no code implementations • 21 Dec 2023 • Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon LF Walsh, Guang Yang
The online validation set incorporated 52 HRCT scans from patients with fibrotic lung disease and the offline test set included 140 cases from fibrosis and COVID-19 patients.
1 code implementation • 18 Dec 2023 • Zhihao Yu, Chaohe Zhang, Yasha Wang, Wen Tang, Jiangtao Wang, Liantao Ma
Predicting health risks from electronic health records (EHR) is a topic of recent interest.
1 code implementation • 7 Jun 2023 • Yinghao Zhu, Jingkun An, Enshen Zhou, Lu An, Junyi Gao, Hao Li, Haoran Feng, Bo Hou, Wen Tang, Chengwei Pan, Liantao Ma
In healthcare AI, these attributes can play a significant role in determining the quality of care that individuals receive.
1 code implementation • 10 Mar 2023 • Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Ya'nan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raul San Jose Estepar, Carlos Cano Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu
In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image resolution.
1 code implementation • 17 Jan 2023 • Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang
Here, our objective is to develop a deep learning model for a real-time, individualized, and interpretable mortality prediction model - AICare.
3 code implementations • 16 Sep 2022 • Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Ewen M. Harrison, Liantao Ma
Many deep learning models have been proposed to conduct clinical predictive tasks such as mortality prediction for COVID-19 patients in intensive care units using Electronic Health Record (EHR) data.
1 code implementation • 13 Jun 2022 • Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang
In clinical practice, anisotropic volumetric medical images with low through-plane resolution are commonly used due to short acquisition time and lower storage cost.
1 code implementation • 13 Jun 2022 • Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang
Previous methods typically lack the integration of local and global information.
1 code implementation • 13 Jun 2022 • Wen Tang, Haoyue Zhang, Pengxin Yu, Han Kang, Rongguo Zhang
Several deep learning-based methods are proposed for the OS time prediction on multi-modal MRI problems.
no code implementations • 21 Apr 2022 • Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao
Thus, to address the issues, we expect to group up strongly correlated features and learn feature correlations in a group-wise manner to reduce the learning complexity without losing generality.
1 code implementation • 13 Jul 2021 • Jiangbo Yuan, An-Ti Chiang, Wen Tang, Antonio Haro
This motivated creation of eProduct, a dataset consisting of 2. 5 million product images towards accelerating development in the areas of self-supervised learning, weakly-supervised learning, and multimodal learning, for fine-grained recognition.
no code implementations • 22 Jun 2021 • Michael Cohen, Wen Tang, Yanjing Wang
In this paper, we propose a lightweight yet powerful dynamic epistemic logic that captures not only the distinction between de dicto and de re knowledge but also the distinction between de dicto and de re updates.
no code implementations • 21 Apr 2021 • Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
Based on its great successes in inference and denosing tasks, Dictionary Learning (DL) and its related sparse optimization formulations have garnered a lot of research interest.
no code implementations • 17 Jul 2020 • Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang
Due to the characteristics of COVID-19, the epidemic develops rapidly and overwhelms health service systems worldwide.
no code implementations • 18 Feb 2020 • Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
On account of its many successes in inference tasks and denoising applications, Dictionary Learning (DL) and its related sparse optimization problems have garnered a lot of research interest.
1 code implementation • 24 Jan 2020 • Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
Compared to the best baseline model, StageNet achieves up to 12% higher AUPRC for risk prediction task on two real-world patient datasets.
1 code implementation • 27 Nov 2019 • Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao
Predicting the patient's clinical outcome from the historical electronic medical records (EMR) is a fundamental research problem in medical informatics.
1 code implementation • 27 Nov 2019 • Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma
It also models the correlation between clinical features to enhance the ones which strongly indicate the health status and thus can maintain a state-of-the-art performance in terms of prediction accuracy while providing qualitative interpretability.
no code implementations • 13 Jun 2019 • Wen Tang, Ashkan Panahi, Hamid Krim
Zero-shot learning (ZSL) which aims to recognize unseen object classes by only training on seen object classes, has increasingly been of great interest in Machine Learning, and has registered with some successes.
1 code implementation • 18 Mar 2019 • Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang
Furthermore, MUSEFood uses the microphone and the speaker to accurately measure the vertical distance from the camera to the food in a noisy environment, thus scaling the size of food in the image to its actual size.
no code implementations • 7 Mar 2019 • Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Discriminative Dictionary Learning (DL) methods have been widely advocated for image classification problems.
1 code implementation • 13 Jul 2018 • Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
A consensus structured analysis dictionary and a global classifier are jointly learned in the distributed approach to safeguard the discriminative power and the efficiency of classification.
1 code implementation • 2 May 2018 • Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
We propose a computationally efficient and high-performance classification algorithm by incorporating class structural information in analysis dictionary learning.
1 code implementation • 14 Mar 2018 • Long Chen, Wen Tang, Nigel John, Tao Ruan Wan, Jian Jun Zhang
Mixed Reality (MR) is a powerful interactive technology that yields new types of user experience.
no code implementations • 14 Mar 2018 • Long Chen, Wen Tang, Nigel John
Convolutional Neural Networks (CNNs) need large amounts of data with ground truth annotation, which is a challenging problem that has limited the development and fast deployment of CNNs for many computer vision tasks.
no code implementations • 3 Aug 2017 • Long Chen, Wen Tang, Nigel W. John
The potential of Augmented Reality (AR) technology to assist minimally invasive surgeries (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes.
no code implementations • 3 Aug 2017 • Long Chen, Karl Francis, Wen Tang
In Augmented Reality (AR) environment, realistic interactions between the virtual and real objects play a crucial role in user experience.
no code implementations • 3 Aug 2017 • Long Chen, Thomas Day, Wen Tang, Nigel W. John
Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice.
no code implementations • 1 Mar 2017 • Long Chen, Wen Tang, Nigel W. John, Tao Ruan Wan, Jian Jun Zhang
In vivo laparoscopic videos used in the tests have demonstrated the robustness and accuracy of our proposed framework on both camera tracking and surface reconstruction, illustrating the potential of our algorithm for depth augmentation and depth-corrected augmented reality in MIS with monocular endoscopes.
Simultaneous Localization and Mapping Surface Reconstruction