In-Jae Oh

Orcid: 0000-0003-4837-1321

According to our database1, In-Jae Oh authored at least 8 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.
BMC Bioinform., December, 2023

2022
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.
BMC Bioinform., August, 2022

Survival Analysis based on Lung Tumor Segmentation using Global Context-aware Transformer in Multimodality.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.
Sensors, 2021

Survival time prediction by integrating cox proportional hazards network and distribution function network.
BMC Bioinform., 2021

PET-Based Deep-Learning Model for Predicting Prognosis of Patients With Non-Small Cell Lung Cancer.
IEEE Access, 2021

2020
Multi-Task with Variational Autoencoder for Lung Cancer Prognosis on Clinical Data.
Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020

Combining Reinforcement Learning with Supervised Learning for Sepsis Treatment.
Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020


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