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节选的部分论文
期刊论文
[1] Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji, “PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI,” accepted by IEEE Journal of Selected Topics in Signal Processing 2022.
[2] Jian Zhang, Zhenyu Zhang, Jingfen Xie, Yongbing Zhang, “High-Throughput Deep Unfolding Network for Compressive Sensing MRI,” accepted by IEEE Journal of Selected Topics in Signal Processing 2022.
[3] Jun Liao, Xu Chen, Ge Ding, Pei Dong, Hu Ye, Han Wang, Yongbing Zhang, and Jianhua Yao, “Deep learning-based single-shot autofocus method for digital microscopy,” Biomed. Opt. Express, vol. 13, no.1, pp. 314-327, 2022.
[4] Bowen Li, Shiyu Tan, Jiuyang Dong, Xiaocong Lian, Yongbing Zhang, Xiangyang Ji, Ashok Veeraraghavan, “3D volumetric microscopy of thick scattering samples using a wide-field microscope and machine learning,” Biomed. Opt. Express, vol. 13, no.1, pp. 284-299, 2022.
[5] Yue Huang, Shaowei Jiang, Ruihai Wang, Pengming Song, Jian Zhang, Guoan Zheng, Xiangyang Ji, and Yongbing Zhang, “Ptychography-based high-throughput lensless on-chip microscopy via incremental proximal algorithms,” accepted by Optics Express 2021, vol. 29, no.23, pp.37892-37906.
[6] Kaifa Xin, Shaowei Jiang, Xu Chen, Yonghong He, Jian Zhang, Hongpeng Wang, Honghai Liu, Qin Peng, Yongbing Zhang, and Xiangyang Ji, Accelerated Low-cost whole slide imaging system with single-shot autofocusing based on color multiplexed illumination and deep learning, Biomed. Opt. Express, vol. 12, no.9, pp.5644-5657, 2021.
会议论文
[1] Zhuchen Shao, Yifeng Wang, Yang Chen, Hao Bian, Shaohui Liu, Haoqian Wang, Yongbing Zhang, " LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image," ICCV 2023
[2] Yiyang Lin, Yifeng Wang, Yang Chen, Zirui Zhu, Zijie Fang, Miaorun Lin, and Yongbing Zhang, "Unpaired H&E to PR Stain Transfer with Self-Supervised Auxiliary Segmentation," Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2023
[3] Zexin Li, Yiyang Lin, Yifeng Wang, Zijie Fang, Hao Bian, Runze Hu, Xiu Li, and Yongbing Zhang, “ST-MKSC: The FF-FFPE Stain Transfer based on Multiple Key Structure Constraint,” IEEE International Symposium on Biomedical Imaging (ISBI) 2023.
[4] Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan, “Accurate Image Restoration with Attention Retractable Transformer,” Accepted by ICLR 2023 （入选亮点论文）
[5] Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang, “Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint,” Accepted by AAAI 2023
[6] Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang, “HVTSurv: Hierarchical Vision Transformer for Patient-level Survival Prediction from Whole Slide Image,” Accepted by AAAI 2023
[7] Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan, “Cross Aggregation Transformer for Image Restoration,” Accepted by NeurIPS 2022 spotlight
[8] Bowei Zeng, Yiyang Lin, Yifeng Wang, Yang Chen, Jiuyang Dong, Xi Li, and Yongbing Zhang, “Semi-Supervised PR Virtual Staining for Breast Histopathological Images,” Accepted by MICCAI, Student Travel Award, 2022.
[9] Hao Bian, Zhucen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, and Yongbing Zhang, “Multiple Instance Learning with Mixed Supervision in Gleason Grading,” Accepted by MICCAI 2022.
[10] Yangen Zhan, Hao Bian, Yang Chen, Xiu Li, Yongbing Zhang, “Breast tumor image classification in bright challenge via multiple instance learning and deep transformers,” Accepted by ISBI 2022.
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