Search Results for author: Keyu Li

Found 14 papers, 5 papers with code

Deep learning automates Cobb angle measurement compared with multi-expert observers

no code implementations18 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.

Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators

no code implementations13 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.

Domain Adaptation via Rebalanced Sub-domain Alignment

no code implementations3 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.

Unsupervised Domain Adaptation

Estimating Causal Effects using a Multi-task Deep Ensemble

1 code implementation26 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.

Enabling Augmented Segmentation and Registration in Ultrasound-Guided Spinal Surgery via Realistic Ultrasound Synthesis from Diagnostic CT Volume

no code implementations5 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.


Planning-oriented Autonomous Driving

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.

Autonomous Driving Philosophy

Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance

1 code implementation16 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.

Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework

no code implementations3 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.

Anatomy Decision Making +2

Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning

no code implementations9 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.

Decision Making Reinforcement Learning (RL) +1

Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor Classification

1 code implementation9 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.

Classification Dimensionality Reduction +1

Learning Mobile Robot Navigation in the Dense Crowd with Deep Reinforcement Learning

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.

Decision Making reinforcement-learning +2

SARL*: Deep Reinforcement Learning based Human-Aware Navigation for Mobile Robot in Indoor Environments

1 code implementation20 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.

reinforcement-learning Reinforcement Learning (RL)

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

no code implementations10 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).

Transfer Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.