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| 2025-05 |
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Fusion Learning from Non-contrast CT Scans for the Detection of Hemorrhagic Transformation in Stroke Patients |
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| 2024-11 |
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| 2024-10 |
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| 2024-09 |
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| 2024-08 |
Automated optical inspection based on synthetic mechanisms combining deep learning and machine learning |
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| 2024-08 |
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| 2024-02 |
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| 2023-11 |
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| 2023-07 |
Modeling the Survival of Colorectal Cancer Patients based on Colonoscopic Features in a Feature Ensemble Vision Transformer |
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| 2023-07 |
Deep learning-based assessment of knee septic arthritis using transformer features in sonographic modalities |
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| 2022-08 |
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| 2022-08 |
Rapid Polyp Classification in Colonoscopy Using Textural and Convolutional Features |
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| 2022-06 |
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| 2021-11 |
Deep Convolutional Neural Networks Detect Tumor Genotype from Pathological Tissue Images in Gastrointestinal Stromal Tumors |
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| 2021-08 |
Assessing Ischemic Stroke with Convolutional Image Features in Carotid Color Doppler |
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| 2021-05 |
Rapid Assessment of Acute Ischemic Stroke by Computed Tomography using Deep Convolutional Neural Networks |
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| 2019-04 |
Computer-Aided Detection of Hyperacute Stroke Based on Relative Radiomic Patterns in Computed Tomography |
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| 2019-02 |
Quantitative Diagnosis of Rotator Cuff Tears based on Sonographic Pattern Recognition |
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| 2019-02 |
Supraspinatus Segmentation from Shoulder Ultrasound Images Using a Multilayer Selfshrinking Snake |
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| 2018-11 |
A Novel Machine Learning Algorithm to Automatically Predict Visual Outcomes in Intravitreal Ranibizumab-Treated Patients with Diabetic Macular Edema |
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