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2020 – today
- 2024
[j3]Youyi Song
, Jeremy Yuen-Chun Teoh, Kup-Sze Choi, Jing Qin:
Dynamic Loss Weighting for Multiorgan Segmentation in Medical Images. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10651-10662 (2024)- [c5]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-Guided Real-Time Cardiac Ultrasound Frame-to-Volume Registration. MICCAI (2) 2024: 618-628 - [i2]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration. CoRR abs/2406.14534 (2024) - 2022
- [j2]Guanjin Wang, Kup-Sze Choi, Jeremy Yuen-Chun Teoh, Jie Lu:
Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines. IEEE Trans. Cybern. 52(5): 3207-3220 (2022) - 2020
- [j1]Guanjin Wang, Jeremy Yuen-Chun Teoh, Jie Lu, Kup-Sze Choi:
Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data. Int. J. Mach. Learn. Cybern. 11(8): 1909-1922 (2020) - [c4]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. ISBI 2020: 325-328 - [c3]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. MICCAI (4) 2020: 176-186 - [c2]Youyi Song, Teng Zhou, Jeremy Yuen-Chun Teoh, Jing Zhang, Jing Qin:
Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing. MICCAI (4) 2020: 309-320 - [i1]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images. CoRR abs/2004.03882 (2020)
2010 – 2019
- 2018
- [c1]Guanjin Wang, Jeremy Yuen-Chun Teoh, Kup-Sze Choi:
Diagnosis of prostate cancer in a Chinese population by using machine learning methods. EMBC 2018: 1-4
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