Hongming Xu

Orcid: 0000-0002-1305-0010

Affiliations:
  • Dalian University of Technology, Key Laboratory of Integrated Circuit and Biomedical Electronic System, Liaoning, China
  • Cancer Hospital of Dalian University of Technology, School of Biomedical Engineering, Faulty of Medicine, China
  • University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (PhD 2017)


According to our database1, Hongming Xu authored at least 32 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Online Teaching: Distilling Decomposed Multimodal Knowledge for Breast Cancer Biomarker Prediction.
IEEE Trans. Medical Imaging, April, 2026

MMNavAgent: Multi-Magnification WSI Navigation Agent for Clinically Consistent Whole-Slide Analysis.
CoRR, March, 2026

Exploring universal segmentation models for automatic quantification of cardiac functional parameters from zebrafish heartbeat videos.
Medical Biol. Eng. Comput., January, 2026

Dual selective gleason pattern-aware multiple instance learning with uncertainty regularization for grade group prediction in histopathology images.
Medical Image Anal., 2026

TB-YOLO: Automated tumor budding detection in immunohistochemistry slides of colorectal cancer.
Biomed. Signal Process. Control., 2026

Toward Modality-Robust Brain Tumor Segmentation: Distilling Foundation Models for Incomplete Mri Scans.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Spatial-Frequency Spiking Neural Network for Underwater Object Detection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer.
IEEE J. Biomed. Health Informatics, January, 2025

When multiple instance learning meets foundation models: Advancing histological whole slide image analysis.
Medical Image Anal., 2025

Cyclic translations between pathomics and genomics improve automatic cancer diagnosis from whole slide images.
Eng. Appl. Artif. Intell., 2025

Advanced SpikingYOLOX: Extending Spiking Neural Network on Object Detection with Spike-based Partial Self-Attention and 2D-Spiking Transformer.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Multi-modal Knowledge Decomposition Based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Predicting Radiation Therapy Response Based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

MSFF-ST: A Multi-Scale Feature Fusion Model for Spatial Transcriptomics Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation.
IEEE Trans. Instrum. Meas., 2024

Simultaneously segmenting and classifying cell nuclei by using multi-task learning in multiplex immunohistochemical tissue microarray sections.
Biomed. Signal Process. Control., 2024

Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI.
Biomed. Signal Process. Control., 2024

Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Towards efficient deep spiking neural networks construction with spiking activity based pruning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy.
Comput. Medical Imaging Graph., September, 2023

Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture.
Int. J. Imaging Syst. Technol., January, 2023

Dual-Stream Context-Aware Neural Network for Survival Prediction from Whole Slide Images.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Multiple Instance Learning for Lymph Node Metastasis Prediction from Cervical Cancer MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification.
IEEE Trans. Instrum. Meas., 2022

2020
Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019
Novel lymph node segmentation and proliferation index measurement for skin melanoma biopsy images.
Comput. Medical Imaging Graph., 2019

Statistical Local Binary Patterns (SLBP): Application To Prostate Cancer Gleason Score Prediction From whole Slide Pathology Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks.
CoRR, 2018


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