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ORCIDJunzhi Ning
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2020 – today
- 2025
[j1]Junzhi Ning, Dominic C. Marshall, Yijian Gao, Xiaodan Xing, Yang Nan, Yingying Fang, Sheng Zhang, Matthieu Komorowski, Guang Yang
:
Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment. Pattern Recognit. Lett. 193: 21-28 (2025)- [c3]Junzhi Ning, Xiaodan Xing, Sheng Zhang, Xiao Ma, Guang Yang:
Unveiling the Capabilities of Latent Diffusion Models for Classification of Lung Diseases in Chest X-Rays. ISBI 2025: 1-5 - [c2]Sheng Zhang, Jinge Wu, Junzhi Ning, Guang Yang:
DMRN: A Dynamical Multi-Order Response Network for the Robust Lung Airway Segmentation. WACV 2025: 4036-4045 - [i9]Junzhi Ning, Dominic C. Marshall, Yijian Gao, Xiaodan Xing, Yang Nan, Yingying Fang, Sheng Zhang, Matthieu Komorowski, Guang Yang:
Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment. CoRR abs/2503.19860 (2025) - [i8]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:
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. CoRR abs/2504.01886 (2025) - [i7]Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijin Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He:
Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. CoRR abs/2505.07449 (2025) - [i6]Chenglong Ma, Yuanfeng Ji, Jin Ye, Zilong Li, Chenhui Wang, Junzhi Ning, Wei Li, Lihao Liu, Qiushan Guo, Tianbin Li, Junjun He, Hongming Shan:
MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation. CoRR abs/2505.19225 (2025) - [i5]Jinjie Wei, Jiyao Liu, Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang:
Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents. CoRR abs/2506.17913 (2025) - [i4]Xin Wang, Jiyao Liu, Yulong Xiao, Junzhi Ning, Lihao Liu, Junjun He, Botian Shi, Kaicheng Yu:
THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? CoRR abs/2506.21763 (2025) - 2024
- [i3]Xiaodan Xing, Junzhi Ning, Yang Nan, Guang Yang:
Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning. CoRR abs/2410.13823 (2024) - [i2]Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Yijian Gao, Junzhi Ning, Zhiling Yue, Zhi Li, Simon L. F. Walsh, Guang Yang:
Decoding Report Generators: A Cyclic Vision-Language Adapter for Counterfactual Explanations. CoRR abs/2411.05261 (2024) - [i1]Yijian Gao, Dominic C. Marshall, Xiaodan Xing, Junzhi Ning, Giorgos Papanastasiou, Guang Yang, Matthieu Komorowski:
Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts. CoRR abs/2411.10789 (2024) - 2023
- [c1]Junzhi Ning, Mingming Gong:
Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. ADC 2023: 164-182
Coauthor Index
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