773
11.
Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.
Eur J Nucl Med Mol Imaging
; 46(13): 2630-2637, 2019 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-31280350
12.
External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy.
Eur J Nucl Med Mol Imaging
; 46(4): 864-877, 2019 Apr.
Artigo
Inglês
| MEDLINE | ID: mdl-30535746
13.
Machine learning for radiomics-based multimodality and multiparametric modeling.
Q J Nucl Med Mol Imaging
; 63(4): 323-338, 2019 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-31527580
14.
"Fuzzy" radiomics: the way forward for nuclear medicine imaging applications?
Eur J Nucl Med Mol Imaging
; 50(6): 1558-1559, 2023 05.
Artigo
Inglês
| MEDLINE | ID: mdl-36951992
15.
Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method.
Eur J Nucl Med Mol Imaging
; 45(4): 630-641, 2018 04.
Artigo
Inglês
| MEDLINE | ID: mdl-29177871
16.
Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy.
Eur J Nucl Med Mol Imaging
; 45(5): 768-786, 2018 05.
Artigo
Inglês
| MEDLINE | ID: mdl-29222685
17.
FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer.
Eur J Nucl Med Mol Imaging
; 45(3): 365-375, 2018 03.
Artigo
Inglês
| MEDLINE | ID: mdl-29046927
18.
Characterization of PET/CT images using texture analysis: the past, the present any future?
Eur J Nucl Med Mol Imaging
; 44(1): 151-165, 2017 Jan.
Artigo
Inglês
| MEDLINE | ID: mdl-27271051
19.
Haralick textural features on T2 -weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer.
J Magn Reson Imaging
; 45(1): 103-117, 2017 01.
Artigo
Inglês
| MEDLINE | ID: mdl-27345946
20.
Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-III.
Eur J Nucl Med Mol Imaging
; 43(8): 1477-85, 2016 Jul.
Artigo
Inglês
| MEDLINE | ID: mdl-26896298