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1.
Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study.
Diagnostics (Basel)
; 14(7)2024 Mar 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-38611625
2.
From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics.
Cancers (Basel)
; 15(7)2023 Mar 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-37046593
3.
An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma.
Cancers (Basel)
; 15(21)2023 Nov 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37958476
4.
CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features.
J Pers Med
; 12(4)2022 Mar 31.
Artículo
en Inglés
| MEDLINE | ID: mdl-35455668
5.
Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning.
Front Med (Lausanne)
; 9: 915243, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35814761
6.
MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features.
Cancers (Basel)
; 14(7)2022 Mar 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-35406372
7.
Transparency of deep neural networks for medical image analysis: A review of interpretability methods.
Comput Biol Med
; 140: 105111, 2021 Dec 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-34891095
8.
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods.
J Pers Med
; 11(9)2021 Aug 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-34575619
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