Junzhi Ning

According to our database, Junzhi Ning authored at least 27 papers between 2023 and 2026.

Collaborative distances:

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

2026

MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline.

Jiyao Liu, Jianghan Shen, Sida Song, Tianbin Li, Xiaojia Liu, Rongbin Li, Ziyan Huang, Jiashi Lin, Junzhi Ning, Changkai Ji, Siqi Luo, Wenjie Li, Chenglong Ma, Ming Hu, Jing Xiong, Jin Ye, Bin Fu, Ningsheng Xu, Yirong Chen, Lei Ji, Hong Chen, Junjun He

CoRR, April, 2026

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark.

Junzhi Ning, Jiashi Lin, Yingying Fang, Wei Li, Jiyao Liu, Cheng Tang, Chenglong Ma, Wenhao Tang, Tianbin Li, Ziyan Huang, Guang Yang, Junjun He

CoRR, April, 2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development.

Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.

CoRR, March, 2026

MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment.

Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu

CoRR, March, 2026

MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling.

Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu

CoRR, March, 2026

Open World MRI Reconstruction with Bias-Calibrated Adaptation.

Jiyao Liu, Shangqi Gao, Lihao Liu, Junzhi Ning, Jinjie Wei, Junjun He, Xiahai Zhuang, Ningsheng Xu

CoRR, March, 2026

MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations.

Jiyao Liu, Junzhi Ning, Chenglong Ma, Wanying Qu, Jianghan Shen, Siqi Luo, Jinjie Wei, Jin Ye, Pengze Li, Tianbin Li, Jiashi Lin, Hongming Shan, Xinzhe Luo, Xiaohong Liu, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, March, 2026

2025

UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis.

Junzhi Ning, Wei Li, Cheng Tang, Jiashi Lin, Chenglong Ma, Chaoyang Zhang, Jiyao Liu, Ying Chen, Shujian Gao, Lihao Liu, Yuandong Pu, Huihui Xu, Chenhui Gou, Ziyan Huang, Yi Xin, Qi Qin, Zhongying Deng, Diping Song, Bin Fu, Guang Yang, Yuanfeng Ji, Tianbin Li, Yanzhou Su, Jin Ye, Shixiang Tang, Ming Hu, Junjun He

CoRR, October, 2025

MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs.

Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Xinzhe Luo, Pengcheng Chen, Xin Gao, Ming Hu, Huihui Xu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, October, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He

CoRR, August, 2025

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning?

Xin Wang, Jiyao Liu, Yulong Xiao, Junzhi Ning, Lihao Liu, Junjun He, Botian Shi, Kaicheng Yu

CoRR, June, 2025

Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents.

Jinjie Wei, Jiyao Liu, Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang

CoRR, June, 2025

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation.

Chenglong Ma, Yuanfeng Ji, Jin Ye, Zilong Li, Chenhui Wang, Junzhi Ning, Wei Li, Lihao Liu, Qiushan Guo, Tianbin Li, Junjun He, Hongming Shan

CoRR, May, 2025

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model.

Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijin Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He

CoRR, May, 2025

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning.

Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He

CoRR, April, 2025

Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment.

Junzhi Ning, Dominic C. Marshall, Yijian Gao, Xiaodan Xing, Yang Nan, Yingying Fang, Sheng Zhang, Matthieu Komorowski, Guang Yang

Pattern Recognit. Lett., 2025

DMRN: A Dynamical Multi-Order Response Network for the Robust Lung Airway Segmentation.

Sheng Zhang, Jinge Wu, Junzhi Ning, Guang Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization.

Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions.

Junzhi Ning, Cheng Tang, Kaijing Zhou, Diping Song, Lihao Liu, Ming Hu, Wei Li, Huihui Xu, Yanzhou Su, Tianbin Li, Jiyao Liu, Jin Ye, Sheng Zhang, Yuanfeng Ji, Junjun He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration.

Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model.

Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijing Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Unveiling the Capabilities of Latent Diffusion Models for Classification of Lung Diseases in Chest X-Rays.

Junzhi Ning, Xiaodan Xing, Sheng Zhang, Xiao Ma, Guang Yang

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation.

Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Zhiling Yue, Yijian Gao, Junzhi Ning, Zhi Li, Simon Walsh, Guang Yang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts.

Yijian Gao, Dominic C. Marshall, Xiaodan Xing, Junzhi Ning, Giorgos Papanastasiou, Guang Yang, Matthieu Komorowski

CoRR, 2024

Decoding Report Generators: A Cyclic Vision-Language Adapter for Counterfactual Explanations.

Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Yijian Gao, Junzhi Ning, Zhiling Yue, Zhi Li, Simon L. F. Walsh, Guang Yang

CoRR, 2024

Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning.

Xiaodan Xing, Junzhi Ning, Yang Nan, Guang Yang

CoRR, 2024

2023

Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance.

Junzhi Ning, Mingming Gong

Proceedings of the Databases Theory and Applications, 2023