Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans.
- Published in:
- Communications Biology, 2021, v. 4, n. 1, p. 1, doi. 10.1038/s42003-021-02814-7
- By:
- Publication type:
- Article
Works by Cho, Hwan-ho
Results: 15
1
2
Are radiomics features universally applicable to different organs?
- Published in:
- 2021
- By:
- Publication type:
- journal article
3
3D airway geometry analysis of factors in airway navigation failure for lung nodules.
- Published in:
- Cancer Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s40644-024-00730-7
- By:
- Publication type:
- Article
4
Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer.
- Published in:
- 2019
- By:
- Publication type:
- journal article
5
The Tumor–Fat Interface Volume of Breast Cancer on Pretreatment MRI Is Associated with a Pathologic Response to Neoadjuvant Chemotherapy.
- Published in:
- Biology (2079-7737), 2020, v. 9, n. 11, p. 391, doi. 10.3390/biology9110391
- By:
- Publication type:
- Article
6
Measurement of Perfusion Heterogeneity within Tumor Habitats on Magnetic Resonance Imaging and Its Association with Prognosis in Breast Cancer Patients.
- Published in:
- Cancers, 2022, v. 14, n. 8, p. 1858, doi. 10.3390/cancers14081858
- By:
- Publication type:
- Article
7
Multi-Habitat Radiomics Unravels Distinct Phenotypic Subtypes of Glioblastoma with Clinical and Genomic Significance.
- Published in:
- Cancers, 2020, v. 12, n. 7, p. 1707, doi. 10.3390/cancers12071707
- By:
- Publication type:
- Article
8
Integrative Radiogenomics Approach for Risk Assessment of Post-Operative Metastasis in Pathological T1 Renal Cell Carcinoma: A Pilot Retrospective Cohort Study.
- Published in:
- Cancers, 2020, v. 12, n. 4, p. 866, doi. 10.3390/cancers12040866
- By:
- Publication type:
- Article
9
Global intracranial arterial tortuosity is associated with intracranial atherosclerotic burden.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-61527-z
- By:
- Publication type:
- Article
10
Marginal radiomics features as imaging biomarkers for pathological invasion in lung adenocarcinoma.
- Published in:
- 2020
- By:
- Publication type:
- journal article
11
A Cascaded Neural Network for Staging in Non-Small Cell Lung Cancer Using Pre-Treatment CT.
- Published in:
- Diagnostics (2075-4418), 2021, v. 11, n. 6, p. 1047, doi. 10.3390/diagnostics11061047
- By:
- Publication type:
- Article
12
Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-30234-6
- By:
- Publication type:
- Article
13
Overview of radiomics in prostate imaging and future directions.
- Published in:
- British Journal of Radiology, 2022, v. 95, n. 1131, p. 1, doi. 10.1259/bjr.20210539
- By:
- Publication type:
- Article
14
Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
- Published in:
- Neuroradiology, 2018, v. 60, n. 12, p. 1297, doi. 10.1007/s00234-018-2091-4
- By:
- Publication type:
- Article
15
Evaluating diagnostic yield and accuracy as key performance metrics in pulmonary lung lesions.
- Published in:
- Frontiers in Medicine, 2025, p. 1, doi. 10.3389/fmed.2025.1572779
- By:
- Publication type:
- Article