CV

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Education

Ph.D in Leiden University, Leiden, the Netherlands
- Deep learning in medical image analysis
- Supervisor: Berend Stoel and Marius Staring
- 2019-2023 (expected)
M.S. in Xidian University, Xian, China
- Electromagnetic field and microwave technology
- Supervisor: Yong-Chang Jiao
- 2016-2019
B.S. in Taiyuan University of Technology, Taiyuan, China
- Applied physics
- 2011-2015

Work experience

Summer 2018: Research Assistant
- Dongguan University of Technology
- Duties included: Poisoning Attack in Deep Neural Network

Skills

Expertise
- Segmentation (UNet, nnUNet), classification (VGG, ResNet, ConvNeXt), regression
- Point cloud (PointNet, PointNet++, PointNeXt)
- Deep supervision
- multi-task learning
- semi-supervised learning
- Multi-processing/-threading
- Multi-GPU training
Programming language
- Python
- MATLAB
- Bash
Deep learning platform
- PyTorch
- Keras
- TensorFlow
Other tools: Linux, Vim, Latex, Git, Jekyll, Sphinx, reStructuredText, MarkDown, Docker, MLFlow, MONAI, SimpleITK, Lighting, Ignite, TorchIO, PyCharm, VS Code, SSH, WSL, etc.

Achievements

Finalist of best student paper award for SPIE: Medical Imaging 2022. Cerificate of award
Top 3 of at the UCL Medical Image Compting Summer School (MedICSS 2021). Certificate of participation. Certificate of award.
SPIE: Medical Imaging 2022 Student Conference Support (up to $1000 for airfare and/or lodging as well as a registration fee waiver).

Other activieies

Reviewer for Medical Image Analysis (MedIA), The IEEE International Symposium on Biomedical Imaging (ISBI) 2022, 2023.
Student member of SPIE, ISBI and IEEE.
Own and still maintain an open sourse package: seg-metrics for medical image segmentation metrics calculation. Downloads per month is over 500.
Contribute to open source packages like MONAI and MLflow. I proposed Issues and created Pull requests merged to the main branches of them.

Publications

Stability of Nonfullerene Organic Solar Cells: from Built‐in Potential and Interfacial Passivation Perspectives

less than 1 minute read

Wang, Y., Lan, W., Li, N., Lan, Z., Li, Z., Jia, J., & Zhu, F. (2019). Stability of Nonfullerene Organic Solar Cells: from Built‐in Potential and Interfacial Passivation Perspectives. Advanced Energy Materials, 9(19), 1900157.

Wideband circularly polarized dielectric resonator antenna loaded with partially reflective surface

1 minute read

Wen, J., Jiao, Y. C., Zhang, Y. X., & Jia, J. (2019). Wideband circularly polarized dielectric resonator antenna loaded with partially reflective surface. International Journal of RF and Microwave Computer‐Aided Engineering, 29(12), e21962.

Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation

less than 1 minute read

Jia, J., Zhai, Z., Bakker, M. E., Hernández-Girón, I., Staring, M., & Stoel, B. C. (2021, April). Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation. In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 1329-1332). IEEE.

Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks

less than 1 minute read

Jingnan Jia, Marius Staring, Irene Hernández-Girón, Lucia J. M. Kroft, Anne A. Schouffoer, Berend C. Stoel. Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks. arXiv preprint arXiv:2110.08085.

Jingnan Jia

CV

Education

Work experience

Skills

Achievements

Other activieies

Publications

Stability of Nonfullerene Organic Solar Cells: from Built‐in Potential and Interfacial Passivation Perspectives

Wideband circularly polarized dielectric resonator antenna loaded with partially reflective surface

Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation

Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks

Talks

Multi-task Semi-supervised Deep Learning for lung lobe segmentation in CT

Introduction on Mandarin

Multi-task semi-supervised learning for pulmonary lobe segmentation

Prediction of Lung CT Scores of Systemic Sclerosis by an End-to-end Fully Automatic Framework using Deep Learning

Introduction on MONAI and its bootcamp-2021, and own developed package seg-metrics

Prediction of lung ct scores of systemic sclerosis by cascaded regression neural networks

Teaching