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Wei-Ning Lee
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2020 – today
- 2024
- [c8]Andong Wang, Bo Wu, Sunli Chen, Zhenfang Chen, Haotian Guan, Wei-Ning Lee, Li Erran Li, Chuang Gan:
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. CVPR 2024: 13384-13394 - [i6]Andong Wang, Bo Wu, Sunli Chen, Zhenfang Chen, Haotian Guan, Wei-Ning Lee, Li Erran Li, Chuang Gan:
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. CoRR abs/2405.09713 (2024) - 2023
- [i5]Xiaofei Sun, He Li, Wei-Ning Lee:
Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial Resolution. CoRR abs/2309.00995 (2023) - [i4]Haotian Guan, Jinping Dong, Wei-Ning Lee:
Towards Real-time Training of Physics-informed Neural Networks: Applications in Ultrafast Ultrasound Blood Flow Imaging. CoRR abs/2309.04755 (2023) - 2022
- [j6]Jinping Dong, Wei-Ning Lee:
Noninvasive Assessment of In Vivo Passive Skeletal Muscle Mechanics as a Composite Material Using Biomedical Ultrasound. IEEE Trans. Biomed. Eng. 69(3): 1162-1172 (2022) - [c7]Andong Wang, Wei-Ning Lee, Xiaojuan Qi:
HINT: Hierarchical Neuron Concept Explainer. CVPR 2022: 10244-10254 - [c6]Fedi Zouari, Wei Yi Oon, Dipyaman Modak, Wang Chun Kwok, Peng Cao, Wei-Ning Lee, Terence Chi Chun Tam, Eddie C. Wong, Russell W. Chan:
Standalone electrical impedance tomography predicts spirometry indicators and enables regional lung assessment. EMBC 2022: 3277-3280 - [i3]Andong Wang, Terence Chi Chun Tam, Ho Ming Poon, Kun-Chang Yu, Wei-Ning Lee:
NaviAirway: a bronchiole-sensitive deep learning-based airway segmentation pipeline for planning of navigation bronchoscopy. CoRR abs/2203.04294 (2022) - [i2]Andong Wang, Wei-Ning Lee, Xiaojuan Qi:
HINT: Hierarchical Neuron Concept Explainer. CoRR abs/2203.14196 (2022) - [i1]Andong Wang, Wei-Ning Lee:
Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector. CoRR abs/2205.11511 (2022) - 2021
- [j5]Yahua Wang, Wei-Ning Lee:
Non-Invasive Estimation of Localized Dynamic Luminal Pressure Change by Ultrasound Elastography in Arteries With Normal and Abnormal Geometries. IEEE Trans. Biomed. Eng. 68(5): 1627-1637 (2021)
2010 – 2019
- 2018
- [j4]Yang Zhang, Yuexin Guo, Wei-Ning Lee:
Ultrafast Ultrasound Imaging Using Combined Transmissions With Cross-Coherence-Based Reconstruction. IEEE Trans. Medical Imaging 37(2): 337-348 (2018) - [j3]Yang Zhang, Yuexin Guo, Wei-Ning Lee:
Ultrafast Ultrasound Imaging With Cascaded Dual-Polarity Waves. IEEE Trans. Medical Imaging 37(4): 906-917 (2018) - 2017
- [c5]Jessica E. T. Kabigting, Abigail D. Chen, Enoch Jing-Han Chang, Wei-Ning Lee, Robert C. Roberts:
MEMS pressure sensor array wearable for Traditional Chinese Medicine pulse-taking. BSN 2017: 59-62 - [c4]Enoch Jing-Han Chang, Yuexin Guo, Wei-Ning Lee:
Shear wave elastography for the characterization of arterial wall stiffness: A thin-plate phantom and ex vivo aorta study. ISBI 2017: 275-278 - 2012
- [j2]Wei-Ning Lee, Mathieu Pernot, Mathieu Couade, Emmanuel Messas, Patrick Bruneval, Alain Bel, Albert Hagege, Mathias Fink, Mickaël Tanter:
Mapping Myocardial Fiber Orientation Using Echocardiography-Based Shear Wave Imaging. IEEE Trans. Medical Imaging 31(3): 554-562 (2012) - 2010
- [j1]Jean Provost, Wei-Ning Lee, Kana Fujikura, Elisa E. Konofagou:
Electromechanical Wave Imaging of Normal and Ischemic Hearts In Vivo. IEEE Trans. Medical Imaging 29(3): 625-635 (2010) - [c3]Wei-Ning Lee, Jean Provost, Kana Fujikura, Jie Wang, Elisa E. Konofagou:
In vivo validation of myocardial elastography under graded ischemia conditions. ISBI 2010: 972-975
2000 – 2009
- 2007
- [c2]Wei-Ning Lee, Zhen Qian, Christina L. Tosti, Srirama V. Swaminathan, Truman R. Brown, Dimitris N. Metaxas, Elisa E. Konofagou:
Validation of Myocardial Elastography Using MR Tagging in Normal and Abnormal Human Hearts in Vivo. ISBI 2007: 384-387 - [c1]Zhen Qian, Wei-Ning Lee, Elisa E. Konofagou, Dimitris N. Metaxas, Leon Axel:
Ultrasound Myocardial Elastography and Registered 3D Tagged MRI: Quantitative Strain Comparison. MICCAI (1) 2007: 800-808
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