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11 |
Interpretable and generalizable deep learning model for preoperative assessment of microvascular invasion and outcome in hepatocellular carcinoma based on MRI: a multicenter study
Enthalten in Insights into imaging Bd. 16, 3.7.2025, Nr. 1, date:12.2025: 1-13
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12 |
Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics Model for Preoperative Predicting the Deep Stromal Invasion in Patients with Early Cervical Cancer
Enthalten in Journal of imaging informatics in medicine Bd. 37, 10.1.2024, Nr. 1, date:2.2024: 230-246
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13 |
MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer
Enthalten in Insights into imaging Bd. 13, 8.1.2022, Nr. 1, date:12.2022: 1-12
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14 |
Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals
Enthalten in Cancer imaging Bd. 21, 9.10.2021, Nr. 1, date:12.2021: 1-16
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15 |
Predictive value of MRI-based deep learning model for lymphovascular invasion status in node-negative invasive breast cancer
Enthalten in Scientific reports Bd. 14, 13.7.2024, Nr. 1, date:12.2024: 1-12
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16 |
Usefulness of DWI in preoperative assessment of deep myometrial invasion in patients with endometrial carcinoma: a systematic review and meta-analysis
Enthalten in Cancer imaging Bd. 14, 12.11.2014, Nr. 1, date:12.2014: 1-11
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17 |
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor
Enthalten in Cancer imaging Bd. 22, 22.9.2022, Nr. 1, date:12.2022: 1-9
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Administration
