Shi Sub Byon

According to our database, Shi Sub Byon authored at least 5 papers between 2019 and 2023.

Collaborative distances:

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

2023

MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan.

Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Sung Hyun Kim, Tariq Mahmood Khan, Yeong-Gil Shin

CoRR, 2023

2022

Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.

Muhammad Usman, Azka Rehman, Amal Muhammad Saleem, Rabeea Jawaid, Shi Sub Byon, Sung-Hyun Kim, Byoung-Dai Lee, Min-Suk Heo, Yeong-Gil Shin

Sensors, 2022

MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection.

Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Byoung-Dai Lee, Sung Hyun Kim, Byung IlLee, Yeong-Gil Shin

CoRR, 2022

Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.

Azka Rehman, Muhammad Usman, Rabeea Jawaid, Shi Sub Byon, Sung Hyun Kim, Byoung-Dai Lee, Byung IlLee, Yeong-Gil Shin

CoRR, 2022

2019

Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning.

Muhammad Usman, Byoung-Dai Lee, Shi Sub Byon, Sung Hyun Kim, Byung IlLee

CoRR, 2019