Induk Um

According to our database, Induk Um authored at least 3 papers in 2026.

Collaborative distances:

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

2026

NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification.

Youngung Han, Minkyung Cha, Kyeonghun Kim, Induk Um, Myeongbin Sho, Jooyoung Bae, Jaewon Jung, Jung Hyeok Park, Seojun Lee, Nam-Joon Kim, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ken Ying-Kai Liao, Hyuk-Jae Lee

CoRR, March, 2026

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI.

Youngung Han, Induk Um, Kyeonghun Kim, Junga Kim, Hyunsu Go, Jaewon Jung, Nam-Joon Kim, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ken Ying-Kai Liao, Hyuk-Jae Lee

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Losa-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI.

Youngung Han, Hyunsu Go, Kyeonghun Kim, Induk Um, Junga Kim, Jaewon Jung, Nam-Joon Kim, Woo Kyoung Jeong, Won Jae Lee, Ken Ying-Kai Liao, Pa Hong, Hyuk-Jae Lee

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026