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
em Inglês
| MEDLINE
| ID: mdl-38319168
2.
Outcomes and potential impact of a virtual hands-on training program on MRI staging confidence and performance in rectal cancer.
Eur Radiol;
34(3): 1746-1754, 2024 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37646807
3.
External validation of an MR-based radiomic model predictive of locoregional control in oropharyngeal cancer.
Eur Radiol;
33(4): 2850-2860, 2023 Apr.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36460924
4.
Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer.
Eur Radiol;
33(12): 8889-8898, 2023 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37452176
5.
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility.
Eur Radiol;
32(3): 1506-1516, 2022 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34655313
6.
Studying local tumour heterogeneity on MRI and FDG-PET/CT to predict response to neoadjuvant chemoradiotherapy in rectal cancer.
Eur Radiol;
31(9): 7031-7038, 2021 Sep.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33569624
7.
Value of combined multiparametric MRI and FDG-PET/CT to identify well-responding rectal cancer patients before the start of neoadjuvant chemoradiation.
Eur Radiol;
30(5): 2945-2954, 2020 May.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32034488
8.
A Pattern-Based Approach Combining Tumor Morphology on MRI With Distinct Signal Patterns on Diffusion-Weighted Imaging to Assess Response of Rectal Tumors After Chemoradiotherapy.
Dis Colon Rectum;
61(3): 328-337, 2018 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29369900
9.
Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers?
Eur J Radiol;
172: 111346, 2024 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38309217
10.
Evolutions in rectal cancer MRI staging and risk stratification in The Netherlands.
Abdom Radiol (NY);
47(1): 38-47, 2022 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34605966
11.
A decade of multi-modality PET and MR imaging in abdominal oncology.
Br J Radiol;
94(1126): 20201351, 2021 Oct 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34387508
12.
Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer.
Abdom Radiol (NY);
45(3): 632-643, 2020 03.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31734709
13.
Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC.
PLoS One;
13(11): e0206108, 2018.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30388114
14.
Biochemical recurrence prediction after radiotherapy for prostate cancer with T2w magnetic resonance imaging radiomic features.
Phys Imaging Radiat Oncol;
7: 9-15, 2018 Jul.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33458399
15.
Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR.
Sci Rep;
8(1): 2589, 2018 02 02.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29396399
16.
Gas-induced susceptibility artefacts on diffusion-weighted MRI of the rectum at 1.5â¯T - Effect of applying a micro-enema to improve image quality.
Eur J Radiol;
99: 131-137, 2018 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29362144
17.
Computational Radiomics System to Decode the Radiographic Phenotype.
Cancer Res;
77(21): e104-e107, 2017 11 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29092951
18.
Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR.
Sci Rep;
7(1): 5301, 2017 07 13.
Artigo
em Inglês
| MEDLINE
| ID: mdl-28706185
19.
Automated and Semiautomated Segmentation of Rectal Tumor Volumes on Diffusion-Weighted MRI: Can It Replace Manual Volumetry?
Int J Radiat Oncol Biol Phys;
94(4): 824-31, 2016 Mar 15.
Artigo
em Inglês
| MEDLINE
| ID: mdl-26972655