Suivre
Xiuli Li
Xiuli Li
Research Scientist
Adresse e-mail validée de deepwise.com
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Citée par
Citée par
Année
Deep snake for real-time instance segmentation
S Peng, W Jiang, H Pi, X Li, H Bao, X Zhou
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3182020
Automatic liver segmentation using a statistical shape model with optimal surface detection
X Zhang, J Tian, K Deng, Y Wu, X Li
IEEE Transactions on Biomedical Engineering 57 (10), 2622-2626, 2010
1962010
Semi-supervised brain lesion segmentation with an adapted mean teacher model
W Cui, Y Liu, Y Li, M Guo, Y Li, X Li, T Wang, X Zeng, C Ye
Information Processing in Medical Imaging: 26th International Conference …, 2019
1812019
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach
Y Gu, V Kumar, LO Hall, DB Goldgof, CY Li, R Korn, C Bendtsen, ...
Pattern recognition 46 (3), 692-702, 2013
1782013
A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images
Z Shi, C Miao, UJ Schoepf, RH Savage, DM Dargis, C Pan, X Chai, XL Li, ...
Nature communications 11 (1), 6090, 2020
1082020
Artificial intelligence in the management of intracranial aneurysms: current status and future perspectives
Z Shi, B Hu, UJ Schoepf, RH Savage, DM Dargis, CW Pan, XL Li, QQ Ni, ...
American Journal of Neuroradiology 41 (3), 373-379, 2020
732020
Interactive liver tumor segmentation from ct scans using support vector classification with watershed
X Zhang, J Tian, D Xiang, X Li, K Deng
2011 Annual international conference of the IEEE engineering in medicine and …, 2011
722011
MMFNet: A multi-modality MRI fusion network for segmentation of nasopharyngeal carcinoma
H Chen, Y Qi, Y Yin, T Li, X Liu, X Li, G Gong, L Wang
Neurocomputing 394, 27-40, 2020
682020
Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning–assisted nodule segmentation
LL Qi, BT Wu, W Tang, LN Zhou, Y Huang, SJ Zhao, L Liu, M Li, L Zhang, ...
European Radiology 30, 744-755, 2020
662020
Clinical, conventional CT and radiomic feature-based machine learning models for predicting ALK rearrangement status in lung adenocarcinoma patients
L Song, Z Zhu, L Mao, X Li, W Han, H Du, H Wu, W Song, Z Jin
Frontiers in Oncology 10, 369, 2020
602020
CT-based radiomics to predict the pathological grade of bladder cancer
G Zhang, L Xu, L Zhao, L Mao, X Li, Z Jin, H Sun
European radiology 30, 6749-6756, 2020
492020
A deep network for tissue microstructure estimation using modified LSTM units
C Ye, X Li, J Chen
Medical image analysis 55, 49-64, 2019
472019
Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy
Q Xu, Z Sun, X Li, C Ye, C Zhou, L Zhang, G Lu
European radiology 31 (11), 8765-8774, 2021
462021
Cascaded generative and discriminative learning for microcalcification detection in breast mammograms
F Zhang, L Luo, X Sun, Z Zhou, X Li, Y Yu, Y Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
412019
Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a …
G Chen, M Lu, Z Shi, S Xia, Y Ren, Z Liu, X Liu, Z Li, L Mao, XL Li, ...
European radiology 30, 5170-5182, 2020
382020
FAPI-04 PET/CT Using [18F]AlF Labeling Strategy: Automatic Synthesis, Quality Control, and In Vivo Assessment in Patient
X Jiang, X Wang, T Shen, Y Yao, M Chen, Z Li, X Li, J Shen, Y Kou, ...
Frontiers in Oncology 11, 649148, 2021
362021
Exploring transfer learning for gastrointestinal bleeding detection on small-size imbalanced endoscopy images
X Li, H Zhang, X Zhang, H Liu, G Xie
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
362017
Radiomics based on multiparametric magnetic resonance imaging to predict extraprostatic extension of prostate cancer
L Xu, G Zhang, L Zhao, L Mao, X Li, W Yan, Y Xiao, J Lei, H Sun, Z Jin
Frontiers in Oncology 10, 940, 2020
342020
Lung nodule malignancy prediction using multi-task convolutional neural network
X Li, Y Kao, W Shen, X Li, G Xie
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 551-557, 2017
332017
Machine learning–based prediction of small intracranial aneurysm rupture status using CTA-derived hemodynamics: a multicenter study
Z Shi, GZ Chen, L Mao, XL Li, CS Zhou, S Xia, YX Zhang, B Zhang, B Hu, ...
American Journal of Neuroradiology 42 (4), 648-654, 2021
322021
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