Profile

Ihsan Ullah

Researcher in Applied AI & Computer Vision

Publications

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Journals

  1. Ullah, Ihsan, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sang Hyun Park Video domain adaptation for semantic segmentation using perceptual consistency matching
    Neural Networks, 2024, Pages: 106505
    DOI: 10.1016/j.neunet.2024.106505
    Link

  2. Ha, Ho-Gun, Jeung, Deokgi, Ullah, Ihsan, Tokuda, Junichi, Hong, Jaesung, Lee, Hyunki
    Target-specified Reference-based Deep Learning Network for Joint Image Deblurring and Resolution Enhancement in Surgical Zoom lens Camera Calibration
    Computer Methods and Programs in Biomedicine, 2024
    Publisher: Elsevier

  3. Ullah, Ihsan, Shah Baber, Ali, Farman, EI-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun A Deep Learning based Dual Encoder-Decoder Framework for Anatomical Structure Segmentation in Chest Fluoroscopic Images
    Scientific Reports, Volume 13, Number 1, Pages: 791, 2023
    DOI: 10.1038/s41598-023-27815-w
    Link

  4. Shoaib, Muhammad, Hussain, Tariq, Shah, Babar, Ullah, Ihsan, Shah, Sayyed Mudassar, Ali, Farman, Park, Sang Hyun Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
    Frontiers in Plant Science, 2022, Volume 13, Pages: 1031748
    DOI: 10.3389/fpls.2022.1031748

  5. Jeong, Jaehoon, Hong, Seung Taek, Ullah, Ihsan, Kim, Eun Sun, Park, Sang Hyun Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning
    Diagnostics, Volume 12, Number 2, Pages: 288, 2022
    DOI: 10.3390/diagnostics12020288

  6. Ullah, Ihsan, Chikontwe, Philip, Choi, Hongsoo, Yoon, Chang-Hwan, Park, Sang Hyun**
    Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation
    Applied Sciences, Volume 11, Number 4, Pages: 1638, 2021
    DOI: 10.3390/app11041638

  7. Ullah, Ihsan, Chikontwe, Philip, Park, Sang Hyun Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames
    IEEE Access, Volume 7, Pages: 159743-159753, 2019
    DOI: 10.1109/ACCESS.2019.2950263

  8. Lee, Hyo Jong, Ullah, Ihsan, Wan, Weiguo, Gao, Yongbin, Fang, Zhijun
    Real-time vehicle make and model recognition with the residual SqueezeNet architecture
    Sensors, Volume 19, Number 5, Pages: 982, 2019
    DOI: 10.3390/s19050982

  9. Awan, Nabeela, Khan, Salman, Rahmani, M Khalid Imam, Tahir, Muhammad, Alam, Nur, Alturki, Ryan, Ullah, Ihsan
    Machine learning-enabled power scheduling in IoT-based smart cities
    Comput. Mater. Contin, Volume 67, Number 2, Pages: 2449-2462, 2021 —————-

    Conferences

  10. Ullah, Ihsan , Chikontwe, Philip, Park, Sang Hyun Guidewire Tip Tracking using U-Net with Shape and Motion Constraints
    2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Pages: 215-217, 2019
    DOI: 10.1109/ICAIIC.2019.8669088

  11. Chikontwe, Philip, Ullah, Ihsan , Kim, Janghyeon, Won, DongKyu, Park, Sang Hyun Recurrent Attention Models for Tissue Histopathology Image Classification
    31st Workshop on Image Processing and Image Understanding (IPIU), 2019
    Link

  12. Alam, MD Nur, Ullah, Ihsan, Al-Absi, Ahmed Abdulhakim Deep Learning-Based Apple Defect Detection with Residual SqueezeNet
    International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation, Pages: 127-134, 2018
    Link

  13. Ullah, Ihsan, Chikontwe, Philip, Park, Sang Hyun Catheter synthesis in X-Ray fluoroscopy with generative adversarial networks
    MICCAI PRIME Workshop, Pages: 125-133, 2019
    Link