Xinrui Zhou

Orcid: 0000-0002-4079-6475

According to our database1, Xinrui Zhou authored at least 22 papers between 2017 and 2024.

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Bibliography

2024
Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images.
Remote. Sens., March, 2024

Segment anything model for medical images?
Medical Image Anal., February, 2024

2023
DYPA: A Machine Learning Dyslexia Prescreening Mobile Application for Chinese Children.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis.
CoRR, 2023

Segment Anything Model for Medical Images?
CoRR, 2023

People Counting System Using MmWave MIMO Radar with 3D Convolutional Neural Network.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fourier Test-Time Adaptation with Multi-level Consistency for Robust Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Online Reflective Learning for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fine-Grained Correlation Loss for Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Fight for 4230 at CheckThat! 2021: Domain-Specific Preprocessing and Pretrained Model for Ranking Claims by Check-Worthiness.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.
J. Bioinform. Comput. Biol., 2020

2019
Computational modelling and data analysis on the virulence of influenza viruses
PhD thesis, 2019

An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification.
IEEE Access, 2019

2018
EDoP Distance Between Sets of Incomplete Permutations: Application to Bacteria Classification Based on Gene Order.
J. Comput. Biol., 2018

Computational identification of physicochemical signatures for host tropism of influenza A virus.
J. Bioinform. Comput. Biol., 2018

Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.
BMC Genom., 2018

2017
PeMapNet: Action Recognition from Depth Videos Using Pyramid Energy Maps on Neural Networks.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains.
Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science, 2017

Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017


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