Xiaoxi Pan

Orcid: 0000-0002-6146-5771

According to our database1, Xiaoxi Pan authored at least 13 papers between 2015 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Optimizing Cell Recognition in Sarcoma Multiplex Immunohistochemistry Images via Pre-Training Strategies.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Predicting DNA Content Abnormalities in Barrett's Esophagus: A Weakly Supervised Learning Paradigm.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Immune-Guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022
Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

2021
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by <sup>18</sup>F-FDG Brain PET Imaging.
IEEE Trans. Medical Imaging, 2021

2019
Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, 2019

Multiscale spatial gradient features for <sup>18</sup>F-FDG PET image-guided diagnosis of Alzheimer's disease.
Comput. Methods Programs Biomed., 2019

First and Second Order Gradients for Alzheimer's Disease Diagnosis.
Proceedings of the 5th International Conference on Frontiers of Signal Processing, 2019

2018
Adaptive Haze Removal for Single Remote Sensing Image.
IEEE Access, 2018

Alzheimer'S Disease Diagnosis with FDG-PET Brain Images By Using Multi-Level Features.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2016
No-Reference Assessment on Haze for Remote-Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2016

2015
Haze Removal for a Single Remote Sensing Image Based on Deformed Haze Imaging Model.
IEEE Signal Process. Lett., 2015


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