Publications

Works in Progress

• Pioneering the Path Forward: A Rigorous Analysis of Recent Developments in Transformer Models and Their Implications for the Future
  Jeonghwan Gwak, Zahid Ullah , Saeed Ahmad, and Sharjeel Masood.
  Submitted to Journal of Big Data, 2023.
• FE-Net: Correlation-based 2D feature enhancement for brain tumor segmentation
  Zahid Ullah, Sharjeel Masood, and Jeonghwan Gwak.
  Submitted to Engineering Applications of Artificial Intelligence, 2023.
• Full-Resolution Transformer-Based Approach for Enhanced Teeth Segmentation and Numbering
  Zahid Ullah, Sharjeel Masood, and Jeonghwan Gwak.
  Submitted to IEEE Transactions on Visualization and Computer Graphics
• Tooth Instance Segmentation in Panoramic Dental Images Using Pixel-Pair Affinity Pyramid and Cascaded Graph Partitioning
  Zahid Ullah, Sharjeel Masood, and Jeonghwan Gwak.
  Submitted to International Journal of Medical Informatics, 2023.
• CORAUNet: Configured and Optimized 3D Residual Attention UNet for Brain Tumor Segmentation
  Saeed Ahmad, Zahid Ullah, Younghoon Jeon, Bong-Keun Kim, Asifullah, Khan and Jeonghwan Gwak.
  Submitted to IEEE Transactions on Visualization and Computer Graphics, 2023

Journals

1. Multi-Teacher Cross-Modal Distillation with Cooperative Deep Supervision Fusion Learning for Unimodal Segmentation
   S Ahmad, Z Ullah, J Gwak.
   Knowledge-Based Systems, Volume 297, May 2024
2. DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs
   MU Farooq, Z Ullah, A Khan, J Gwak
   Computers in Biology and Medicine, Volume 167, December 2023, 107570.
3. 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.
4. 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
5. Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography
   MU Farooq, Z Ullah, J Gwak
   Computerized Medical Imaging and Graphics 104, 102173
   
6. 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
7. 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
8. MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
   J Kang, Z Ullah, J Gwak
   Sensors, 21
9. A hybrid image enhancement based brain MRI images classification technique
   Z Ullah, MU Farooq, SH Lee, D An
   Medical hypotheses 143, 109922
10. Histogram Equalization based Enhancement and MR Brain Image Skull Stripping using Mathematical Morphology
    Z Ullah, SH Lee, D An
    International Journal of Advanced Computer Science, 2020
11. Critical Analysis of Brain Magnetic Resonance Images Tumor Detection and Classification Techniques
    Z Ullah, SH Lee, D An
    International Journal of Advanced Computer Science, 2020
12. Enhanced feature extraction technique for brain MRI classification based on Haar wavelet and statistical moments
    Z Ullah, SH Lee, M Fayaz
    International Journal of Advanced and Applied Sciences 6.7 (2019): 89-98.
13. Features Reductions Using Color Moments and Classification of Brain MRI Using K-NN
    Z Ullah, SH Lee, MNA Khan, M Fayaz, MM Iqbal
    Technical Journal 23.04 (2018): 77-83.
14. Critical analysis of data mining techniques on medical data
    Z Ullah, M Fayaz, A Iqbal
    International Journal of Modern Education and Computer Science 8.2 (2016): 42.

Conferences

1. DeepADNet: A CNN‐LSTM model for the multi‐class classification of Alzheimer’s disease using multichannel EEG
   TKK Ho, YH Jeon, E Na, Z Ullah, BC Kim, KH Lee, JI Song, J Gwak
   Alzheimer's & Dementia 17, e057573
2. Anomaly detection system using ResUNet++-based image restoration technique
   JG J Kang, H Lim, D Min, Z Ullah
   conference of the Korean Society for Next-Generation Computing, 401-403
3. Efficient data preprocessing method for anomaly detection based on restoration model
   JG J Kang, H Lim, M Kim, Z Ullah
   Conference of the Korean Society for Next-Generation Computing, 375-377
   
4. Magnetic Resonance Brain Image Contrast Enhancement Using Histogram Equalization Techniques
   Z Ullah, SH Lee
   Journal of the Korea Society of Computer and Information, 2019.