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Showing results 1 to 13 of 13

Article
A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images
  • Ullah, Ihsan ; 
  • Ali, Farman ; 
  • Shah, Babar ; 
  • El-Sappagh, Shaker ; 
  • Abuhmed, Tamer ; 
  • Park, Sang Hyun
  • 2023-01
  • Ullah, Ihsan. (2023-01). A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images. Scientific Reports, 13(1). doi: 10.1038/s41598-023-27815-w
  • Nature Publishing Group
  • View : 339
  • Download : 23
Conference
Catheter synthesis in X-Ray fluoroscopy with generative adversarial networks
  • 2019-10-13
  • Ullah, Ihsan. (2019-10-13). Catheter synthesis in X-Ray fluoroscopy with generative adversarial networks. International Conference on Medical Image Computing and Computer Assisted Interventions, 125–133. doi: 10.1007/978-3-030-32281-6_13
  • SPRINGER INTERNATIONAL PUBLISHING AG
  • View : 692
  • Download : 0
Article
Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning
  • Jeong, Jaehoon ; 
  • Hong, Seung Taek ; 
  • Ullah, Ihsan ; 
  • Kim, Eun Sun ; 
  • Park, Sang Hyun
  • 2022-02
  • Jeong, Jaehoon. (2022-02). Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning. Diagnostics, 12(2). doi: 10.3390/diagnostics12020288
  • MDPI AG
  • View : 309
  • Download : 0
Conference
Deep Learning-Based Apple Defect Detection with Residual SqueezeNet
  • Alam, M. D. Nur ; 
  • Ullah, Ihsan ; 
  • Al-Absi, Ahmed Abdulhakim
  • 2020-07-08
  • Alam, M. D. Nur. (2020-07-08). Deep Learning-Based Apple Defect Detection with Residual SqueezeNet. International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation, SMARTCYBER 2020, 127–134. doi: 10.1007/978-981-15-7990-5_12
  • International Conference on Smart Computing and Cyber Security (SmartCyber)
  • View : 722
  • Download : 0
Article
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
  • Shoaib, Muhammad ; 
  • Hussain, Tariq ; 
  • Shah, Babar ; 
  • Ullah, Ihsan ; 
  • Shah, Sayyed Mudassar ; 
  • Ali, Farman ; 
  • Park, Sang Hyun
  • 2022-10
  • Shoaib, Muhammad. (2022-10). Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease. Frontiers in Plant Science, 13. doi: 10.3389/fpls.2022.1031748
  • Frontiers Media S.A.
  • View : 247
  • Download : 0
Article
Machine Learning-Enabled Power Scheduling in IoT-Based Smart Cities
  • Awan, Nabeela ; 
  • Khan, Salman ; 
  • Rahmani, Mohammad Khalid Imam ; 
  • Tahir, Muhammad ; 
  • Alam, Nur ; 
  • Alturki, Ryan ; 
  • Ullah, Ihsan
  • 2021-02
  • Awan, Nabeela. (2021-02). Machine Learning-Enabled Power Scheduling in IoT-Based Smart Cities. doi: 10.32604/cmc.2021.014386
  • Tech Science Press
  • View : 637
  • Download : 0

Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames

Article
Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames
  • 2019-10
  • Ullah, Ihsan. (2019-10). Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames. IEEE Access, 7, 159743–159753. doi: 10.1109/ACCESS.2019.2950263
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 687
  • Download : 391

Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture

Article
Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture
  • Lee, Hyo Jong ; 
  • Ullah, Ihsan ; 
  • Wan, Weiguo ; 
  • Gao, Yongbin ; 
  • Fang, Zhijun
  • 2019-03
  • Lee, Hyo Jong. (2019-03). Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture. Sensors, 19(5). doi: 10.3390/s19050982
  • Multidisciplinary Digital Publishing Institute (MDPI)
  • View : 587
  • Download : 127

Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation

Article
Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation
  • Ullah, Ihsan ; 
  • Chikontwe, Philip ; 
  • Choi, Hongsoo ; 
  • Yoon, Chang Hwan ; 
  • Park, Sang Hyun
  • 2021-02
  • Ullah, Ihsan. (2021-02). Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation. Applied Sciences, 11(4), 1638–16. doi: 10.3390/app11041638
  • MDPI AG
  • View : 506
  • Download : 447
Article
Target-specified reference-based deep learning network for joint image deblurring and resolution enhancement in surgical zoom lens camera calibration
  • Ha, Ho-Gun ; 
  • Jeung, Deokgi ; 
  • Ullah, Ihsan ; 
  • Tokuda, Junichi ; 
  • Hong, Jaesung ; 
  • Lee, Hyunki
  • 2024-12
  • Ha, Ho-Gun. (2024-12). Target-specified reference-based deep learning network for joint image deblurring and resolution enhancement in surgical zoom lens camera calibration. Computers in Biology and Medicine, 183. doi: 10.1016/j.compbiomed.2024.109309
  • Elsevier
  • View : 514
  • Download : 0
Conference
Towards Urdu Name Entity Recognition Using Bi-LSTM-CRF with Self-attention
  • Ullah, Fida ; 
  • Zeeshan, Muhammad ; 
  • Ullah, Ihsan ; 
  • Alam, Nur ; 
  • Al-Absi, Ahmed Abdulhakim
  • 2022-10-28
  • Ullah, Fida. (2022-10-28). Towards Urdu Name Entity Recognition Using Bi-LSTM-CRF with Self-attention. 2nd International Conference on Smart Computing and Cyber Security - Strategic Foresight, Security Challenges and Innovation, SMARTCYBER 2021, 403–407. doi: 10.1007/978-981-16-9480-6_38
  • Springer Science and Business Media Deutschland GmbH
  • View : 47
  • Download : 0
Conference
Urdu Named Entity Recognition with Attention Bi-LSTM-CRF Model
  • Ullah, Fida ; 
  • Ullah, Ihsan ; 
  • Kolesnikova, Olga
  • 2022-10-27
  • Ullah, Fida. (2022-10-27). Urdu Named Entity Recognition with Attention Bi-LSTM-CRF Model. 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, 3–17. doi: 10.1007/978-3-031-19496-2_1
  • Springer Science and Business Media Deutschland GmbH
  • View : 45
  • Download : 0
Article
Video domain adaptation for semantic segmentation using perceptual consistency matching
  • 2024-11
  • Ullah, Ihsan. (2024-11). Video domain adaptation for semantic segmentation using perceptual consistency matching. Neural Networks, 179. doi: 10.1016/j.neunet.2024.106505
  • Elsevier
  • View : 323
  • Download : 0
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