no code implementations • ECCV 2020 • Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li
Today's computer-aided diagnosis (CAD) model is still far from the clinical practice of glaucoma detection, mainly due to the training bias originating from 1) the normal-abnormal class imbalance and 2) the rare but significant hard samples in fundus images.
no code implementations • 17 Feb 2025 • Yanbiao Ma, Bowei Liu, Wei Dai, Jiayi Chen, Shuo Li
Deep neural networks (DNNs) often exhibit biases toward certain categories during object recognition, even under balanced training data conditions.
no code implementations • 6 Feb 2025 • Ruiyi Li, Yuting He, Rongjun Ge, Chong Wang, Daoqiang Zhang, Yang Chen, Shuo Li
To leverage gaze information and human cognition for guiding domain adaptation, we propose gaze-assisted human-centric domain adaptation (GAHCDA), which reliably guides the domain adaptation of cardiac ultrasound images.
1 code implementation • 18 Jan 2025 • Xinjie Liang, Xiangyu Li, Fanding Li, Jie Jiang, Qing Dong, Wei Wang, Kuanquan Wang, Suyu Dong, Gongning Luo, Shuo Li
2) A knowledge injector is proposed to construct relationships between categories and visual attributes, which help the model to make judgments based on image features, and fosters knowledge extrapolation to unfamiliar disease categories.
no code implementations • 14 Jan 2025 • Shuo Li, Mehrdad Yaghoobi
Hyperspectral images are typically composed of hundreds of narrow and contiguous spectral bands, each containing information regarding the material composition of the imaged scene.
no code implementations • 1 Jan 2025 • Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou. Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang
Multi-objective evolutionary algorithms (MOEAs) are widely used for searching optimal solutions in complex multi-component applications.
1 code implementation • 17 Dec 2024 • Qingtao Pan, Wenhao Qiao, Jingjiao Lou, Bing Ji, Shuo Li
Vision-Language Model (VLM) has great potential to enhance pseudo labels by introducing text prompt guided multimodal supervision information.
no code implementations • 7 Nov 2024 • Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet
An open question in \emph{Imprecise Probabilistic Machine Learning} is how to empirically derive a credal region (i. e., a closed and convex family of probabilities on the output space) from the available data, without any prior knowledge or assumption.
no code implementations • 15 Oct 2024 • Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xiaohui Zhao, Tao Gui, Qi Zhang, Xuanjing Huang
Our findings indicate that the ability to prevent sycophancy is predominantly observed in higher layers of the model.
1 code implementation • 8 Oct 2024 • Botong Zhang, Shuo Li, Osbert Bastani
In addition, we demonstrate how our approach can be applied in domains where the prediction sets can be represented as a set of nodes in a directed acyclic graph; for instance, for hierarchical labels such as image classification, a prediction set might be a small subset of coarse labels implicitly representing the prediction set of all their more fine-descendants.
1 code implementation • 2 Oct 2024 • Yuxin Liu, Rongjun Ge, Yuting He, Zhan Wu, Chenyu You, Shuo Li, Yang Chen
However, with the reduction of imaging standards, the image quality has also been reduced, extremely limiting the clinical acceptability.
no code implementations • 30 Sep 2024 • Kaini Wang, Ling Yang, Siping Zhou, Guangquan Zhou, Wentao Zhang, Bin Cui, Shuo Li
To address these challenges, we have developed a decomposed-composed universal medical imaging paradigm (UniMed) that supports tasks at all levels.
no code implementations • 30 Sep 2024 • Kaini Wang, Haolin Wang, Guang-Quan Zhou, Yangang Wang, Ling Yang, Yang Chen, Shuo Li
CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks.
