S. Feng

发表

Non-invasive and real-time proliferative activity estimation based on a quantitative radiomics approach for patients with acromegaly: a multicenter study

A. Mou, M. Feng, Y. Fan, 2019, Journal of Endocrinological Investigation.

Development and assessment of machine learning algorithms for predicting remission after transsphenoidal surgery among patients with acromegaly

X. Bao, Yanghua Fan, Renzhi Wang, 2019, Endocrine.

Development of machine learning models for predicting postoperative delayed remission of patients with Cushing's disease.

X. Bao, Yanghua Fan, Renzhi Wang, 2020, The Journal of clinical endocrinology and metabolism.

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

Yanghua Fan, M. Hua, Renzhi Wang, 2019, Front. Endocrinol..

Coagulation disorders in patients with abnormal serum cortisol level

B. Xing, X. Bao, Xiao-hai Liu, 2021, Chinese medical journal.

Diagnosis, Manifestations, Laboratory Investigations, and Prognosis in Pediatric and Adult Cushing’s Disease in a Large Center in China

X. Bao, Renzhi Wang, M. Feng, 2021, Frontiers in Endocrinology.

An easy-to-operate web-based calculator for predicting the progression of chronic kidney disease

S. Feng, Qian Xu, Yanxia Jiang, 2021, Journal of translational medicine.

Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm

Hong Bu, Yan Li, Bo Fu, 2020, Comput. Methods Programs Biomed..

Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records

S. Feng, An Fang, Xianlai Chen, 2022, BMC Medical Informatics and Decision Making.