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Azka Rehman
Azka Rehman
Seoul, South Korea
Verified email at snu.ac.kr
Title
Cited by
Cited by
Year
Dual-stage deeply supervised attention-based convolutional neural networks for mandibular canal segmentation in CBCT scans
M Usman, A Rehman, AM Saleem, R Jawaid, SS Byon, SH Kim, BD Lee, ...
Sensors 22 (24), 9877, 2022
102022
Selective deeply supervised multi-scale attention network for brain tumor segmentation
A Rehman, M Usman, A Shahid, S Latif, J Qadir
Sensors 23 (4), 2346, 2023
52023
MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection
M Usman, A Rehman, A Shahid, S Latif, YG Shin
Engineering Applications of Artificial Intelligence 129, 107597, 2024
4*2024
MESAHA-Net: Multi-encoders based self-adaptive hard attention network with maximum intensity projections for lung nodule segmentation in CT scan
M Usman, A Rehman, A Shahid, S Latif, SS Byon, SH Kim, TM Khan, ...
arXiv preprint arXiv:2304.01576, 2023
22023
Intelligent healthcare system for IoMT-integrated sonography: Leveraging multi-scale self-guided attention networks and dynamic self-distillation
M Usman, A Rehman, S Masood, TM Khan, J Qadir
Internet of Things 25, 101065, 2024
12024
MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum fusion for nodule detection
M Usman, A Rehman, A Shahid, S Latif, YG Shin
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 129, 2024
2024
Design and simulation of solar parabolic trough with trnsys
A Rehman, IA Chaudhry, T Khan
Technical Journal (Taxila) 19 (4), 63-72, 2014
2014
Design of a Solar Updraft Tower Power Plant for Pakistan and its Simulation in TRNSYS
T Khan, IA Chaudhry, A Rehman
Technical Journal (Taxila) 19 (4), 54-62, 2014
2014
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