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Muhammad Usman
Muhammad Usman
在 stanford.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Leveraging Data Science To Combat COVID-19: A Comprehensive Review
JC Siddique Latif, Muhammad Usman, Sanaullah Manzoor, Waleed Iqbal, Junaid ...
IEEE Transactions on Artificial Intelligence, 2020
2862020
Phonocardiographic sensing using deep learning for abnormal heartbeat detection
S Latif, M Usman, R Rana, J Qadir
IEEE Sensors Journal 18 (22), 9393-9400, 2018
1772018
Cross lingual speech emotion recognition: Urdu vs. western languages
S Latif, A Qayyum, M Usman, J Qadir
2018 International conference on frontiers of information technology (FIT …, 2018
1142018
Volumetric lung nodule segmentation using adaptive roi with multi-view residual learning
M Usman, BD Lee, SS Byon, SH Kim, B Lee, YG Shin
Scientific Reports 10 (1), 12839, 2020
892020
Retrospective motion correction in multishot MRI using generative adversarial network
M Usman, S Latif, M Asim, BD Lee, J Qadir
Scientific reports 10 (1), 4786, 2020
82*2020
Cascade multiscale residual attention cnns with adaptive roi for automatic brain tumor segmentation
Z Ullah, M Usman, M Jeon, J Gwak
Information sciences 608, 1541-1556, 2022
582022
Using deep autoencoders for facial expression recognition
M Usman, S Latif, J Qadir
2017 13th International Conference on Emerging Technologies (ICET), 1-6, 2017
422017
Mobile technologies for managing non-communicable diseases in developing countries
S Latif, MY Khan, A Qayyum, J Qadir, M Usman, SM Ali, QH Abbasi, ...
Mobile applications and solutions for social inclusion, 261-287, 2018
292018
Automating motion correction in multishot MRI using generative adversarial networks
S Latif, M Asim, M Usman, J Qadir, R Rana
arXiv preprint arXiv:1811.09750, 2018
282018
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images
Z Ullah, M Usman, J Gwak
Expert Systems with Applications 216, 119475, 2023
272023
Densely attention mechanism based network for COVID-19 detection in chest X-rays
Z Ullah, M Usman, S Latif, J Gwak
Scientific Reports 13 (1), 261, 2023
262023
Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning
MS Lee, YS Kim, M Kim, M Usman, SS Byon, SH Kim, BI Lee, BD Lee
Scientific reports 11 (1), 16885, 2021
262021
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
162022
DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation
M Usman, YG Shin
Sensors 23 (4), 1989, 2023
122023
SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation
Z Ullah, M Usman, S Latif, A Khan, J Gwak
Scientific Reports 13 (1), 9087, 2023
112023
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
72023
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
5*2024
Ldmres-Net: a lightweight neural network for efficient medical image segmentation on iot and edge devices
S Iqbal, TM Khan, SS Naqvi, A Naveed, M Usman, HA Khan, I Razzak
IEEE Journal of Biomedical and Health Informatics, 2023
42023
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, 2024
12024
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