1 code implementation • 25 Sep 2024 • Xian Wang, Jin Zhou, Yuanli Feng, Jiahao Mei, Jiming Chen, Shuo Li
Recent innovations in autonomous drones have facilitated time-optimal flight in single-drone configurations and enhanced maneuverability in multi-drone systems through the application of optimal control and learning-based methods.
no code implementations • 3 Sep 2024 • Chengqian Zhao, Zhao Yao, Zhaoyu Hu, Yuanxin Xie, Yafang Zhang, Yuanyuan Wang, Shuo Li, Jianhua Zhou, Jianqiao Zhou, Yin Wang, Jinhua Yu
In the intelligent diagnosis of bimodal (gray-scale and contrast-enhanced) ultrasound videos, medical domain knowledge such as the way sonographers browse videos, the particular areas they emphasize, and the features they pay special attention to, plays a decisive role in facilitating precise diagnosis.
no code implementations • 2 Jul 2024 • Shuo Li, Yubo Cui, Zhiheng Li, Zheng Fang
Specifically, by estimating the flow for each point in the target, our method could capture the local motion details of target, thereby improving the tracking performance.
no code implementations • 31 May 2024 • Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
The emerging causal recommendation methods achieve this by modeling the causal effect between user behaviors, however potentially neglect unobserved confounders (\eg, friend suggestions) that are hard to measure in practice.
1 code implementation • 29 May 2024 • Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding
The growing safety concerns surrounding large language models raise an urgent need to align them with diverse human preferences to simultaneously enhance their helpfulness and safety.
no code implementations • 19 Apr 2024 • Shuo Li, Mike Davies, Mehrdad Yaghoobi
Hyperspectral imaging (HSI) is a key technology for earth observation, surveillance, medical imaging and diagnostics, astronomy and space exploration.
1 code implementation • 4 Apr 2024 • Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban
Language Models (LMs) have shown promising performance in natural language generation.
3 code implementations • 6 Feb 2024 • Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski
We introduce MOMENT, a family of open-source foundation models for general-purpose time series analysis.
1 code implementation • 30 Jan 2024 • Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
This technique introduces a fusion network to unify the processing of outputs from different visual experts, while bridging the gap between image encoders and pre-trained LLMs.
Ranked #120 on
Visual Question Answering
on MM-Vet
no code implementations • 22 Jan 2024 • Zhenyu Wu, Fengmao Lv, Chenglizhao Chen, Aimin Hao, Shuo Li
Colorectal polyp segmentation (CPS), an essential problem in medical image analysis, has garnered growing research attention.
1 code implementation • 23 Aug 2023 • Zhiheng Li, Yu Lin, Yubo Cui, Shuo Li, Zheng Fang
3D single object tracking with LiDAR points is an important task in the computer vision field.
1 code implementation • 14 Jul 2023 • Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang
To address these issues, we propose the Knowledge-Boosting Contrastive Vision-Language Pre-training framework (KoBo), which integrates clinical knowledge into the learning of vision-language semantic consistency.
1 code implementation • 7 Jul 2023 • Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
To address this challenge, we propose the Trustworthy Retrieval Augmented Question Answering, or $\textit{TRAQ}$, which provides the first end-to-end statistical correctness guarantee for RAG.
1 code implementation • 13 Jun 2023 • Shuo Li, Mehrdad Yaghoobi
Hyperspectral images are typically composed of hundreds of narrow and contiguous spectral bands, each containing information about the material composition of the imaged scene.
no code implementations • 12 Jun 2023 • Shuo Li, Mehrdad Yaghoobi
It is shown that LRS-PnP is able to predict missing pixels and bands even when all spectral bands of the image are missing.
no code implementations • 7 Apr 2023 • Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao
Efficient automatic segmentation of multi-level (i. e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications.
1 code implementation • CVPR 2023 • Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li
We propose a novel visual similarity learning paradigm, Geometric Visual Similarity Learning, which embeds the prior of topological invariance into the measurement of the inter-image similarity for consistent representation of semantic regions.
no code implementations • 9 Jan 2023 • Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li
It is intended to resolve the above-mentioned problems and promote the development of both intracranial hemorrhage segmentation and anisotropic data processing.
no code implementations • ICCV 2023 • Shuo Li, Yue He, Weiming Zhang , Wei zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang
Current state-of-the-art semi-supervised semantic segmentation (SSSS) methods typically adopt pseudo labeling and consistency regularization between multiple learners with different perturbations.
