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2020 – today
- 2024
[j9]Evi M. C. Huijben
, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero:
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97: 103276 (2024)- [i2]Ruizhi Zhu, Xinru Zhang, Haowen Pang, Chundan Xu, Chuyang Ye:
Advancing Brain Tumor Inpainting with Generative Models. CoRR abs/2402.01509 (2024) - 2023
- [j8]Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. Artif. Intell. Medicine 143: 102637 (2023) - [j7]Jia Li, Hao Zhou, Xiaofei Lu, Yiren Wang, Haowen Pang, Daniel Cesar, Aiai Liu, Ping Zhou:
Preoperative prediction of cervical cancer survival using a high-resolution MRI-based radiomics nomogram. BMC Medical Imaging 23(1): 153 (2023) - [j6]Yanan Wu, Ran Du, Jie Feng, Shouliang Qi, Haowen Pang, Shuyue Xia, Wei Qian:
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field. Biomed. Signal Process. Control. 79(Part): 104162 (2023) - [j5]Meihuan Wang, Shouliang Qi, Yanan Wu, Yu Sun, Runsheng Chang, Haowen Pang, Wei Qian:
CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images. Biomed. Signal Process. Control. 82: 104565 (2023) - [j4]Haowen Pang, Shouliang Qi, Yanan Wu, Meihuan Wang, Chen Li, Yu Sun, Wei Qian, Guoyan Tang, Jiaxuan Xu, Zhenyu Liang, Rongchang Chen:
NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. Comput. Methods Programs Biomed. 231: 107389 (2023) - [j3]Yanan Wu, Shouliang Qi, Meihuan Wang, Shuiqing Zhao, Haowen Pang, Jiaxuan Xu, Long Bai, Hongliang Ren:
Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images. Medical Biol. Eng. Comput. 61(10): 2649-2663 (2023) - [j2]Yanan Wu, Haowen Pang, Jing Shen, Shouliang Qi, Jie Feng, Yong Yue, Wei Qian, Jianlin Wu:
Depicting and predicting changes of lung after lobectomy for cancer by using CT images. Medical Biol. Eng. Comput. 61(11): 3049-3066 (2023) - 2022
- [j1]Haowen Pang, Yanan Wu, Shouliang Qi, Chen Li, Jing Shen, Yong Yue, Wei Qian, Jianlin Wu:
A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. Comput. Biol. Medicine 147: 105792 (2022) - [c1]Ziqi Shan, Yuying Wang, Shunzhong Wei, Xiangmin Li, Haowen Pang, Xinmei Zhou:
Docscanner: document location and enhancement based on image segmentation. CIS 2022: 98-101 - [i1]Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images. CoRR abs/2212.07651 (2022)
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last updated on 2024-10-07 21:25 CEST by the dblp team
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