Progress in the Development of CdZnTe Unipolar Detectors for Different Anode Geometries and Data Corrections. - Qiushi Zhang; Congzhe Zhang; Yanye Lu; Kun Yang; Qiushi Ren (Sensors, 2013)

Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors. - Yanye Lu; Michael Manhart 001; Oliver Taubmann; Tobias Zobel; Qiao Yang; Jang Hwan Choi 001; Meng Wu; Arnd Doerfler; Rebecca Fahrig; Qiushi Ren; Joachim Hornegger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2015)

3-D printing based production of head and neck masks for radiation therapy using CT volume data: A fully automatic framework. - Shuqing Chen; Yanye Lu; Christian Hopfgartner; Michael Sühling; Stefan Steidl; Joachim Hornegger; Andreas K. Maier (ISBI, 2016)

Bridge to real data: Empirical multiple material calibration for learning-based material decomposition. - Yanye Lu; Martin Berger 002; Michael Manhart 001; Jang Hwan Choi 001; Martin Hoheisel; Markus Kowarschik; Rebecca Fahrig; Qiushi Ren; Joachim Hornegger; Andreas K. Maier (ISBI, 2016)

Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography. - Yixing Huang; Yanye Lu; Oliver Taubmann; Guenter Lauritsch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Traditional machine learning for limited angle tomography. - Yixing Huang; Yanye Lu; Oliver Taubmann; Guenter Lauritsch; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2019)

Learning the Superpixel in a Non-Iterative and Lifelong Manner. - Lei Zhu 012; Qi She; Bin Zhang; Yanye Lu; Zhilin Lu; Duo Li; Jie Hu 019 (CVPR, 2021)

Unifying Nonlocal Blocks for Neural Networks. - Lei Zhu 012; Qi She; Duo Li; Yanye Lu; Xuejing Kang; Jie Hu 019; Changhu Wang (ICCV, 2021)

A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy. - Mengdi Gao; Ximeng Feng; Mufeng Geng; Zhe Jiang; Lei Zhu 012; Xiangxi Meng 001; Chuanqing Zhou; Qiushi Ren; Yanye Lu (CoRR, 2021)

Background-aware Classification Activation Map for Weakly Supervised Object Localization. - Lei Zhu 012; Qi She; Qian Chen; Xiangxi Meng 001; Mufeng Geng; Lujia Jin; Zhe Jiang; Bin Qiu; Yunfei You; Yibao Zhang; Qiushi Ren; Yanye Lu (CoRR, 2021)

PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography. - Mufeng Geng; Zifeng Tian; Zhe Jiang; Yunfei You; Ximeng Feng; Yan Xia 002; Kun Yang; Qiushi Ren; Xiangxi Meng 001; Andreas Maier 001; Yanye Lu (IEEE Trans. Medical Imaging, 2021)

Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography. - Zhe Jiang; Zhiyu Huang; Bin Qiu; Xiangxi Meng 001; Yunfei You; Xi Liu; Mufeng Geng; Gangjun Liu; Chuanqing Zhou; Kun Yang; Andreas Maier 001; Qiushi Ren; et al. (IEEE Trans. Medical Imaging, 2021)

One-Pot Multi-Frame Denoising. - Lujia Jin; Shi Zhao; Lei Zhu 012; Qian Chen; Yanye Lu (BMVC, 2022)

Weakly Supervised Object Localization as Domain Adaption. - Lei Zhu 012; Qi She; Qian Chen; Yunfei You; Boyu Wang 004; Yanye Lu (CVPR, 2022)

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization. - Lei Zhu 012; Qian Chen; Lujia Jin; Yunfei You; Yanye Lu (ECCV (10), 2022)

Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling. - Huakun Yang; Qian Chen; Keren Fu; Lei Zhu 012; Lujia Jin; Bensheng Qiu; Qiushi Ren; Hongwei Du 004; Yanye Lu (Comput. Medical Imaging Graph., 2022)

Content-Noise Complementary Learning for Medical Image Denoising. - Mufeng Geng; Xiangxi Meng 001; Jiangyuan Yu; Lei Zhu 012; Lujia Jin; Zhe Jiang; Bin Qiu; Hui Li; Hanjing Kong; Jianmin Yuan; Kun Yang; Hongming Shan; et al. (IEEE Trans. Medical Imaging, 2022)

Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography. - Mufeng Geng; Xiangxi Meng 001; Lei Zhu 012; Zhe Jiang; Mengdi Gao; Zhiyu Huang; Bin Qiu; Yicheng Hu; Yibao Zhang; Qiushi Ren; Yanye Lu (IEEE Trans. Medical Imaging, 2022)

SGLSA: Sphygmus gated laser speckle angiography for microcirculation hemodynamics imaging. - Ximeng Feng; Mufeng Geng; Xiangxi Meng 001; Da Zou; Zi Jin; Gangjun Liu; Chuanqing Zhou; Qiushi Ren; Yanye Lu (Comput. Medical Imaging Graph., 2023)

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation. - Lei Zhu 012; Hangzhou He; Xinliang Zhang; Qian Chen; Shuang Zeng; Qiushi Ren; Yanye Lu (CoRR, 2023)

Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training. - Shuang Zeng; Lei Zhu 012; Xinliang Zhang; Zifeng Tian; Qian Chen; Lujia Jin; Jiayi Wang; Yanye Lu (CoRR, 2023)

Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis. - Mengdi Gao; Hongyang Jiang 001; Lei Zhu 012; Zhe Jiang; Mufeng Geng; Qiushi Ren; Yanye Lu (Medical Image Anal., 2023)

Background-Aware Classification Activation Map for Weakly Supervised Object Localization. - Lei Zhu 012; Qi She; Qian Chen; Xiangxi Meng 001; Mufeng Geng; Lujia Jin; Yibao Zhang; Qiushi Ren; Yanye Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label. - Xinliang Zhang; Lei Zhu 012; Hangzhou He; Lujia Jin; Yanye Lu (AAAI, 2024)

Beyond Text: Frozen Large Language Models in Visual Signal Comprehension. - Lei Zhu 012; Fangyun Wei; Yanye Lu (CVPR, 2024)

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. - Qian Chen; Lei Zhu 012; Hangzhou He; Xinliang Zhang; Shuang Zeng; Qiushi Ren; Yanye Lu (MICCAI (8), 2024)

Scaling the Codebook Size of VQ-GAN to 100, 000 with a Utilization Rate of 99%. - Lei Zhu 012; Fangyun Wei; Yanye Lu; Dong Chen (NeurIPS, 2024)

Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%. - Lei Zhu 012; Fangyun Wei; Yanye Lu; Dong Chen (CoRR, 2024)

One-Pot Multi-frame Denoising. - Lujia Jin; Qing Guo; Shi Zhao; Lei Zhu 012; Qian Chen; Qiushi Ren; Yanye Lu (Int. J. Comput. Vis., 2024)

3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond. - Qian Chen; Zhenxi Zhang; Yanye Lu; Keren Fu; Qijun Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

PCNet: Prior Category Network for CT Universal Segmentation Model. - Yixin Chen; Yajuan Gao; Lei Zhu 012; Wenrui Shao; Yanye Lu; Hongbin Han; Zhaoheng Xie (IEEE Trans. Medical Imaging, 2024)

Boosting Weakly Supervised Object Localization and Segmentation With Domain Adaption. - Lei Zhu 012; Qi She; Qian Chen; Qiushi Ren; Yanye Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. - Hangzhou He; Lei Zhu 012; Xinliang Zhang; Shuang Zeng; Qian Chen; Yanye Lu (AAAI, 2025)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation. - Zhenxin Lei; Man Yao; Jiakui Hu; Xinhao Luo; Yanye Lu; Bo Xu 002; Guoqi Li (AAAI, 2025)

Universal Image Restoration Pre-training via Degradation Classification. - Jiakui Hu; Lujia Jin; Zhengjian Yao; Yanye Lu (ICLR, 2025)

ECS-Net: Extracellular space segmentation with contrastive and shape-aware loss by using cryo-electron microscopy imaging. - Chuqiao Yang; Jiayi Xie; Xinrui Huang; Hanbo Tan; Qirun Li; Zeqing Tang; Xinlei Ma; Jiabin Lu; Qingyuan He; Wanyi Fu; Yixing Huang; Junhao Yan; et al. (Expert Syst. Appl., 2025)

Generative learning-based lightweight MRI brain tumor segmentation with missing modalities. - Xinliang Zhang; Qian Chen; Hangzhou He; Lei Zhu 012; Zhaoheng Xie; Yanye Lu; Fangxiao Cheng (Expert Syst. Appl., 2025)

Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT. - Xianghong Wang; Jiajun Xiang; Aihua Mao; Jiayi Xie; Peng Jin; Mingchao Ding; Yixuan Yuan; Yanye Lu; Lequan Yu; Hongmin Cai; Baiying Lei; Tianye Niu (IEEE Trans. Computational Imaging, 2025)

Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation. - Xinliang Zhang; Lei Zhu 012; Shuang Zeng; Hangzhou He; Ourui Fu; Zhengjian Yao; Zhaoheng Xie; Yanye Lu (CoRR, 2025)

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training. - Shuang Zeng; Lei Zhu 012; Xinliang Zhang; Hangzhou He; Yanye Lu (CoRR, 2025)

Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation. - Shuang Zeng; Chee Hong Lee; Micky C. Nnamdi; Wenqi Shi; J. Ben Tamo; Lei Zhu 012; Hangzhou He; Xinliang Zhang; Qian Chen; May D. Wang; Yanye Lu; Qiushi Ren (CoRR, 2025)

Training-free Test-time Improvement for Explainable Medical Image Classification. - Hangzhou He; Jiachen Tang; Lei Zhu 012; Kaiwen Li; Yanye Lu (CoRR, 2025)

Enhancing Image Restoration Transformer via Adaptive Translation Equivariance. - Jiakui Hu; Zhengjian Yao; Lujia Jin; Hangzhou He; Yanye Lu (CoRR, 2025)

Auto-Regressively Generating Multi-View Consistent Images. - JiaKui Hu; Yuxiao Yang; Jialun Liu; Jinbo Wu; Chen Zhao; Yanye Lu (CoRR, 2025)

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation. - Lei Zhu 012; Xinliang Zhang; Hangzhou He; Qian Chen; Sha Li; Shuang Zeng; Yibao Zhang; Qiushi Ren; Yanye Lu (IEEE Trans. Neural Networks Learn. Syst., 2025)

I2R: Inter and Intra-image Refinement in Few Shot Segmentation. - Ourui Fu; Hangzhou He; Xinliang Zhang; Lei Zhu 012; Shuang Zeng; Zhaoheng Xie; Yanye Lu (CoRR, 2025)