1 code implementation • CVPR 2023 • Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
Experiments demonstrate the efficacy of the partial-covering patch in solving the complex bounding box problem.
no code implementations • 13 Dec 2022 • Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li
This paper attempts to answer this unexplored question by proving a hypothesis: there is a point-labeled dataset where saliency models trained on it can achieve equivalent performance when trained on the densely annotated dataset.
1 code implementation • 10 Nov 2022 • Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng
Automated detecting lung infections from computed tomography (CT) data plays an important role for combating COVID-19.
1 code implementation • 25 Oct 2022 • Zhenyu Wu, Lin Wang, Wei Wang, Tengfei Shi, Chenglizhao Chen, Aimin Hao, Shuo Li
In this paper, we propose a novel yet effective method for SOD, coined SODGAN, which can generate infinite high-quality image-mask pairs requiring only a few labeled data, and these synthesized pairs can replace the human-labeled DUTS-TR to train any off-the-shelf SOD model.
1 code implementation • European Conference on Computer Vision 2022 • Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jia
Most few-shot image classification methods are trained based on tasks.
no code implementations • MICCAI 2022 2022 • Xiaoming Qi, Guanyu Yang, Yuting He, Wangyan Liu, Ali Islam, Shuo Li
In this work, a cross-center cross-sequence medical image segmentation FL framework (FedCRLD) is proposed for the first time to facilitate multi-center multi-sequence CMR segmentation.
no code implementations • 16 Jul 2022 • Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie
To address these limitations, we propose a novel dual knowledge-enhanced generative pretrained language model for multimodal task-oriented dialog systems (DKMD), consisting of three key components: dual knowledge selection, dual knowledge-enhanced context learning, and knowledge-enhanced response generation.
1 code implementation • 4 Jul 2022 • Kai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou, Shuo Li
Reliable automatic classification of colonoscopy images is of great significance in assessing the stage of colonic lesions and formulating appropriate treatment plans.
1 code implementation • 21 Jun 2022 • Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li
The morphological changes in knee cartilage (especially femoral and tibial cartilages) are closely related to the progression of knee osteoarthritis, which is expressed by magnetic resonance (MR) images and assessed on the cartilage segmentation results.
1 code implementation • 15 Jun 2022 • Jiacheng Shi, Yuting He, Youyong Kong, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, Shuo Li
An effective backbone network is important to deep learning-based Deformable Medical Image Registration (DMIR), because it extracts and matches the features between two images to discover the mutual correspondence for fine registration.
1 code implementation • 14 Jun 2022 • Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
Therefore, automatic TC estimation is significant in clinical practice.
no code implementations • 22 May 2022 • Shuo Li, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, Insup Lee
Anomaly detection is essential for preventing hazardous outcomes for safety-critical applications like autonomous driving.
2 code implementations • 10 May 2022 • Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li
The nature of thick-slice scanning causes severe inter-slice discontinuities of 3D medical images, and the vanilla 2D/3D convolutional neural networks (CNNs) fail to represent sparse inter-slice information and dense intra-slice information in a balanced way, leading to severe underfitting to inter-slice features (for vanilla 2D CNNs) and overfitting to noise from long-range slices (for vanilla 3D CNNs).
no code implementations • 15 Apr 2022 • Shuo Li, Sangdon Park, Xiayan Ji, Insup Lee, Osbert Bastani
Accurately detecting and tracking multi-objects is important for safety-critical applications such as autonomous navigation.
no code implementations • 7 Jan 2022 • Jianfeng Zhao, Dengwang Li, Shuo Li
In this study, we propose a united adversarial learning framework (UAL) for simultaneous liver tumors segmentation and detection using multi-modality NCMRI.
no code implementations • 5 Nov 2021 • Leilei Gan, Yating Zhang, Kun Kuang, Lin Yuan, Shuo Li, Changlong Sun, Xiaozhong Liu, Fei Wu
Dialogue summarization has been extensively studied and applied, where the prior works mainly focused on exploring superior model structures to align the input dialogue and the output summary.
