Q
Qifeng Wang
H指数:38
被引数:5,316
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Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence
通过无对比剂计算机断层扫描和人工智能进行大规模食管癌筛查
Nature Medicine
IF50
ASO Visual Abstract: Impact of Muscle Mass Loss on Survival During Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma: A Multi-Center Retrospective Study in China (TIMES Study)
ASO视觉摘要:肌肉质量丢失对局部晚期食管鳞状细胞癌患者新辅助化放疗期间生存的影响:一项中国的多中心回顾性研究(TIMES研究)
Impact of Muscle Mass Loss on Survival During Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma: A Multi-center Retrospective Study in China (TIMES Study)
中国多中心回顾性研究(TIMES研究):肌肉质量丢失对局部晚期食管鳞状细胞癌患者新辅助化放疗期间生存的影响
Chemoradiotherapy versus Chemotherapy Alone in Extensive-Stage Small Cell Esophageal Carcinoma: A Multicenter Retrospective Study Highlighting the Role of Radiotherapy (ChiSCEC)
化学放射疗法与单纯化疗在广泛期小细胞食管癌中的比较:一项突出放射疗法作用的多中心回顾性研究(ChiSCEC)
Lymph node ratio predicts adjuvant chemotherapy benefit in esophageal squamous cell carcinoma
淋巴结比率预测食管鳞状细胞癌辅助化疗的获益。
ONCOLOGIST
IF4.2
Perineural invasion as a prognostic factor and the efficacy of upfront surgery for low-risk cT2/T3N0M0 esophageal squamous cell carcinoma patients
神经周围浸润作为预后因素以及根治性手术对低危cT2/T3N0M0食管鳞状细胞癌患者的疗效
Clinical characteristics and prognosis of pulmonary lymphoepithelioma-like carcinoma: a multicenter cohort study of 1106 cases
肺淋巴上皮样癌的临床特征与预后:一项基于1106例的多中心队列研究
ESMO Open
IF8.3
A multidimensional deep ensemble learning model predicts pathological response and outcomes in esophageal squamous cell carcinoma treated with neoadjuvant chemoradiotherapy from pretreatment CT imaging: A multicenter study
一种多维深度集成学习模型通过术前CT影像预测接受新辅助化放疗的食管鳞状细胞癌患者的病理反应和预后:一项多中心研究
Deepath-MSI: a clinic-ready deep learning model for microsatellite instability detection in colorectal cancer using whole-slide imaging
Deepath-MSI:一种基于全切片成像技术的临床可用深度学习模型,用于结直肠癌微卫星不稳定性检测

