Haoliang Lin

Clinically Applicable Deep Learning Strategy for Pulmonary Nodule Risk Prediction: Insights into HONORS

Yizhou Wang, Qiang Xu, Xiuli Li, 2020 .

Prognostic value of different metastatic sites for patients with FIGO stage IVB endometrial cancer after surgery: A SEER database analysis

Hui Li, C. Chen, Zhongqiu Lin, 2020, Journal of surgical oncology.

Comprehensive lymphadenectomy and survival prediction in uterine serous cancer patients after surgery: A population-based analysis.

Yunyun Liu, Hui Li, Zhongqiu Lin, 2020, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

Survival, treatment pattern, and treatment outcome in patients with cervical cancer metastatic to distant lymph nodes

Zhongqiu Lin, Haoliang Lin, T. Yao, 2022, Frontiers in Oncology.

Comprehensive lymphadenectomy and survival prediction in uterine serous cancer patients after surgery: A population-based analysis.

Yunyun Liu, Hui Li, Zhongqiu Lin, 2020, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

Zhen Zhou, Yizhou Yu, Haoliang Lin, 2021, European Radiology.

Development and validation of a clinically applicable deep learning strategy (HONORS) for pulmonary nodule classification at CT: A retrospective multicentre study.

Yizhou Wang, Qiang Xu, Xiuli Li, 2021, Lung cancer.