no code implementations • 18 Mar 2024 • Keyu Li, Hanxue Gu, Roy Colglazier, Robert Lark, Elizabeth Hubbard, Robert French, Denise Smith, Jikai Zhang, Erin McCrum, Anthony Catanzano, Joseph Cao, Leah Waldman, Maciej A. Mazurowski, Benjamin Alman
To address these challenges and the lack of interpretability found in certain existing automated methods, we have created fully automated software that not only precisely measures the Cobb angle but also provides clear visualizations of these measurements.
no code implementations • 13 Jun 2023 • Ziyang Jiang, Yiling Liu, Michael H. Klein, Ahmed Aloui, Yiman Ren, Keyu Li, Vahid Tarokh, David Carlson
This is important in many scientific applications to identify the underlying mechanisms of a treatment effect.
no code implementations • 3 Feb 2023 • Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Hunter Klein, Vahid Tarokh, David Carlson
To address this limitation, we propose a novel generalization bound that reweights source classification error by aligning source and target sub-domains.
1 code implementation • 26 Jan 2023 • Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson
A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images.
no code implementations • 5 Jan 2023 • Ang Li, Jiayi Han, Yongjian Zhao, Keyu Li, Li Liu
While the US is not a standard paradigm for spinal surgery, the scarcity of intra-operative clinical US data is an insurmountable bottleneck in training a neural network.
1 code implementation • CVPR 2023 • Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li
Oriented at this, we revisit the key components within perception and prediction, and prioritize the tasks such that all these tasks contribute to planning.
1 code implementation • 16 Mar 2022 • Hanxue Gu, Keyu Li, Roy J. Colglazier, Jichen Yang, Michael Lebhar, Jonathan O'Donnell, William A. Jiranek, Richard C. Mather, Rob J. French, Nicholas Said, Jikai Zhang, Christine Park, Maciej A. Mazurowski
We propose a novel deep learning-based five-step algorithm to automatically grade KOA from posterior-anterior (PA) views of radiographs: (1) image preprocessing (2) localization of knees joints in the image using the YOLO v3-Tiny model, (3) initial assessment of the severity of osteoarthritis using a convolutional neural network-based classifier, (4) segmentation of the joints and calculation of the joint space narrowing (JSN), and (5), a combination of the JSN and the initial assessment to determine a final Kellgren-Lawrence (KL) score.
no code implementations • 3 Nov 2021 • Keyu Li, Yangxin Xu, Jian Wang, Dong Ni, Li Liu, Max Q. -H. Meng
Ultrasound (US) imaging is commonly used to assist in the diagnosis and interventions of spine diseases, while the standardized US acquisitions performed by manually operating the probe require substantial experience and training of sonographers.
no code implementations • 9 Oct 2021 • Keyu Li, Ye Lu, Max Q. -H. Meng
In recent years, the growing demand for more intelligent service robots is pushing the development of mobile robot navigation algorithms to allow safe and efficient operation in a dense crowd.
1 code implementation • 9 Oct 2021 • Keyu Li, Yangxin Xu, Max Q. -H. Meng
In order to shorten the examination time and reduce the cognitive burden on the sonographers, we present a classification method that combines the deep learning techniques and k-Nearest-Neighbor (k-NN) classification to automatically recognize various abdominal organs in the ultrasound images in real time.
no code implementations • 1 Mar 2021 • Keyu Li, Jian Wang, Yangxin Xu, Hao Qin, Dongsheng Liu, Li Liu, Max Q. -H. Meng
Furthermore, we propose a confidence-based approach to encode the optimization of image quality in the learning process.
no code implementations • CUHK Course IERG5350 2020 • Keyu Li, Ye Lu
In recent years, the growing demand for more intelligent service robots is pushing the development of mobile robot navigation algorithms.
1 code implementation • 20 Jan 2020 • Keyu Li, Yangxin Xu, Jiankun Wang, Max Q.-H. Meng
In a human-robot coexisting environment, reaching the goal position safely and efficiently is essential for a mobile service robot.
no code implementations • 10 Feb 2018 • Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li
To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).