no code implementations • 16 Apr 2024 • Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang
Protein-protein interactions (PPIs) play key roles in a broad range of biological processes.
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.
no code implementations • 28 Mar 2023 • Ziyuan Zhao, Kaixin Xu, Huai Zhe Yeo, Xulei Yang, Cuntai Guan
Our method demonstrates promising segmentation performance with a mean Dice score of 83. 8% and 81. 4% and an average asymmetric surface distance (ASSD) of 0. 55 mm and 0. 26 mm for the VS and Cochlea, respectively in the validation phase of the crossMoDA 2022 challenge.
no code implementations • 4 Mar 2023 • Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
A popular track of network compression approach is Quantization aware Training (QAT), which accelerates the forward pass during the neural network training and inference.
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.
no code implementations • 5 Dec 2022 • Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang
Deep learning has achieved notable success in 3D object detection with the advent of large-scale point cloud datasets.
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.
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 • 17 Jun 2022 • Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
Experiments against eight state-of-the-art methods show that TF-C outperforms baselines by 15. 4% (F1 score) on average in one-to-one settings (e. g., fine-tuning an EEG-pretrained model on EMG data) and by 8. 4% (precision) in challenging one-to-many settings (e. g., fine-tuning an EEG-pretrained model for either hand-gesture recognition or mechanical fault prediction), reflecting the breadth of scenarios that arise in real-world applications.
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.
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.
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 +3
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.
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 • 29 Oct 2020 • Ziyuan Zhao, Kartik Chopra, Zeng Zeng, XiaoLi Li
Diabetes is one of the most common disease in individuals.
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.
1 code implementation • 15 May 2019 • Ziyuan Zhao, Kerui Zhang, Xuejie Hao, Jing Tian, Matthew Chin Heng Chua, Li Chen, Xin Xu
Diabetic retinopathy (DR) is a common retinal disease that leads to blindness.
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.