Large-scale localization of touching somas from 3D images using density-peak clustering. - Shenghua Cheng; Tingwei Quan; Xiaomao Liu; Shaoqun Zeng (BMC Bioinform., 2016)

Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization. - Xihao Chen; Jingya Yu; Li Chen; Shaoqun Zeng; Xiuli Liu; Shenghua Cheng (CoRR, 2019)

DeepBouton: Automated Identification of Single-Neuron Axonal Boutons at the Brain-Wide Scale. - Shenghua Cheng; Xiaojun Wang; Yurong Liu; Lei Su; Tingwei Quan; Ning Li; Fangfang Yin; Feng Xiong; Xiaomao Liu; Qingming Luo; Hui Gong; Shaoqun Zeng (Frontiers Neuroinformatics, 2019)

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. - Péter Bándi; Oscar Geessink; Quirine Manson; Marcory Van Dijk; Maschenka Balkenhol; Meyke Hermsen; Babak Ehteshami Bejnordi; Byungjae Lee; Kyunghyun Paeng; Aoxiao Zhong; Quanzheng Li; Farhad Ghazvinian Zanjani; et al. (IEEE Trans. Medical Imaging, 2019)

FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides. - Xiebo Geng; Sibo Liu; Wei Han; Xu Li; Jiabo Ma; Jingya Yu; Xiuli Liu; Shaoqun Zeng; Li Chen; Shenghua Cheng (CoRR, 2020)

Reconstruct high-resolution multi-focal plane images from a single 2D wide field image. - Jiabo Ma; Sibo Liu; Shenghua Cheng; Xiuli Liu; Li Cheng; Shaoqun Zeng (CoRR, 2020)

PathSRGAN: Multi-Supervised Super-Resolution for Cytopathological Images Using Generative Adversarial Network. - Jiabo Ma; Jingya Yu; Sibo Liu; Li Chen; Xu Li; Jie Feng 013; Zhixing Chen; Shaoqun Zeng; Xiuli Liu; Shenghua Cheng (IEEE Trans. Medical Imaging, 2020)

An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Spatial Features using Deep Learning. - Ziquan Wei; Shenghua Cheng; Xiuli Liu; Shaoqun Zeng (CoRR, 2021)

Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data. - Ziquan Wei; Shenghua Cheng; Xiuli Liu; Shaoqun Zeng (CoRR, 2022)

Cervical cytopathology image refocusing via multi-scale attention features and domain normalization. - Xiebo Geng; Xiuli Liu; Shenghua Cheng; Shaoqun Zeng (Medical Image Anal., 2022)

STSRNet: Self-Texture Transfer Super-Resolution and Refocusing Network. - Jiabo Ma; Sibo Liu; Shenghua Cheng; Ruixi Chen; Xiuli Liu; Li Chen; Shaoqun Zeng (IEEE Trans. Medical Imaging, 2022)

ParamNet: A Parameter-variable Network for Fast Stain Normalization. - Hongtao Kang; Die Luo; Li Chen; Junbo Hu; Shenghua Cheng; Tingwei Quan; Shaoqun Zeng; Xiuli Liu (CoRR, 2023)

Disentanglement of content and style features in multi-center cytology images via contrastive self-supervised learning. - Chongzhe Tian; Xiuli Liu; Shenghua Cheng; Jiaxin Bai; Li Chen; Shaoqun Zeng (Biomed. Signal Process. Control., 2024)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - Yiping Jiao; Jeroen van der Laak; Shadi Albarqouni; Zhang Li; Tao Tan; Abhir Bhalerao; Shenghua Cheng; Jiabo Ma; John Pocock; Josien P. W. Pluim; Navid Alemi Koohbanani; Raja Muhammad Saad Bashir; et al. (IEEE J. Biomed. Health Informatics, 2024)

An online adaptive augmentation strategy for cervical cytopathology image recognition. - Hongmei Tang; Xinyi Liu; Shenghua Cheng; Xiuli Liu (Pattern Recognit. Lett., 2025)

Cytopathology Image Super-Resolution of Portable Microscope Based on Convolutional Window-Integration Transformer. - Jinyu Zhang; Shenghua Cheng; Xiuli Liu; Ning Li; Gong Rao; Shaoqun Zeng (IEEE Trans. Computational Imaging, 2025)