Found: 19
Select item for more details and to access through your institution.
Multiparametric MRI-based VI-RADS: can it predict 1- to 5-year recurrence of bladder cancer?
- Published in:
- European Radiology, 2024, v. 34, n. 5, p. 3034, doi. 10.1007/s00330-023-10387-8
- By:
- Publication type:
- Article
Radiomics-based T-staging of hollow organ cancers.
- Published in:
- Frontiers in Oncology, 2023, p. 1, doi. 10.3389/fonc.2023.1191519
- By:
- Publication type:
- Article
Intratumoral and peritumoral CT-based radiomics strategy reveals distinct subtypes of non-small-cell lung cancer.
- Published in:
- Journal of Cancer Research & Clinical Oncology, 2022, v. 148, n. 9, p. 2247, doi. 10.1007/s00432-022-04015-z
- By:
- Publication type:
- Article
PIxel-Level Segmentation of Bladder Tumors on MR Images Using a Random Forest Classifier.
- Published in:
- Technology in Cancer Research & Treatment, 2022, v. 21, p. 1, doi. 10.1177/15330338221086395
- By:
- Publication type:
- Article
Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer.
- Published in:
- Frontiers in Oncology, 2021, v. 11, p. 1, doi. 10.3389/fonc.2021.704039
- By:
- Publication type:
- Article
Editorial for "Combined Hepatocellular-Cholangiocarcinoma: MRI Features and Prognosis According to Risk Factors for Hepatocellular Carcinoma".
- Published in:
- 2021
- By:
- Publication type:
- editorial
The invasion depth measurement of bladder cancer using T2-weighted magnetic resonance imaging.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Survival-relevant high-risk subregion identification for glioblastoma patients: the MRI-based multiple instance learning approach.
- Published in:
- European Radiology, 2020, v. 30, n. 10, p. 5602, doi. 10.1007/s00330-020-06912-8
- By:
- Publication type:
- Article
Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach.
- Published in:
- Frontiers in Neuroscience, 2020, p. 1, doi. 10.3389/fnins.2020.00191
- By:
- Publication type:
- Article
Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer.
- Published in:
- 2020
- By:
- Publication type:
- journal article
A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors.
- Published in:
- 2019
- By:
- Publication type:
- journal article
A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival.
- Published in:
- 2019
- By:
- Publication type:
- journal article
Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis.
- Published in:
- 2019
- By:
- Publication type:
- journal article
Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
- Published in:
- Medical Physics, 2018, v. 45, n. 12, p. 5482, doi. 10.1002/mp.13240
- By:
- Publication type:
- Article
The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis.
- Published in:
- 2018
- By:
- Publication type:
- journal article
Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging.
- Published in:
- 2017
- By:
- Publication type:
- journal article
Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps.
- Published in:
- Abdominal Radiology, 2017, v. 42, n. 7, p. 1896, doi. 10.1007/s00261-017-1079-6
- By:
- Publication type:
- Article
Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.
- Published in:
- International Journal of Computer Assisted Radiology & Surgery, 2017, v. 12, n. 4, p. 645, doi. 10.1007/s11548-017-1522-8
- By:
- Publication type:
- Article