no code implementations • 15 Aug 2021 • Song Wang, Yuting He, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang
We propose a novel weakly supervised learning framework, Cycle Prototype Network, for 3D renal compartment segmentation.
no code implementations • 19 Jul 2021 • Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen
We introduce a system for optimal resource allocation that can predict performance with aggressive trade-offs, for both new and past observed queries.
no code implementations • 9 Jun 2021 • Shuo Li, Matteo Pozzi
We focus on the value of collecting information at current time, and on that of collecting sequential information, we illustrate how these values are related and we discuss how IA and IOV can occur in those settings.
no code implementations • 8 Jun 2021 • Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li
3)We propose the adversarial weighted ensemble module which uses the trained discriminators to evaluate the quality of segmented structures, and normalizes these evaluation scores for the ensemble weights directed at the input image, thus enhancing the ensemble results.
no code implementations • 29 Jan 2021 • Shuo Li, Junjie He, Petr Nachtigall, Lukas Grajciar, Federico Brivio
Our results indicate that both bulk phase and isolated $VS_4$ NWs are semiconductors with band gaps of 2. 24 and 2. 64 eV, respectively, and that they prefer the antiferromagnetic (AFM) ground state based on DFT calculations.
Materials Science Strongly Correlated Electrons Chemical Physics Computational Physics Quantum Physics A.0
no code implementations • 23 Dec 2020 • Haoliang Sun, XianTong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li
The Cobb angle that quantitatively evaluates the spinal curvature plays an important role in the scoliosis diagnosis and treatment.
no code implementations • 22 Dec 2020 • Xinwen Shu, Wenjie Zhang, Shuo Li, Ning Jiang, Liming Dou, Zhen Yan, Fu-Guo Xie, Rongfeng Shen, Luming Sun, Fukun Liu, Tinggui Wang
Optical transient surveys have led to the discovery of dozens of stellar tidal disruption events (TDEs) by massive black hole in the centers of galaxies.
High Energy Astrophysical Phenomena Astrophysics of Galaxies
no code implementations • 10 Dec 2020 • Bing Chen, Shuo Li, Xianfei Hou, Feifei Zhou, Peng Qian, Feng Mei, Suotang Jia, Nanyang Xu, Heng Shen
Quantum simulator with the ability to harness the dynamics of complex quantum systems has emerged as a promising platform for probing exotic topological phases.
Quantum Physics
no code implementations • ICLR 2021 • Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani
In our experiments, we demonstrate that our approach can be used to provide guarantees for state-of-the-art DNNs.
no code implementations • ECCV 2020 • Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li
Deep learning-based medical image registration and segmentation joint models utilize the complementarity (augmentation data or weakly supervised data from registration, region constraints from segmentation) to bring mutual improvement in complex scene and few-shot situation.
no code implementations • 7 Jun 2020 • Cong Wang, Qifeng Zhang, Qiyan Tian, Shuo Li, Xiaohui Wang, David Lane, Yvan Petillot, Ziyang Hong, Sen Wang
Tracking and grasping a dynamic object with a random trajectory is even harder.
no code implementations • 28 Apr 2020 • Zhongyi Han, Benzheng Wei, Yilong Yin, Shuo Li
In this paper, we propose the neural-symbolic learning (NSL) framework that performs human-like learning by unifying deep neural learning and symbolic logical reasoning for the spinal medical report generation.
no code implementations • 2 Feb 2020 • Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David Firmin, Jennifer Keegan
Using our MVTT recursive attention model, both the LA anatomy and scar can be segmented accurately (mean Dice score of 93% for the LA anatomy and 87% for the scar segmentations) and efficiently (~0. 27 seconds to simultaneously segment the LA anatomy and scars directly from the 3D LGE CMR dataset with 60-68 2D slices).
no code implementations • 24 Oct 2019 • Shuo Li, Osbert Bastani
We build on the idea of model predictive shielding (MPS), where a backup controller is used to override the learned policy as needed to ensure safety.
no code implementations • 24 Jul 2019 • Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li
Our method is built as an end-to-end framework for segmentation and classification.
no code implementations • 20 Jul 2019 • Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li
The proposed DMQCA model consists of a multiview module with two attention mechanisms, a key-frame module, and a regression module, to achieve direct accurate multiple-index estimation.
