no code implementations • 15 May 2023 • Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Wai Leong Tam, XiaoLi Li
Protein-protein interactions (PPIs) are crucial in various biological processes and their study has significant implications for drug development and disease diagnosis.
no code implementations • 11 May 2023 • Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou
To achieve efficient few-shot cross-modality segmentation, we propose a novel transformation-consistent meta-hallucination framework, meta-hallucinator, with the goal of learning to diversify data distributions and generate useful examples for enhancing cross-modality performance.
1 code implementation • 5 Dec 2022 • Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou
To assess the effectiveness of our method, we conduct extensive experiments on two different tasks for cross-modality segmentation between MRI and CT images.
1 code implementation • 5 Jul 2022 • Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan
With large-scale well-labeled datasets, deep learning has shown significant success in medical image segmentation.
1 code implementation • 5 Jul 2022 • Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan
While deep models have shown promising performance in medical image segmentation, they heavily rely on a large amount of well-annotated data, which is difficult to access, especially in clinical practice.
no code implementations • 22 May 2022 • Yiming Yao, Peisheng Qian, Ziyuan Zhao, Zeng Zeng
A glioma is a malignant brain tumor that seriously affects cognitive functions and lowers patients' life quality.
no code implementations • 22 May 2022 • Yaxin Zhu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng
Intracranial arteries are critical blood vessels that supply the brain with oxygenated blood.
1 code implementation • 14 May 2022 • Xu Kaixin, Liu Liyang, Zhao Ziyuan, Zeng Zeng, Bharadwaj Veeravalli
Multi-label Learning on Image data has been widely exploited with deep learning models.
1 code implementation • 14 May 2022 • Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan
Label scarcity has been a long-standing issue for biomedical image segmentation, due to high annotation costs and professional requirements.
1 code implementation • 31 Mar 2022 • Ziyuan Zhao, Peisheng Qian, Yubo Hou, Zeng Zeng
Automated facial age estimation has diverse real-world applications in multimedia analysis, e. g., video surveillance, and human-computer interaction.
1 code implementation • 23 Mar 2022 • Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan
Although deep unsupervised domain adaptation (UDA) can leverage well-established source domain annotations and abundant target domain data to facilitate cross-modality image segmentation and also mitigate the label paucity problem on the target domain, the conventional UDA methods suffer from severe performance degradation when source domain annotations are scarce.
no code implementations • 15 Aug 2021 • Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce KH Chow
Accurate automatic liver and tumor segmentation plays a vital role in treatment planning and disease monitoring.
Automatic Liver And Tumor Segmentation Image Segmentation +2
no code implementations • 15 Aug 2021 • Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, XiaoLi Li
Diabetic retinopathy (DR) is one of the most common eye conditions among diabetic patients.
1 code implementation • 21 May 2021 • Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan
Deep learning has achieved promising segmentation performance on 3D left atrium MR images.
no code implementations • 10 Mar 2021 • Chen Chai, Juanwu Lu, Xuan Jiang, Xiupeng Shi, Zeng Zeng
An AutoML method based on XGBoost, termed AutoGBM, is built as the classifier for prediction and feature ranking.
1 code implementation • 22 Jan 2021 • Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
We use the proposed criteria to select samples for strong and weak labelers to produce oracle labels and pseudo labels simultaneously at each active learning iteration in an ensemble learning manner, which can be examined with IoMT Platform.
no code implementations • 19 Jan 2021 • Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
The BSDP system contains four modules: bicycle drop-off location clustering, bicycle-station graph modeling, bicycle-station location prediction, and bicycle-station layout recommendation.
no code implementations • 19 Jan 2021 • Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
We model the DL-PBS system from the perspective of CPS and use deep learning to predict the layout of bicycle parking spots and the dynamic demand of bicycle dispatching.
no code implementations • 24 Nov 2020 • Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng
Secondly, we propose balanced Silhouette Index (bSI) to evaluate the internal quality of imbalanced clustering.
no code implementations • 29 Oct 2020 • Ziyuan Zhao, Kartik Chopra, Zeng Zeng, XiaoLi Li
Diabetes is one of the most common disease in individuals.
no code implementations • 29 May 2020 • Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng
Specifically, CNN is utilized to model the spatial relations and the short-term temporal dependencies among sensors, while the output features of CNN are fed into the GRU to learn the long-term temporal dependencies jointly.
no code implementations • 8 May 2020 • Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow
Gene mutation prediction in hepatocellular carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine.
no code implementations • 8 May 2020 • Jiapan Gu, Ziyuan Zhao, Zeng Zeng, Yuzhe Wang, Zhengyiren Qiu, Bharadwaj Veeravalli, Brian Kim Poh Goh, Glenn Kunnath Bonney, Krishnakumar Madhavan, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and the fourth most common cause of cancer-related death worldwide.
1 code implementation • 7 May 2020 • Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng
Segmentation is a prerequisite yet challenging task for medical image analysis.
no code implementations • 7 May 2020 • Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng
Water quality has a direct impact on industry, agriculture, and public health.
no code implementations • 24 Dec 2019 • Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
Specifically, with a diagnostic analysis, we show that the recurrent structure may not be effective to learn temporal dependencies than what we expected and implicitly yields an orderless representation.
no code implementations • 9 Nov 2019 • Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, ArulMurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar
In this paper, a multi-phase deep learning based technique is proposed to perform accurate fault detection of rail-valves.
no code implementations • 9 Oct 2019 • Malay Singh, Emarene Mationg Kalaw, Wang Jie, Mundher Al-Shabi, Chin Fong Wong, Danilo Medina Giron, Kian-Tai Chong, Maxine Tan, Zeng Zeng, Hwee Kuan Lee
In this paper, we present an annotated cribriform dataset along with analysis of deep learning models and hand-crafted features for cribriform pattern detection in prostate histopathological images.
no code implementations • 24 Aug 2019 • Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
Nonlinear regression has been extensively employed in many computer vision problems (e. g., crowd counting, age estimation, affective computing).
no code implementations • 7 May 2019 • Xiaoman Zhang, Ziyuan Zhao, Cen Chen, Songyou Peng, Min Wu, Zhongyao Cheng, Singee Teo, Le Zhang, Zeng Zeng
In this study, we applied powerful deep neural network and explored a process in the forecast of skeletal bone age with the specifically combine joints images to increase the performance accuracy compared with the whole hand images.
1 code implementation • 12 Mar 2019 • Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng
Segmentation stands at the forefront of many high-level vision tasks.
no code implementations • 15 Nov 2018 • Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
A fast and accurate predictive tool for polymer properties is demanding and will pave the way to iterative inverse design.
no code implementations • 6 Nov 2017 • Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Kim Jung Jae, Zeng Zeng, Vijay Chandrasekhar
In particular, we unify traditional "knowledgeless" machine learning models and knowledge graphs in a novel end-to-end framework.
1 code implementation • 17 Jun 2017 • Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Sibo Song, Yuan Fang, Seokhwan Kim, Nancy Chen, Luis Fernando D'Haro, Luu Anh Tuan, Hongyuan Zhu, Zeng Zeng, Ngai Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar
Beyond that, we extend the original competition by including text information in the classification, making this a truly multi-modal approach with vision, audio and text.
no code implementations • 26 May 2017 • Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar
We present a deep learning framework for computer-aided lung cancer diagnosis.
no code implementations • 3 Mar 2017 • Xulei Yang, Zeng Zeng, Si Yong Yeo, Colin Tan, Hong Liang Tey, Yi Su
In this study, a multi-task deep neural network is proposed for skin lesion analysis.