OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 01.05.2026, 02:27

Ben Ma

110 Arbeiten2.151 Zitationen

Shanghai Medical College of Fudan University · CN

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Supplementary Table S4 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Figure S6 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Figure s5 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Table S6 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Figure S1 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Table S1 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Table S9 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Figure S4 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Table S3 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Methods S1 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Figure S3 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Table S5 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Figure S2 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Table S2 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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Supplementary Table S11 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

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