Xingru Huang

Orcid: 0000-0003-3971-8434

According to our database1, Xingru Huang authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology.
Sensors, February, 2024

Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM.
IEEE J. Biomed. Health Informatics, January, 2024

2023
GOMPS: Global Attention-based Ophthalmic Image Measurement and Postoperative Appearance Prediction System.
Expert Syst. Appl., December, 2023

FILNet: Fast Image-Based Indoor Localization Using an Anchor Control Network.
Sensors, October, 2023

Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images.
Medical Image Anal., October, 2023

POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation.
Medical Image Anal., October, 2023

Disagreement attention: Let us agree to disagree on computed tomography segmentation.
Biomed. Signal Process. Control., July, 2023

DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition.
CoRR, 2023

D-AE: A Discriminant Encode-Decode Nets for Data Generation.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

2022
Granular Content Distribution for IoT Remote Sensing Data Supporting Privacy Preservation.
Remote. Sens., 2022

2021
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images.
Medical Image Anal., 2021

Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images.
CoRR, 2021

2020
Signet Ring Cells Detection in Histology Images with Similarity Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020


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