Jiaxing Tan

Orcid: 0000-0001-9908-3691

According to our database1, Jiaxing Tan authored at least 22 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.
IEEE Trans. Medical Imaging, November, 2023

2022
An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography.
Sensors, 2022

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity.
CoRR, 2022

2021
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states.
NeuroImage, 2021

Higher-order sensorimotor circuit of the brain's global network supports human consciousness.
NeuroImage, 2021

LGAN: Lung segmentation in CT scans using generative adversarial network.
Comput. Medical Imaging Graph., 2021

A comparison study of deep learning designs for improving low-dose CT denoising.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Cross-Modal Center Loss for 3D Cross-Modal Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography.
IEEE Trans. Medical Imaging, 2020

Cross-modal Center Loss.
CoRR, 2020

A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Deep Learning Based Medical Image Analysis with Limited Data.
PhD thesis, 2019

Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain.
Vis. Comput. Ind. Biomed. Art, 2019

LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network.
CoRR, 2019

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.
Comput. Medical Imaging Graph., 2019

Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
A Fast Automatic Juxta-pleural Lung Nodule Detection Framework Using Convolutional Neural Networks and Vote Algorithm.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

2017
Apply Convolutional Neural Network to Lung Nodule Detection: Recent Progress and Challenges.
Proceedings of the Smart Health - International Conference, 2017

Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2013
A quantitative metric of visual-words separability for a more discriminative visual vocabulary in an unsupervised manner.
Proceedings of the 9th International Conference on Information, 2013


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