no code implementations • 11 Jan 2024 • Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
In this paper, we propose to use inter-modality learning to label previously un-labelable cell types on virtual H&E.
no code implementations • 22 Sep 2023 • Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman
In this study, we adopt an unpaired image translation approach to investigate harmonization between and across reconstruction kernels from different manufacturers by constructing a multipath cycle generative adversarial network (GAN).
2 code implementations • 10 Mar 2023 • Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Li, Yuankai Huo, Xenofon Koutsoukos, Bennett A. Landman
We hypothesize that convolution with LK sizes is limited to maintain an optimal convergence for locality learning.
1 code implementation • 28 Sep 2022 • Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
Transformer-based models, capable of learning better global dependencies, have recently demonstrated exceptional representation learning capabilities in computer vision and medical image analysis.
1 code implementation • 13 Jul 2022 • Kaiwen Xu, Thomas Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
We evaluate the validity of the proposed method in automatic BC assessment using lung screening CT with limited FOV.
no code implementations • 17 Jun 2022 • Riqiang Gao, Thomas Li, Yucheng Tang, Zhoubing Xu, Michael Kammer, Sanja L. Antic, Kim Sandler, Fabien Moldonado, Thomas A. Lasko, Bennett Landman
We believe that this study has merits to guide readers to choose calibration models and understand gaps between general computer vision and medical imaging domains.
no code implementations • 4 Mar 2022 • Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
Efficiently quantifying renal structures can provide distinct spatial context and facilitate biomarker discovery for kidney morphology.
no code implementations • 23 Apr 2021 • Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas Li
This paper aims to verify the existence of aliasing in TAL methods and investigate utilizing low pass filters to solve this problem by inhibiting the high-frequency band.
no code implementations • ICCV 2021 • Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song
The existing two unsupervised methods are prone to failure on degenerated samples.
1 code implementation • 10 Dec 2020 • Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas Li
This issue makes the generator lack the incentive from the discriminator to learn high-frequency content of data, resulting in a significant spectrum discrepancy between generated images and real images.
1 code implementation • 8 Nov 2019 • Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas Li, Ge Li
Generic object detection algorithms have proven their excellent performance in recent years.
1 code implementation • NeurIPS 2019 • Xiaoming Yu, Yuanqi Chen, Thomas Li, Shan Liu, Ge Li
Recent advances of image-to-image translation focus on learning the one-to-many mapping from two aspects: multi-modal translation and multi-domain translation.
1 code implementation • 28 Jun 2019 • Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
In recent years, memory-augmented neural networks(MANNs) have shown promising power to enhance the memory ability of neural networks for sequential processing tasks.
no code implementations • 6 Nov 2018 • Weijie Kong, Nannan Li, Shan Liu, Thomas Li, Ge Li
Despite tremendous progress achieved in temporal action detection, state-of-the-art methods still suffer from the sharp performance deterioration when localizing the starting and ending temporal action boundaries.
1 code implementation • 11 Oct 2018 • Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas Li, Ge Li
Besides, we explore variants of SingleGAN for different tasks, including one-to-many domain translation, many-to-many domain translation and one-to-one domain translation with multimodality.
no code implementations • 27 Sep 2018 • Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
Processing sequential data with long term dependencies and learn complex transitions are two major challenges in many deep learning applications.
no code implementations • 26 Jun 2018 • Xiaoming Yu, Zhenqiang Ying, Thomas Li, Shan Liu, Ge Li
Recent advances in image-to-image translation have seen a rise in approaches generating diverse images through a single network.