Minhang District Central Hospital

A Clinical-Radiomics Nomogram for Functional Outcome Predictions in Ischemic Stroke

Hao Wang, Yi Sun, Yaqiong Ge et al.

2021 · 45 Zit.

Prognostic significance and optimal cutoff of age in medullary thyroid cancer

Ning Qu, Rong-Liang Shi, Ting-xian Luo et al.

2016 · 21 Zit.

Using Natural Language Processing (GPT-4) for Computed Tomography Image Analysis of Cerebral Hemorrhages in Radiology: Retrospective Analysis

Daiwen Zhang, Zixuan Ma, Ru Gong et al.

2024 · 11 Zit.

Development and validation of a clinical-radiomics model for prediction of prostate cancer: a multicenter study

Jiaqi Huang, He Chang, Peirong Xu et al.

2024 · 5 Zit.

Predicting Functional Outcomes of Endovascular Thrombectomy in Acute Ischemic Stroke Using a Clinical-Radiomics Nomogram

Yuan Zhang, Tingting Zheng, Hao Wang et al.

2024 · 2 Zit.

The CT-based deep learning model outperforms traditional anatomical classification models in preoperatively predicting complications and risk grade in partial nephrectomy

Lingzhi Du, Jie Cheng, Chen‐Yang Shen et al.

2025 · 0 Zit.

An Interpretable Multimodal CT-Clinical Model for Predicting 90-Day Functional Outcome After Acute Ischemic Stroke

W. Mao, Yuxiang Dai, Hang Yu et al.

2026 · 0 Zit.

MRG-R3: Retrieval-Reflection-Reward via Multimodal LLMs Advances Clinical Automated Medical Report Generation

Jinhua Yu, Zheyuan Liu, Yijie Dong et al.

2025 · 0 Zit.