Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks. - Hongming Xu 002; Tae-Hyun Hwang (CoRR, 2018)

Statistical Local Binary Patterns (SLBP): Application To Prostate Cancer Gleason Score Prediction From whole Slide Pathology Images. - Hongming Xu 002; Tae-Hyun Hwang (ISBI, 2019)

Novel lymph node segmentation and proliferation index measurement for skin melanoma biopsy images. - Salah Alheejawi; Hongming Xu 002; Richard Berendt; Naresh Jha; Mrinal Mandal 001 (Comput. Medical Imaging Graph., 2019)

Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images. - Hongming Xu 002; Sunho Park; Tae-Hyun Hwang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification. - Dongdong Zhou; Qi Xu; Jian Wang 112; Hongming Xu 002; Lauri Kettunen; Zheng Chang 001; Fengyu Cong (IEEE Trans. Instrum. Meas., 2022)

Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRI. - Xinyu Hao; Hongming Xu 002; Nannan Zhao; Tao Yu; Timo Hämäläinen 002; Fengyu Cong (EMBC, 2023)

Multiple Instance Learning for Lymph Node Metastasis Prediction from Cervical Cancer MRI. - Shan Jin; Hongming Xu 002; Yue Dong; Xinyu Hao; Fengying Qin; Ranran Wang; Fengyu Cong (ISBI, 2023)

Dual-Stream Context-Aware Neural Network for Survival Prediction from Whole Slide Images. - Junxiu Gao; Shan Jin; Ranran Wang; Mingkang Wang; Tong Wang; Hongming Xu 002 (PRCV (10), 2023)

Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. - Shan Jin; Hongming Xu 002; Yue Dong; Xinyu Hao; Fengying Qin; Qi Xu; Yong Zhu; Fengyu Cong (Int. J. Imaging Syst. Technol., 2023)

Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy. - Md. Ziaul Hoque; Anja Keskinarkaus; Pia Nyberg; Hongming Xu 002; Tapio Seppänen (Comput. Medical Imaging Graph., 2023)

Towards efficient deep spiking neural networks construction with spiking activity based pruning. - Yaxin Li; Qi Xu; Jiangrong Shen; Hongming Xu 002; Long Chen 019; Gang Pan 001 (ICML, 2024)

Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer. - Mingkang Wang; Tong Wang; Fengyu Cong; Cheng Lu 001; Hongming Xu 002 (MICCAI (1), 2024)

Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI. - Xinyu Hao; Hongming Xu 002; Nannan Zhao; Tao Yu; Timo Hämäläinen 002; Fengyu Cong (Biomed. Signal Process. Control., 2024)

Simultaneously segmenting and classifying cell nuclei by using multi-task learning in multiplex immunohistochemical tissue microarray sections. - Ranran Wang; Yusong Qiu; Xinyu Hao; Shan Jin; Junxiu Gao; Heng Qi; Qi Xu; Yong Zhang; Hongming Xu 002 (Biomed. Signal Process. Control., 2024)

Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation. - Dongdong Zhou; Qi Xu; Jiacheng Zhang; Lei Wu; Hongming Xu 002; Lauri Kettunen; Zheng Chang 001; Qiang Zhang 008; Fengyu Cong (IEEE Trans. Instrum. Meas., 2024)

Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification. - Qiao Chen; Hongming Xu 002; Xinyu Hao; Qibin Zhang; Huamin Qin; Tommi Kärkkäinen; Fengyu Cong (CBMS, 2025)

ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining. - Tong Wang; Mingkang Wang; Zhongze Wang; Hongkai Wang; Qi Xu; Fengyu Cong; Hongming Xu 002 (CVPR, 2025)

When multiple instance learning meets foundation models: Advancing histological whole slide image analysis. - Hongming Xu 002; Mingkang Wang; Duanbo Shi; Huamin Qin; Yunpeng Zhang; Zaiyi Liu; Anant Madabhushi; Peng Gao; Fengyu Cong; Cheng Lu 001 (Medical Image Anal., 2025)

Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer. - Tong Wang; Su-Jin Shin; Mingkang Wang; Qi Xu; Guiyang Jiang; Fengyu Cong; Jeonghyun Kang; Hongming Xu 002 (IEEE J. Biomed. Health Informatics, 2025)