Donghang Lyu

According to our database, Donghang Lyu authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge.

Fanwen Wang, Zi Wang, Yan Li, Jun Lyu, Chen Qin, Shuo Wang, Kunyuan Guo, Mengting Sun, Mingkai Huang, Haoyu Zhang, Michael Tänzer, Qirong Li, Xinran Chen, Jiahao Huang, Yinzhe Wu, Haosen Zhang, Kian Anvari Hamedani, Yuntong Lyu, Longyu Sun, Qing Li, Tianxing He, Lizhen Lan, Qiong Yao, Ziqiang Xu, Bingyu Xin, Dimitris N. Metaxas, Narges Razizadeh, Shahabedin Nabavi, George Yiasemis, Jonas Teuwen, Zhenxi Zhang, Sha Wang, Chi Zhang, Daniel B. Ennis, Zhihao Xue, Chenxi Hu, Ruru Xu, Ilkay Öksüz, Donghang Lyu, Yanxin Huang, Xinrui Guo, Ruqian Hao, Jaykumar H. Patel, Guanke Cai, Binghua Chen, Yajing Zhang, Sha Hua, Zhensen Chen, Qi Dou, Xiahai Zhuang, Qian Tao, Wenjia Bai, Harry Qin, He Wang, Claudia Prieto, Michael Markl, Alistair A. Young, Hao Li, Xihong Hu, Lianming Wu, Xiaobo Qu, Guang Yang, Chengyan Wang

IEEE Trans. Medical Imaging, May, 2026

2025

Low-dose computed tomography perceptual image quality assessment.

Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah-Al-Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam S. Wang, Garry Evan Gold, Jang-Hwan Choi

Medical Image Anal., 2025

CRUNet-MR-Univ: A Foundation Model for Diverse Cardiac MRI Reconstruction.

Donghang Lyu, Marius Staring, Hildo J. Lamb, Mariya Doneva

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2025

KP-INR: A Dual-Branch Implicit Neural Representation Model for Cardiac Cine MRI Reconstruction.

Donghang Lyu, Marius Staring, Mariya Doneva, Hildo J. Lamb, Nicola Pezzotti

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2025

2024

Efficient MedSAMs: Segment Anything in Medical Images on Laptop.

Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang

CoRR, 2024

MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day.

Donghang Lyu, Ruochen Gao, Marius Staring

CoRR, 2024

UPCMR: A Universal Prompt-Guided Model for Random Sampling Cardiac MRI Reconstruction.

Donghang Lyu, Chinmay Rao, Marius Staring, Matthias J. P. van Osch, Mariya Doneva, Hildo J. Lamb, Nicola Pezzotti

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets.

Ruochen Gao, Donghang Lyu, Marius Staring

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024