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1.
Leveraging radiomics and machine learning to differentiate radiation necrosis from recurrence in patients with brain metastases.
J Neurooncol
; 168(2): 307-316, 2024 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-38689115
2.
Evaluation of plasma and urine neutrophil gelatinase-associated lipocalin (NGAL) as an early diagnostic marker of acute kidney injury (AKI) in critically ill trauma patients.
J Anaesthesiol Clin Pharmacol
; 39(2): 292-301, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37564858
3.
Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters.
J Magn Reson Imaging
; 54(3): 1009-1021, 2021 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-33860966
4.
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas.
Radiology
; 290(3): 783-792, 2019 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-30561278
5.
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
Breast Cancer Res
; 19(1): 57, 2017 05 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-28521821
6.
Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
Eur Radiol
; 27(10): 4188-4197, 2017 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-27778090
7.
Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.
BMC Med Imaging
; 17(1): 2, 2017 01 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-28056889
8.
Tumor Volume Growth Rates and Doubling Times during Active Surveillance of IDH-mutant Low-Grade Glioma.
Clin Cancer Res
; 30(1): 106-115, 2024 01 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-37910594
9.
Opportunities and Advances in Radiomics and Radiogenomics for Pediatric Medulloblastoma Tumors.
Diagnostics (Basel)
; 13(17)2023 Aug 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-37685265
10.
Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
Breast Cancer Res
; 19(1): 80, 2017 07 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-28693537
11.
Erratum to: Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
Eur Radiol
; 27(10): 4198-4199, 2017 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-28608160
12.
CNN Based Multiclass Brain Tumor Detection Using Medical Imaging.
Comput Intell Neurosci
; 2022: 1830010, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35774437
13.
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.
IEEE J Biomed Health Inform
; 26(6): 2627-2636, 2022 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-35085099
14.
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
IEEE Trans Med Imaging
; 41(7): 1764-1777, 2022 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-35108202
15.
Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study.
Front Oncol
; 12: 915143, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36620600
16.
Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma.
Neuro Oncol
; 23(2): 251-263, 2021 02 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-33068415
17.
Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges.
Neurooncol Adv
; 2(Suppl 4): iv3-iv14, 2020 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-33521636
18.
Tumor Habitat-derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study.
Radiol Artif Intell
; 2(6): e190168, 2020 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-33330847
19.
Technical Note: MRQy - An open-source tool for quality control of MR imaging data.
Med Phys
; 47(12): 6029-6038, 2020 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-33176026
20.
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?-A Feasibility Study.
Front Comput Neurosci
; 14: 563439, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33381018