Shuo Wang

According to our database, Shuo Wang authored at least 52 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.

Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai

IEEE Trans. Medical Imaging, March, 2024

TestFit: A plug-and-play one-pass test time method for medical image segmentation.

Yizhe Zhang, Tao Zhou, Yuhui Tao, Shuo Wang, Ye Wu, Benyuan Liu, Pengfei Gu, Qiang Chen, Danny Z. Chen

Medical Image Anal., February, 2024

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.

Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo

Medical Image Anal., 2024

STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution.

Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I. Avilés-Rivero, Jing Qin

Medical Image Anal., 2024

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification.

Kexue Fu, Xiaoyuan Luo, Linhao Qu, Shuo Wang, Ying Xiong, Ilias Maglogiannis, Longxiang Gao, Manning Wang

CoRR, 2024

A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics.

Mengyun Qiao, Kathryn A. McGurk, Shuo Wang, Paul M. Matthews, Declan P. O'Regan, Wenjia Bai

CoRR, 2024

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang

CoRR, 2024

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation.

Tianyu Huang, Tao Zhou, Weidi Xie, Shuo Wang, Qi Dou, Yizhe Zhang

CoRR, 2024

Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation.

Zhiwei Yang, Kexue Fu, Minghong Duan, Linhao Qu, Shuo Wang, Zhijian Song

CoRR, 2024

Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.

Yizhe Zhang, Tao Zhou, Ye Wu, Pengfei Gu, Shuo Wang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation.

Yizhe Zhang, Tao Zhou, Qiang Chen, Qi Dou, Shuo Wang

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis.

Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation.

Qing Li, Yizhe Zhang, Yan Li, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang, Chengyan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images.

Yizhe Zhang, Tao Zhou, Ye Wu, Shuo Wang, Danny Z. Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction.

Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin

Medical Image Anal., April, 2023

Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence.

Yan Zhu, Danfeng Zhang, Huili Wu, Peiyao Fu, Li Feng, Kun Zhuang, Zihan Geng, Kunkun Li, Xiaohong Zhang, Boqun Zhu, Wenzheng Qin, Shengli Lin, Zhen Zhang, Tianyin Chen, Yuan Huang, Xiaoyue Xu, Jingzheng Liu, Shuo Wang, Wei Zhang, Quanlin Li, Pinghong Zhou

npj Digit. Medicine, 2023

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior.

Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2023

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model.

Yizhe Zhang, Shuo Wang, Tao Zhou, Qi Dou, Danny Z. Chen

CoRR, 2023

Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models.

Shuo Wang, Yan Zhu, Xiaoyuan Luo, Zhiwei Yang, Yizhe Zhang, Peiyao Fu, Manning Wang, Zhijian Song, Quanlin Li, Pinghong Zhou, Yike Guo

CoRR, 2023

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.

Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Ying-Hua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu

CoRR, 2023

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.

Yizhe Zhang, Tao Zhou, Shuo Wang, Ye Wu, Pengfei Gu, Danny Z. Chen

CoRR, 2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.

Yizhe Zhang, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification.

Yizhe Zhang, Shuo Wang, Yejia Zhang, Danny Z. Chen

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification.

Linhao Qu, Zhiwei Yang, Minghong Duan, Yingfan Ma, Shuo Wang, Manning Wang, Zhijian Song

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19.

Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo

PLoS Comput. Biol., 2022

Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations.

Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang, Yuan Huang, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen

Medical Image Anal., 2022

Suggestive annotation of brain MR images with gradient-guided sampling.

Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai

Medical Image Anal., 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2022

EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset).

Haoran Wang, Yan Zhu, Wenzheng Qin, Yizhe Zhang, Pinghong Zhou, Quanlin Li, Shuo Wang, Zhijian Song

CoRR, 2022

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion).

Shuo Wang, Chen Qin, Chengyan Wang, Kang Wang, Haoran Wang, Chen Chen, Cheng Ouyang, Xutong Kuang, Chengliang Dai, Yuanhan Mo, Zhang Shi, Chenchen Dai, Xinrong Chen, He Wang, Wenjia Bai

CoRR, 2022

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data.

Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.

Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.

Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

CoRR, 2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

CoRR, 2021

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation.

Nicoló Savioli, Antonio de Marvao, Wenjia Bai, Shuo Wang, Stuart A. Cook, Calvin W. L. Chin, Daniel Rueckert, Declan P. O'Regan

CoRR, 2021

Product semantics translation from brain activity via adversarial learning.

Pan Wang, Zhifeng Gong, Shuo Wang, Hao Dong, Jialu Fan, Ling Li, Peter R. N. Childs, Yike Guo

CoRR, 2021

Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics.

Kexin Wang, Shuo Wang, Minghua Xiong, Chengyan Wang, He Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.

Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Quality-Aware Model Ensemble for Brain Tumor Segmentation.

Kang Wang, Haoran Wang, Zeyang Li, Mingyuan Pan, Manning Wang, Shuo Wang, Zhijian Song

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling.

Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai

CoRR, 2020

An Epidemiological Modelling Approach for Covid19 via Data Assimilation.

Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo

CoRR, 2020

Efficient Deep Representation Learning by Adaptive Latent Space Sampling.

Yuanhan Mo, Shuo Wang, Chengliang Dai, Rui Zhou, Zhongzhao Teng, Wenjia Bai, Yike Guo

CoRR, 2020

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19.

Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo

IEEE Comput. Intell. Mag., 2020

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation.

Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.

Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling.

Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.

Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction.

Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Bayesian Inference-Based Estimation of Normal Aortic, Aneurysmal and Atherosclerotic Tissue Mechanical Properties: From Material Testing, Modeling and Histology.

Shuo Wang, Aziz Tokgoz, Yuan Huang, Yongxue Zhang, Jiaxuan Feng, Priya Sastry, Chang Sun, Nichola Figg, Qingsheng Lu, Michael P. F. Sutcliffe, Zhongzhao Teng, Jonathan H. Gillard

IEEE Trans. Biomed. Eng., 2019

Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction.

Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2014

Exploiting small world property for network clustering.

Tieyun Qian, Qing Li, Jaideep Srivastava, Zhiyong Peng, Yang Yang, Shuo Wang

World Wide Web, 2014

2010

Refining Graph Partitioning for Social Network Clustering.

Tieyun Qian, Yang Yang, Shuo Wang

Proceedings of the Web Information Systems Engineering - WISE 2010, 2010