Author

Qianrui Fan

Observed names: Fan, Qianrui, Qian-Rui Fan, Qian-rui Fan

Institution: InferVision (China)

Observed institutions: InferVision (China), Ant Group (China)

ORCID: 0000-0003-3446-7242

Observed ORCID: 0000-0003-3446-7242

OpenAlex ID: A5030561501

Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study

2023 · Jiangfen Wu, Nijun Liu, et al. · BMC Medical Imaging · 36

Deep learning–assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study

2023 · Yang Xu, Chaoyang Zhou, et al. · European Radiology · 27

Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study

2025 · Rongxue Shan, Chenhao Pei, et al. · BMC Cancer · 22

Non-contrast CT radiomics and machine learning for outcomes prediction of patients with acute ischemic stroke receiving conventional treatment

2023 · Limin Zhang, Jing Wu, et al. · European Journal of Radiology · 22

Deep learning-based platform performs high detection sensitivity of intracranial aneurysms in 3D brain TOF-MRA: An external clinical validation study

2024 · Yuanyuan Li, Huiling Zhang, et al. · International Journal of Medical Informatics · 20

Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning model

2024 · Xiaojuan He, Yang Xu, et al. · European Journal of Radiology · 19

Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma

2024 · Jiwen Huo, Xuhong Min, et al. · La radiologia medica · 13

HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhage

2024 · Zhiming Zhou, Weidao Chen, et al. · European Journal of Radiology · 11

GAPS: A Clinically Grounded, Automated Benchmark for Evaluating AI Clinicians

2025 · Chen, Xiuyuan, Sun, Tao, et al. · arXiv (Cornell University) · 7

Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study

2025 · Ping Yin, Weidao Chen, et al. · Cancer Imaging · 5

Machine learning-based model for predicting outcomes in cerebral hemorrhage patients with leukemia

2024 · Lu Shi, Ping Yin, et al. · European Journal of Radiology · 4

Value of CT-Based Deep Learning Model in Differentiating Benign and Malignant Solid Pulmonary Nodules ≤ 8 mm

2024 · Yuan Li, Xing-Tao Huang, et al. · Academic Radiology · 4

Radiomics combined with clinical and MRI features may provide preoperative evaluation of suboptimal debulking surgery for serous ovarian carcinoma

2024 · Li Liu, Wenfei Zhang, et al. · Abdominal Radiology · 3

Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment

2025 · Xin Li, Guangyong Ai, et al. · BMC Medical Imaging · 2

3D deep learning model to predict the recurrence of stage IA invasive lung adenocarcinoma after sub-lobar resection: a multicenter retrospective cohort study

2026 · Xin Fan, Chen Liang, et al. · Journal of Imaging Informatics in Medicine

Works count: 15

Citation count: 195

H-index: 8

I10-index: 8