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Dual-Stage Deeply Supervised Attention-based Convolutional Neural
  Networks for Mandibular Canal Segmentation in CBCT Scans
v1v2v3v4 (latest)

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

Italian National Conference on Sensors (INS), 2022
6 October 2022
Azka Rehman
Muhammad Usman
Rabeea Jawaid
Amal Muhammad Saleem
Shi-Sub Byon
Sung Hyun Kim
B. Lee
Byung IlLee
Y. Shin
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Multi-Task Adversarial Variational Autoencoder for Estimating Biological
  Brain Age with Multimodal Neuroimaging
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging
Muhammad Usman
Azka Rehman
Abdullah Shahid
A. Rehman
Sung-Min Gho
Aleum Lee
Tariq Mahmood Khan
Imran Razzak
242
3
0
15 Nov 2024
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction
  Maximum Intensity projections for Lung Nodule Detection
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection
Muhammad Usman
Azka Rehman
Abdullah Shahid
S. Latif
Shi-Sub Byon
Byoung-Dai Lee
Sung Hyun Kim
Byung IlLee
Yeong-Gil Shin
299
3
0
30 Oct 2022
1
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