Nan-Jie Gong

According to our database, Nan-Jie Gong authored at least 6 papers between 2019 and 2026.

Collaborative distances:

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

2026

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework.

Ziheng Guo, Danqun Zheng, Shuai Li, Chengwei Chen, Boyang Pan, Xuezhou Li, Ziqin Yu, Langdi Zhong, Chenwei Shao, Yun Bian, Nan-Jie Gong

CoRR, April, 2026

Deep Learning Superresolution for 7T Knee MR Imaging: Impact on Image Quality and Diagnostic Performance.

Pinzhen Chen, Libo Xu, Boyang Pan, Jing Li, Yuting Wang, Ran Xiong, Xiaoli Gou, Long Qing, Wenjing Hou, Nan-Jie Gong, Wei Chen

CoRR, January, 2026

2025

AutoLugano: A Deep Learning Framework for Fully Automated Lymphoma Segmentation and Lugano Staging on FDG-PET/CT.

Boyang Pan, Zeyu Zhang, Hongyu Meng, Bin Cui, Yingying Zhang, Wenli Hou, Junhao Li, Langdi Zhong, Xiaoxiao Chen, Xiaoyu Xu, Changjin Zuo, Chao Cheng, Nan-Jie Gong

CoRR, December, 2025

2024

Clinical performance of deep learning-enhanced ultrafast whole-body scintigraphy in patients with suspected malignancy.

Na Qi, Boyang Pan, Qingyuan Meng, Yihong Yang, Jie Ding, Zengbei Yuan, Nan-Jie Gong, Jun Zhao

BMC Medical Imaging, December, 2024

2021

Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data.

Jingjia Chen, Nan-Jie Gong, Khallil Taverna Chaim, María Concepción García Otaduy, Chunlei Liu

NeuroImage, 2021

2019

Imaging beta amyloid aggregation and iron accumulation in Alzheimer's disease using quantitative susceptibility mapping MRI.

Nan-Jie Gong, Russell Dibb, Marjolein Bulk, Louise van der Weerd, Chunlei Liu

NeuroImage, 2019