Changhong Liang

According to our database1, Changhong Liang authored at least 26 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.
Comput. Biol. Medicine, February, 2024

FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy.
Comput. Methods Programs Biomed., 2024

2023
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations.
Medical Image Anal., 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

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation.
CoRR, 2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.
CoRR, 2023

A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.
IEEE Trans. Medical Imaging, 2022

Meta multi-task nuclei segmentation with fewer training samples.
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

RestainNet: a self-supervised digital re-stainer for stain normalization.
CoRR, 2022

RestainNet: A self-supervised digital re-stainer for stain normalization.
Comput. Electr. Eng., 2022

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

2020
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation.
Medical Image Anal., 2020

CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Dense Encoder-Decoder Network based on Two-Level Context Enhanced Residual Attention Mechanism for Segmentation of Breast Tumors in Magnetic Resonance Imaging.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2014
Parallel Computation of Complex Antennas around the Coated Object Using Iterative Vector Fields Technique.
IEICE Trans. Electron., 2014

2007
Application of the Spatial-Spectral CG-FFT Method for the Solution of Electromagnetic Scattering by Buried Flat Metallic Objects.
IEEE Geosci. Remote. Sens. Lett., 2007

The finite-volume time-domain algorithm using least square method in solving Maxwell's equations.
J. Comput. Phys., 2007

2006
Analysis of Large-Scale Periodic Array Antennas by CG-FFT Combined with Equivalent Sub-Array Preconditioner.
IEICE Trans. Commun., 2006

2005
Generalized system function analysis of resonant behavior of electromagnetic open systems.
Sci. China Ser. F Inf. Sci., 2005


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