In-Jae Oh

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 8

Top Topics

Distribution Function

Top Venues

Publications

Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim
Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients. BMC Bioinform. 24 (1) (2023)
Duy-Phuong Dao, Hyung-Jeong Yang, Ngoc-Huynh Ho, Sudarshan Pant, Soo-Hyung Kim, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang
Survival Analysis based on Lung Tumor Segmentation using Global Context-aware Transformer in Multimodality. ICPR (2022)
Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients. BMC Bioinform. (9) (2022)
Eu-Tteum Baek, Hyung Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang, Jung-Joon Min
Survival time prediction by integrating cox proportional hazards network and distribution function network. BMC Bioinform. 22 (1) (2021)
Seungwon Oh, Jaena Im, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim
PET-Based Deep-Learning Model for Predicting Prognosis of Patients With Non-Small Cell Lung Cancer. IEEE Access 9 (2021)
Minh-Trieu Tran, Soo-Hyung Kim, Hyung-Jeong Yang, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang
Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm. Sensors 21 (13) (2021)
Thanh Cong Do, Hyung Jeong Yang, Seok Bong Yoo, In-Jae Oh
Combining Reinforcement Learning with Supervised Learning for Sepsis Treatment. SMA (2020)
Thanh-Hung Vo, Gueesang Lee, Hyung-Jeong Yang, Sae-Ryung Kang, In-Jae Oh, Soo-Hyung Kim
Multi-Task with Variational Autoencoder for Lung Cancer Prognosis on Clinical Data. SMA (2020)