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2020 – today
- 2023
[i4]Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Sung Hyun Kim, Tariq Mahmood Khan, Yeong-Gil Shin:
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan. CoRR abs/2304.01576 (2023)- 2022
- [j1]Muhammad Usman
, Azka Rehman, Amal Muhammad Saleem, Rabeea Jawaid, Shi Sub Byon, Sung-Hyun Kim, Byoung-Dai Lee, Min-Suk Heo, Yeong-Gil Shin:
Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans. Sensors 22(24): 9877 (2022) - [i3]Azka Rehman, Muhammad Usman, Rabeea Jawaid, Shi Sub Byon, Sung Hyun Kim, Byoung-Dai Lee, Byung IlLee, Yeong-Gil Shin:
Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans. CoRR abs/2210.03739 (2022) - [i2]Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Byoung-Dai Lee, Sung Hyun Kim, Byung IlLee, Yeong-Gil Shin:
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection. CoRR abs/2211.00003 (2022)
2010 – 2019
- 2019
- [i1]Muhammad Usman, Byoung-Dai Lee, Shi Sub Byon, Sung Hyun Kim, Byung IlLee:
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning. CoRR abs/1912.13335 (2019)
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