Xin Gao
Orcid: 0000-0001-9906-0596Affiliations:
- Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Department of Medical Imaging, China
- Capital Medical University, School of Biomedical Engineering, Beijing, China (2004 - 2006)
- Zhejiang University, College of Biomedical Engineering and Instrument Science, Hangzhou, China (PhD 2004)
According to our database1,
Xin Gao
authored at least 21 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Channel-Spatial Attention Guided CycleGAN for CBCT-Based Synthetic CT Generation to Enable Adaptive Radiotherapy.
IEEE Trans. Computational Imaging, 2024
StarAN: A star attention network utilizing inter-view and intra-view correlations for sparse-view cone-beam computed tomography reconstruction.
Expert Syst. Appl., 2024
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Coordinate-based fast lightweight path search algorithm for electromagnetic navigation bronchoscopy.
Medical Biol. Eng. Comput., March, 2023
DeSAM: Decoupling Segment Anything Model for Generalizable Medical Image Segmentation.
CoRR, 2023
An advanced W-shaped network with adaptive multi-scale supervision for osteosarcoma segmentation.
Biomed. Signal Process. Control., 2023
2022
Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test image.
Medical Biol. Eng. Comput., 2022
Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.
Int. J. Medical Informatics, 2022
2021
3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images.
Comput. Medical Imaging Graph., 2021
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors.
Artif. Intell. Medicine, 2021
2020
Object extraction via deep learning-based marker-free tracking framework of surgical instruments for laparoscope-holder robots.
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
Non-rigid registration of multi-phase liver CT data using fully automated landmark detection and TPS deformation.
Clust. Comput., 2019
2018
Method for Calculating the Bending Angle of Puncture Needle in Preoperative Planning for Transjugular Intrahepatic Portal Systemic Shunt (TIPS).
Comput. Math. Methods Medicine, 2018
Comput. Medical Imaging Graph., 2018
2017
Pattern Recognit., 2017
MSFCN-multiple supervised fully convolutional networks for the osteosarcoma segmentation of CT images.
Comput. Methods Programs Biomed., 2017
2015
Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
Comput. Medical Imaging Graph., 2015
2011
A Fast and Fully Automatic Method for Cerebrovascular Segmentation on Time-of-Flight (TOF) MRA Image.
J. Digit. Imaging, 2011
2008
Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs.
Comput. Methods Programs Biomed., 2008
Computerized detection of unruptured aneurysms in MRA images: reduction of false positives using anatomical location features.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
2007
Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007