Xiao Ma

Orcid: 0000-0002-1842-5029

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China


According to our database1, Xiao Ma authored at least 12 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Cross-Device OCTA Generation by Patch-Based 3D Multi-Scale Feature Adaption.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

2023
Mask Distillation Network for Conjunctival Hyperemia Severity Classification.
Mach. Intell. Res., December, 2023

Choroidal vessel segmentation in SD-OCT with 3D Shape-aware Adversarial Networks.
Biomed. Signal Process. Control., July, 2023

LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images.
IEEE J. Biomed. Health Informatics, May, 2023

CBAV-Loss: Crossover and Branch Losses for Artery-Vein Segmentation in OCTA Images.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
LamNet: A Lesion Attention Maps-Guided Network for the Prediction of Choroidal Neovascularization Volume in SD-OCT Images.
IEEE J. Biomed. Health Informatics, 2022

Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation.
CoRR, 2022

Unsupervised Medical Image Registration Based on Multi-scale Cascade Network.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal Fundus Photography.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2020
MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images.
IEEE J. Biomed. Health Informatics, 2020


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