Cong Cong

Orcid: 0000-0002-8192-6731

Affiliations:
  • Macquarie University, Australian Institute of Health Innovation (AIHI), Sydney, Australia
  • University of New South Wales, School of Computer Science and Engineering, Sydney, Australia (PhD 2024)


According to our database1, Cong Cong authored at least 20 papers between 2020 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering.
CoRR, November, 2025

ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images.
CoRR, August, 2025

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation.
Knowl. Based Syst., 2025

FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Multi-Sequence MRI to Multi-Tracer Pet Generation via Diffusion Model.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Adaptive Clustering for EGFR Amplification Prediction in Glioblastoma: A Variational Autoencoder-Dirichlet Bayesian Gaussian Approach.
Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification.
Expert Syst. Appl., 2024

Dataset Distillation for Histopathology Image Classification.
CoRR, 2024

Correction-based Defense Against Adversarial Video Attacks via Discretization-Enhanced Video Compressive Sensing.
Proceedings of the 33rd USENIX Security Symposium, 2024

Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decoupled Optimisation for Long-Tailed Visual Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-scale multi-reception attention network for bone age assessment in X-ray images.
Neural Networks, January, 2023

2022
Colour adaptive generative networks for stain normalisation of histopathology images.
Medical Image Anal., 2022

Adaptive Unified Contrastive Learning for Imbalanced Classification.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection.
Proceedings of the 16th International Conference on Control, 2020


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