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1.
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
Radiology
; 310(2): e231319, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38319168
2.
Role of radiomic analysis of [18F]fluoromethylcholine PET/CT in predicting biochemical recurrence in a cohort of intermediate and high risk prostate cancer patients at initial staging.
Eur Radiol
; 33(10): 7199-7208, 2023 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-37079030
3.
A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools.
Radiology
; 303(3): 533-541, 2022 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-35230182
4.
Limiting treatment plan complexity by applying a novel commercial tool.
J Appl Clin Med Phys
; 21(8): 27-34, 2020 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-32436656
5.
A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools.
Radiology
; 303(2): E30, 2022 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-35468022
6.
Additional Value of PET and CT Image-Based Features in the Detection of Occult Lymph Node Metastases in Lung Cancer: A Systematic Review of the Literature.
Diagnostics (Basel)
; 13(13)2023 Jun 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-37443547
7.
Dosiomic-based prediction of dysgeusia in head & neck cancer patients treated with radiotherapy.
Radiother Oncol
; 188: 109896, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-37660751
8.
Prediction models as decision-support tools for virtual patient-specific quality assurance of helical tomotherapy plans.
Phys Imaging Radiat Oncol
; 26: 100435, 2023 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-37089905
9.
Prognostic value of preoperative CT scan derived body composition measures in resected pancreatic cancer.
Eur J Surg Oncol
; 2023 Feb 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-36863915
10.
Sarcopenia and Patient's Body Composition: New Morphometric Tools to Predict Clinical Outcome After Ivor Lewis Esophagectomy: a Multicenter Study.
J Gastrointest Surg
; 27(6): 1047-1054, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-36750544
11.
The ImSURE phantoms: a digital dataset for radiomic software benchmarking and investigation.
Sci Data
; 9(1): 695, 2022 11 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36371503
12.
Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset.
Sci Rep
; 12(1): 14132, 2022 08 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-35986072
13.
Image-derived Input Function in brain [18F]FDG PET data: which alternatives to the carotid siphons?
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 243-246, 2022 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-36085666
14.
Additional Value of PET Radiomic Features for the Initial Staging of Prostate Cancer: A Systematic Review from the Literature.
Cancers (Basel)
; 13(23)2021 Nov 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-34885135
15.
Exploratory Analysis of 18F-3'-deoxy-3'-fluorothymidine (18F-FLT) PET/CT-Based Radiomics for the Early Evaluation of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer.
Front Oncol
; 11: 601053, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34249671
16.
Technical Note: An IBEX adaption toward image biomarker standardization.
Med Phys
; 47(3): 1167-1173, 2020 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-31830303
17.
Typical values for pediatric interventional cardiology catheterizations: A standardized approach towards Diagnostic Reference Level establishment.
Phys Med
; 76: 134-141, 2020 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-32673825
18.
Impact of acquisition count statistics reduction and SUV discretization on PET radiomic features in pediatric 18F-FDG-PET/MRI examinations.
Phys Med
; 59: 117-126, 2019 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-30928060
19.
Author Correction: Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset.
Sci Rep
; 13(1): 17561, 2023 Oct 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-37845291
20.
Simulation and optimization models for emergency medical systems planning.
J Emerg Manag
; 12(4): 287-301, 2014.
Artículo
en Inglés
| MEDLINE | ID: mdl-25069023