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Kaiming Kuang

Showing results (1-10 of 14) with videos related to

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Peerj. Computer Science|April 25, 2024
Trajectory classification to support effective and efficient field-road classificationYing Chen, Kaiming Kuang, Caicong Wu
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2025
SimTA++: Simple attention neural network for clinical asynchronous time seriesZhihao Li, Jingyu Li, Kaiming Kuang, et al.
Medical Image Analysis|December 23, 2025
Template-guided reconstruction of pulmonary segments with neural implicit functionsKangxian Xie, Yufei Zhu, Kaiming Kuang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 7, 2023
SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain AttentionRui Xu, Zhi Liu, Yong Luo, et al.
Frontiers in Medicine|November 21, 2022
Non-contrast and contrast enhanced computed tomography radiomics in preoperative discrimination of lung invasive and non-invasive adenocarcinomaYingli Sun, Wei Zhao, Kaiming Kuang, et al.
Cancers|August 12, 2022
ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT SeriesWei Zhao, Yingli Sun, Kaiming Kuang, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Frontiers in Medicine|June 5, 2023
Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scansJunhao Mu, Kaiming Kuang, Min Ao, et al.
IEEE Transactions on Medical Imaging|September 11, 2023
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline ExtractionLiang Jin, Shixuan Gu, Donglai Wei, et al.
Ebiomedicine|November 13, 2020
Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNetLiang Jin, Jiancheng Yang, Kaiming Kuang, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Peerj. Computer Science|April 25, 2024
Trajectory classification to support effective and efficient field-road classificationYing Chen, Kaiming Kuang, Caicong Wu
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2025
SimTA++: Simple attention neural network for clinical asynchronous time seriesZhihao Li, Jingyu Li, Kaiming Kuang, et al.
Medical Image Analysis|December 23, 2025
Template-guided reconstruction of pulmonary segments with neural implicit functionsKangxian Xie, Yufei Zhu, Kaiming Kuang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 7, 2023
SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain AttentionRui Xu, Zhi Liu, Yong Luo, et al.
Frontiers in Medicine|November 21, 2022
Non-contrast and contrast enhanced computed tomography radiomics in preoperative discrimination of lung invasive and non-invasive adenocarcinomaYingli Sun, Wei Zhao, Kaiming Kuang, et al.
Cancers|August 12, 2022
ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT SeriesWei Zhao, Yingli Sun, Kaiming Kuang, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Frontiers in Medicine|June 5, 2023
Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scansJunhao Mu, Kaiming Kuang, Min Ao, et al.
IEEE Transactions on Medical Imaging|September 11, 2023
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline ExtractionLiang Jin, Shixuan Gu, Donglai Wei, et al.
Ebiomedicine|November 13, 2020
Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNetLiang Jin, Jiancheng Yang, Kaiming Kuang, et al.
Pageof 2