Detalhe da pesquisa
1.
Radiomic signatures of meningiomas using the Ki-67 proliferation index as a prognostic marker of clinical outcomes.
Neurosurg Focus
; 54(6): E17, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-37552657
2.
A Multidimensional Neural Maturation Index Reveals Reproducible Developmental Patterns in Children and Adolescents.
J Neurosci
; 40(6): 1265-1275, 2020 02 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-31896669
3.
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
Neuroimage
; 220: 117081, 2020 10 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-32603860
4.
Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach.
Sci Rep
; 14(1): 4922, 2024 02 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-38418494
5.
Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments.
Brainlesion
; 12962: 151-167, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36331281
6.
Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features.
Sci Data
; 9(1): 338, 2022 06 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-35701399
7.
The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research.
Phys Med Biol
; 67(20)2022 10 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36137534
8.
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma.
Sci Rep
; 12(1): 8784, 2022 05 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-35610333
9.
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics.
Sci Data
; 9(1): 453, 2022 07 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35906241
10.
Federated learning enables big data for rare cancer boundary detection.
Nat Commun
; 13(1): 7346, 2022 12 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36470898
11.
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.
J Mach Learn Biomed Imaging
; 20222022 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-36998700
12.
Quantification of tumor microenvironment acidity in glioblastoma using principal component analysis of dynamic susceptibility contrast enhanced MR imaging.
Sci Rep
; 11(1): 15011, 2021 07 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-34294864
13.
Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas.
Neurosurgery
; 89(5): 928-936, 2021 10 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-34460921
14.
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.
Proc SPIE Int Soc Opt Eng
; 113152020 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-33746333
15.
Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities.
J Med Imaging (Bellingham)
; 7(3): 031505, 2020 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-32566694
16.
Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.
Med Phys
; 47(12): 6039-6052, 2020 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-33118182
17.
Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk).
Neurooncol Adv
; 2(Suppl 4): iv22-iv34, 2020 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-33521638
18.
Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma.
JCO Clin Cancer Inform
; 4: 234-244, 2020 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-32191542
19.
Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.
Brainlesion
; 11992: 57-68, 2019 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-32577629
20.
Author Correction: Federated learning enables big data for rare cancer boundary detection.
Nat Commun
; 14(1): 436, 2023 Jan 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-36702828