1 code implementation • 14 Jun 2018 • Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li
The CARN architecture is composed of a cascade amplifier network (CAN) for expressive feature embedding and a linear regression model for multiple indices estimation.
no code implementations • 14 Jun 2018 • Wufeng Xue, Gary Brahm, Stephanie Leung, Ogla Shmuilovich, Shuo Li
Experiments on 1440 myocardium segments of 90 subjects from short axis MR sequences of multiple lengths prove that Cardiac-MOS achieves reliable performance, with correlation of 0. 926 for motion score index estimation and accuracy of 77. 4\% for motion scoring.
no code implementations • 10 Jun 2018 • Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li
And cGAN advantageously fuses substantial 3D spatial context information from 3D echocardiography by self-learning structured loss; 2) For the first time, it embeds the atlas into an end-to-end optimization framework, which uses 3D LV atlas as a powerful prior knowledge to improve the inference speed, address the lower contrast and the limited annotation problems of 3D echocardiography; 3) It combines traditional discrimination loss and the new proposed consistent constraint, which further improves the generalization of the proposed framework.
no code implementations • CVPR 2017 • Haoliang Sun, Xian-Tong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li
Image-set classification has recently generated great popularity due to its widespread applications in computer vision.
no code implementations • 10 Jun 2017 • Chenchu Xu, Lei Xu, Zhifan Gao, Shen zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo Ghista, Shuo Li
Accurate detection of the myocardial infarction (MI) area is crucial for early diagnosis planning and follow-up management.
no code implementations • 6 Jun 2017 • Liansheng Wang, Shusheng Li, Shuo Li
With the uniform distribution of random points, our proposed method achieves more accurate results compared with other methods, which demonstrates the robustness and accuracy for the volume calculation of CT lung lesions.
no code implementations • 6 Jun 2017 • Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warringto, Shuo Li
Cardiac left ventricle (LV) quantification is among the most clinically important tasks for identification and diagnosis of cardiac diseases, yet still a challenge due to the high variability of cardiac structure and the complexity of temporal dynamics.
no code implementations • 26 May 2017 • Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey, James Warrington, Stephanie Leung, Shuo Li
Accurate estimation of regional wall thicknesses (RWT) of left ventricular (LV) myocardium from cardiac MR sequences is of significant importance for identification and diagnosis of cardiac disease.
2 code implementations • 25 May 2017 • Wufeng Xue, Ali Islam, Mousumi Bhaduri, Shuo Li
However, estimation of multitype cardiac indices with consistently reliable and high accuracy is still a great challenge due to the high variability of cardiac structures and complexity of temporal dynamics in cardiac MR sequences.
no code implementations • 21 Oct 2015 • Xiantong Zhen, Shuo Li
Direct methods have recently emerged as an effective and efficient tool in automated medical image analysis and become a trend to solve diverse challenging tasks in clinical practise.
no code implementations • 28 Sep 2015 • Xuan Luo, Xuejiao Bai, Shuo Li, Hongtao Lu, Sei-ichiro Kamata
This is partially because our DTs overcome the extreme greediness of the MST.
no code implementations • CVPR 2015 • Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li
In this paper, we propose a novel supervised descriptor learning (SDL) algorithm to establish a discriminative and compact feature representation for multi-output regression.
1 code implementation • 19 Dec 2014 • Min Lin, Shuo Li, Xuan Luo, Shuicheng Yan
In this paper, we introduce a novel deep learning framework, termed Purine.
no code implementations • LREC 2014 • Liang Tian, Derek F. Wong, Lidia S. Chao, Paulo Quaresma, Francisco Oliveira, Yi Lu, Shuo Li, Yiming Wang, Long-Yue Wang
This paper describes the acquisition of a large scale and high quality parallel corpora for English and Chinese.