Chu Han
Orcid: 0000-0001-7557-9131
According to our database1,
Chu Han
authored at least 57 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training.
IEEE J. Biomed. Health Informatics, July, 2024
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.
Comput. Biol. Medicine, February, 2024
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer.
CoRR, 2024
FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy.
Comput. Methods Programs Biomed., 2024
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images.
Biomed. Signal Process. Control., 2024
2023
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
Patterns, September, 2023
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations.
Medical Image Anal., August, 2023
Expert Syst. Appl., August, 2023
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study.
Comput. Methods Programs Biomed., August, 2023
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images.
IEEE Trans. Medical Imaging, June, 2023
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation.
IEEE Trans. Medical Imaging, 2023
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications.
CoRR, 2023
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.
CoRR, 2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.
IEEE Trans. Medical Imaging, 2022
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.
Medical Image Anal., 2022
Medical Image Anal., 2022
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.
Medical Image Anal., 2022
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images.
CoRR, 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022
CoRR, 2022
Comput. Electr. Eng., 2022
Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning.
Inf. Sci., 2021
Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold.
Inf. Sci., 2021
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis.
Neurocomputing, 2021
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning.
CoRR, 2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels.
CoRR, 2021
Comput. Electr. Eng., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation.
Medical Image Anal., 2020
In silico design novel (5-imidazol-2-yl-4-phenylpyrimidin-2-yl)[2-(2-pyridylamino)ethyl]amine derivatives as inhibitors for glycogen synthase kinase 3 based on 3D-QSAR, molecular docking and molecular dynamics simulation.
Comput. Biol. Chem., 2020
IEEE Access, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting.
Neural Process. Lett., 2019
Comput. Graph. Forum, 2019
2018
Comput. Vis. Media, 2018
2017
Neurocomputing, 2017
2016
ACM Trans. Graph., 2016
2011
IEEE Trans. Ind. Electron., 2011