Jiaxing Tan

According to our database, Jiaxing Tan authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Toughness Measurement of Microscale Coating/Silicon MEMS System Using Pillar Splitting Method.

Yuanlin Xia, Yuan Liu, Yinfeng Xia, Wenfeng Liu, Cao Xia, Jiaxing Tan, Zhuqing Wang

IEEE Trans. Instrum. Meas., 2024

2023

Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.

Yongfeng Gao, Jiaxing Tan, Yongyi Shi, Hao Zhang, Siming Lu, Amit Gupta, Haifang Li, Michael Reiter, Zhengrong Liang

IEEE Trans. Medical Imaging, November, 2023

2022

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

Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt

Sensors, 2022

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

Weiguo Cao, Marc Jason Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt

CoRR, 2022

2021

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

Federico Zilio, Javier Gomez-Pilar, Shumei Cao, Jun Zhang, Di Zang, Zengxin Qi, Jiaxing Tan, Tanigawa Hiromi, Xuehai Wu, Stuart M. Fogel, Zirui Huang, Matthias R. Hohmann, Tatiana Fomina, Matthis Synofzik, Moritz Grosse-Wentrup, Adrian M. Owen, Georg Northoff

NeuroImage, 2021

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

Pengmin Qin, Xuehai Wu, Changwei Wu, Hang Wu, Jun Zhang, Zirui Huang, Xuchu Weng, Di Zang, Zengxin Qi, Weijun Tang, Tanikawa Hiromi, Jiaxing Tan, Sean Tanabe, Stuart M. Fogel, Anthony G. Hudetz, Yihong Yang, Emmanuel A. Stamatakis, Ying Mao, Georg Northoff

NeuroImage, 2021

LGAN: Lung segmentation in CT scans using generative adversarial network.

Jiaxing Tan, Longlong Jing, Yumei Huo, Lihong Li, Oguz Akin, Yingli Tian

Comput. Medical Imaging Graph., 2021

A comparison study of deep learning designs for improving low-dose CT denoising.

Vincent Wang, Alice Wei, Jiaxing Tan, Siming Lu, Weiguo Cao, Yongfeng Gao

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Cross-Modal Center Loss for 3D Cross-Modal Retrieval.

Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian

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.

Jiaxing Tan, Yongfeng Gao, Zhengrong Liang, Weiguo Cao, Marc Jason Pomeroy, Yumei Huo, Lihong Li, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt

IEEE Trans. Medical Imaging, 2020

Cross-modal Center Loss.

Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian

CoRR, 2020

A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps.

Jiaxing Tan, Shu Zhang, Weiguo Cao, Yongfeng Gao, Lihong Li, Yumei Huo, Zhengrong Liang

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.

Shu Zhang, Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Jiaxing Tan, Zhengrong Liang

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Deep Learning Based Medical Image Analysis with Limited Data.

Jiaxing Tan

PhD thesis, 2019

Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain.

Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li, Yumei Huo

Vis. Comput. Ind. Biomed. Art, 2019

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

Jiaxing Tan, Longlong Jing, Yumei Huo, Yingli Tian, Oguz Akin

CoRR, 2019

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng Gao, Marc Jason Pomeroy, Kenneth Ng, Wei Hou

Comput. Medical Imaging Graph., 2019

Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging.

Jiaxing Tan, Yongfeng Gao, Yumei Huo, Lihong Li, Zhengrong Liang

Proceedings of the Medical Imaging 2019: Image Processing, 2019

GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis.

Jiaxing Tan, Yongfeng Gao, Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Yumei Huo, Lihong Li, Zhengrong Liang

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.

Jiaxing Tan, Yumei Huo, Zhengrong Liang, Lihong Li

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

2017

Apply Convolutional Neural Network to Lung Nodule Detection: Recent Progress and Challenges.

Jiaxing Tan, Yumei Huo, Zhengrong Liang, Lihong Li

Proceedings of the Smart Health - International Conference, 2017

Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization.

Jiaxing Tan, Alexander Kotov, Rojiar Pir Mohammadiani, Yumei Huo

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.

Xin Feng, Bo Li, Yongxin Ge, Jiaxing Tan

Proceedings of the 9th International Conference on Information, 2013