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Presentation 2_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx

• Authors : Yun Liang; Min He; Wenqing Chen

Subjects: Oncology and Carcinogenesis not elsewhere classified; deep learning; artificial intelligence

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Presentation 3_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx

• Authors : Yun Liang; Min He; Wenqing Chen

Subjects: Oncology and Carcinogenesis not elsewhere classified; deep learning; artificial intelligence

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Presentation 1_A combined model integrating deep learning, radiomics, and clinical ultrasound features for predicting BRAF V600E mutation in papillary thyroid carcinoma with Hashimoto’s thyroiditis.pdf

• Authors : Peng-Fei Zhu; Xiao-Feng Zhang; Pu Zhou

Subjects: Cell Metabolism; papillary thyroid carcinoma; Hashimoto’s thyroiditis

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Presentation 1_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx

• Authors : Yun Liang; Min He; Wenqing Chen

Subjects: Oncology and Carcinogenesis not elsewhere classified; deep learning; artificial intelligence

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Presentation 2_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx

• Authors : Yun Liang; Min He; Wenqing Chen

Subjects: Oncology and Carcinogenesis not elsewhere classified; deep learning; artificial intelligence

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Presentation 3_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx

• Authors : Yun Liang; Min He; Wenqing Chen

Subjects: Oncology and Carcinogenesis not elsewhere classified; deep learning; artificial intelligence

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Exploring Diverse Radiomics Approaches for Survival Prediction and Risk Stratification in Glioma Using MRI

• Authors : Dandachly, Walid; Leporq, Benjamin; Pilleul, Frank ...

Subjects: Voxel-wise analysis; Survival; GlioblastomaNew York; NY; United States

• Source: 11th Annual Symposium on Magnetic Resonance in Radiation Therapyhttps://hal.science/hal-0521828011th Annual Symposium on Magnetic Resonance in Radiation Therapy, Apr 2025, New York, NY,

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Novel radiomics approach for survival prediction and riskstratification in glioma using MRI

• Authors : Walid, Dandachly; Benjamin, Leporq; Frank, Pilleul ...

Subjects: Glioblastoma; Survival; PredicitonSaint-malo; France

• Source: Société Française de Résonance Magnétique en Biologie et Médecine ; https://hal.science/hal-05233528 ; Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2025,

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Exploring Diverse Radiomics Approaches for Survival Prediction and Risk Stratification in Glioma Using MRI

• Authors : Dandachly, Walid; Leporq, Benjamin; Pilleul, Frank ...

Subjects: Voxel-wise analysis; Survival; GlioblastomaNew York; NY; United States

• Source: 11th Annual Symposium on Magnetic Resonance in Radiation Therapyhttps://hal.science/hal-0521828011th Annual Symposium on Magnetic Resonance in Radiation Therapy, Apr 2025, New York, NY,

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Novel radiomics approach for survival prediction and riskstratification in glioma using MRI

• Authors : Walid, Dandachly; Benjamin, Leporq; Frank, Pilleul ...

Subjects: Glioblastoma; Survival; PredicitonSaint-malo; France

• Source: Société Française de Résonance Magnétique en Biologie et Médecine ; https://hal.science/hal-05233528 ; Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2025,

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