Found: 16
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Lightweight facial expression recognition method based on attention mechanism and key region fusion.
- Published in:
- Journal of Electronic Imaging, 2021, v. 30, n. 6, p. 63002, doi. 10.1117/1.JEI.30.6.063002
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- Publication type:
- Article
Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.
- Published in:
- 2019
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- Publication type:
- journal article
A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication.
- Published in:
- 2019
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- Publication type:
- journal article
Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery.
- Published in:
- 2018
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- Publication type:
- journal article
ASO Author Reflections: Radiomics-Based Strategy of Combining Conventional Clinico-Radiological Characteristics with Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma.
- Published in:
- Annals of Surgical Oncology: An Oncology Journal for Surgeons, 2022, v. 29, n. 11, p. 6800, doi. 10.1245/s10434-022-12093-z
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- Publication type:
- Article
Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography.
- Published in:
- Annals of Surgical Oncology: An Oncology Journal for Surgeons, 2022, v. 29, n. 11, p. 6786, doi. 10.1245/s10434-022-12028-8
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- Publication type:
- Article
Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies.
- Published in:
- 2020
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- Publication type:
- journal article
PLEK2 and IFI6, representing mesenchymal and immune-suppressive microenvironment, predicts resistance to neoadjuvant immunotherapy in esophageal squamous cell carcinoma.
- Published in:
- Cancer Immunology, Immunotherapy, 2023, v. 72, n. 4, p. 881, doi. 10.1007/s00262-022-03288-0
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- Publication type:
- Article
ASO Visual Abstract: Radiomics Nomogram with Added Nodal Features Improves Treatment Response Prediction in Locally Advanced Esophageal Squamous Cell Carcinoma—A Multicenter Study.
- Published in:
- 2023
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- Publication type:
- Abstract
ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?
- Published in:
- Annals of Surgical Oncology: An Oncology Journal for Surgeons, 2023, v. 30, n. 13, p. 8282, doi. 10.1245/s10434-023-14299-1
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- Publication type:
- Article
Radiomics Nomogram with Added Nodal Features Improves Treatment Response Prediction in Locally Advanced Esophageal Squamous Cell Carcinoma: A Multicenter Study.
- Published in:
- Annals of Surgical Oncology: An Oncology Journal for Surgeons, 2023, v. 30, n. 13, p. 8231, doi. 10.1245/s10434-023-14253-1
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- Publication type:
- Article
Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients.
- Published in:
- NPJ Precision Oncology, 2024, v. 8, n. 1, p. 1, doi. 10.1038/s41698-024-00670-2
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- Publication type:
- Article
Real‐time facial expression recognition based on iterative transfer learning and efficient attention network.
- Published in:
- IET Image Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 1694, doi. 10.1049/ipr2.12441
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- Publication type:
- Article
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients.
- Published in:
- NPJ Precision Oncology, 2021, v. 5, n. 1, p. 1, doi. 10.1038/s41698-021-00205-z
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- Publication type:
- Article
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.
- Published in:
- Journal of Neuro-Oncology, 2018, v. 140, n. 2, p. 297, doi. 10.1007/s11060-018-2953-y
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- Publication type:
- Article
A model based on clinico‐biochemical characteristics and deep learning features from MR images for assessing necroinflammatory activity in chronic hepatitis B.
- Published in:
- Journal of Viral Hepatitis, 2021, v. 28, n. 11, p. 1656, doi. 10.1111/jvh.13578
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- Publication type:
- Article