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Medical Image Analysis|November 3, 2021
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matchingXiangde Luo, Tao Song, Guotai Wang, et al.
Computer Methods and Programs in Biomedicine|February 11, 2023
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationGuotai Wang, Xiangde Luo, Ran Gu, et al.
Medical Image Analysis|November 30, 2025
PL-Seg: Partially labeled abdominal organ segmentation via classwise orthogonal contrastive learning and progressive self-distillationHe Li, Xiangde Luo, Jia Fu, et al.
Journal of Biomechanics|September 4, 2012
Transformation between different local coordinate systems of the scapulaXu Xu, Jia-Hua Lin, Kang Li, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Efficient MR image reconstruction for compressed MR imagingJunzhou Huang, Shaoting Zhang, Dimitris Metaxas
Medical Image Analysis|July 12, 2011
Efficient MR image reconstruction for compressed MR imagingJunzhou Huang, Shaoting Zhang, Dimitris Metaxas
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
A visual validation method based on point mappings for medical image segmentationFeng Qian, Lixu Gu, Shaoting Zhang
JMIR Medical Informatics|July 2, 2024
Data Set and Benchmark (MedGPTEval) to Evaluate Responses From Large Language Models in Medicine: Evaluation Development and ValidationJie Xu, Lu Lu, Xinwei Peng, et al.
Journal of Medical Internet Research|June 4, 2024
Evaluating and Enhancing Large Language Models' Performance in Domain-Specific Medicine: Development and Usability Study With DocOAXi Chen, Li Wang, MingKe You, et al.
International Journal of Radiation Oncology, Biology, Physics|May 27, 2023
Comprehensive Evaluation of a Deep Learning Model for Automatic Organs-at-Risk Segmentation on Heterogeneous Computed Tomography Images for Abdominal Radiation TherapyWenjun Liao, Xiangde Luo, Yuan He, et al.
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