代表性论文或专著 1)Liangbing Nie, Zhenkui Sun, Fengling Shan, Chengfan Li, Xuehai Ding* and Chen tian Shen, An artificial intelligence framework for the diagnosis of prosthetic joint infection based on 99mTc-MDP dynamic bone scintigraphy, European Radiology, 2023, 33(10): 6794-803, DOI: 10.1007/s00330-023-09687-w. 2)2) Chengfan Li, Liangbin Nie, Zhenkui Sun, Xuehai Ding*, Quanyong Luo, and Chen tian Shen, 3DFRINet: A Framework for the Detection and Diagnosis of Fracture Related Infection in Low Extremities Based on 18F-FDG PET/CT 3D Images, Computerized Medical Imaging and Graphics. 3) Nianting Ju, Liangbing Nie, Yang Wang, Liying Hou, Chengfan Li, Xuehai Ding*, Quanyong Luo and Chentian Shen, Predicting 18F-FDG SUVs of metastatic pulmonary nodes from CT images in patients with differentiated thyroid cancer by using a convolutional neural network, Frontiers in Endocrinology, 2023 14, DOI: 10.3389/fendo.2023.1127741. 4) Sang T, Yu F, Zhao J, Wu B, Ding X*, Shen C. A novel deep learning method to segment parathyroid glands on intraoperative videos of thyroid surgery. Front Surg. 2024 Apr 19;11:1370017. doi: 10.3389/fsurg.2024.1370017. PMID: 38708363; PMCID: PMC11066234. 5) Yu F, Sang T, Kang J, Deng X, Guo B, Yang H, Chen X, Fan Y, Ding X*, Wu B. An automatic parathyroid recognition and segmentation model based on deep learning of near-infrared autofluorescence imaging. Cancer Med. 2024 Feb;13(4):e7065. doi:10.1002/cam4.7065. PMID: 38457206; PMCID: PMC10923035. 6) Liu Y, Zhao J, Luo Q, Shen C, Wang R, Ding X*. Automated classification of cervical lymph-node-level from ultrasound using Depthwise Separable Convolutional Swin Transformer[J]. Computers in Biology and Medicine, 2022, 148: 105821. 7) Ding X*, Liu Y, Zhao J, et al. A novel wavelet-transform based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images[J]. Computers in Biology and Medicine，2023. 8) Li C, Du R, Luo Q, Wang R, Ding X*. A Novel Model of Thyroid Nodule Segmentation for Ultrasound Images[J]. Ultrasound in Medicine & Biology, 2023, 49(2): 489-496.
|
