Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Lisheng Wang

Lisheng Wang

Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation

Mar 14, 2023
Tao Yang, Lisheng Wang

Figure 1 for Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation

Figure 2 for Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation

Figure 3 for Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation

Figure 4 for Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation

* 10 pages, 2 figures

Access Paper or Ask Questions

3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations

Feb 07, 2023
Huai Chen, Xiuying Wang, Lisheng Wang

Figure 1 for 3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations

Figure 2 for 3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations

Figure 3 for 3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations

Figure 4 for 3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations

* Submitted to IEEE TMI Journal

Access Paper or Ask Questions

A Multi-Stage Framework for the 2022 Multi-Structure Segmentation for Renal Cancer Treatment

Jul 19, 2022
Yusheng Liu, Zhongchen Zhao, Lisheng Wang

Figure 1 for A Multi-Stage Framework for the 2022 Multi-Structure Segmentation for Renal Cancer Treatment

Access Paper or Ask Questions

Fetal Brain Tissue Annotation and Segmentation Challenge Results

Apr 20, 2022
Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab

Figure 1 for Fetal Brain Tissue Annotation and Segmentation Challenge Results

Figure 2 for Fetal Brain Tissue Annotation and Segmentation Challenge Results

Figure 3 for Fetal Brain Tissue Annotation and Segmentation Challenge Results

Figure 4 for Fetal Brain Tissue Annotation and Segmentation Challenge Results

* Results from FeTA Challenge 2021, held at MICCAI; Manuscript submitted

Access Paper or Ask Questions

Unsupervised Local Discrimination for Medical Images

Aug 21, 2021
Huai Chen, Renzhen Wang, Jieyu Li, Qing Peng, Deyu Meng, Lisheng Wang

Figure 1 for Unsupervised Local Discrimination for Medical Images

Figure 2 for Unsupervised Local Discrimination for Medical Images

Figure 3 for Unsupervised Local Discrimination for Medical Images

Figure 4 for Unsupervised Local Discrimination for Medical Images

* 16 pages, 9 figures

Access Paper or Ask Questions

COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19

Dec 31, 2020
Guoqing Bao, Huai Chen, Tongliang Liu, Guanzhong Gong, Yong Yin, Lisheng Wang, Xiuying Wang

Figure 1 for COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19

Figure 2 for COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19

Figure 3 for COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19

Figure 4 for COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19

* COVID-19 research; computer vision and pattern recognition; 13 pages, 10 figures and 5 tables

Access Paper or Ask Questions

Unsupervised Learning of Local Discriminative Representation for Medical Images

Dec 17, 2020
Huai Chen, Jieyu Li, Renzhen Wang, Yijie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang

Figure 1 for Unsupervised Learning of Local Discriminative Representation for Medical Images

Figure 2 for Unsupervised Learning of Local Discriminative Representation for Medical Images

Figure 3 for Unsupervised Learning of Local Discriminative Representation for Medical Images

Figure 4 for Unsupervised Learning of Local Discriminative Representation for Medical Images

* 13 pages, 4 figures

Access Paper or Ask Questions

MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma

Jan 22, 2019
Huai Chen, Yuxiao Qi, Yong Yin, Tengxiang Li, Guanzhong Gong, Lisheng Wang

Figure 1 for MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma

Figure 2 for MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma

Figure 3 for MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma

Figure 4 for MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma

* 37 pages, 11 figures

Access Paper or Ask Questions

Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Aug 01, 2018
Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu

Figure 1 for Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Figure 2 for Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Figure 3 for Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Figure 4 for Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

* Heran Yang, et al. Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images, Medical Image Analysis, 2018, ISSN 1361-8415
* Medical Image Analysis

Access Paper or Ask Questions