| MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers J Kang, Z Ullah, J Gwak Sensors, 21, 2021 | 338 | 2021 |
| A hybrid image enhancement based brain MRI images classification technique Z Ullah, MU Farooq, SH Lee, D An Medical hypotheses 143, 109922, 2020 | 109 | 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 | 46 | 2022 |
| 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 | 24 | 2023 |
| 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 | 23 | 2023 |
| Enhanced feature extraction technique for brain MRI classification based on Haar wavelet and statistical moments Z Ullah International Journal of Advanced and Applied Sciences 6 (Issue 7), 89-98, 2019 | 21 | 2019 |
| 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), 42, 2016 | 16 | 2016 |
| 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, 2023 | 13 | 2023 |
| 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 | 8 | 2023 |
| Histogram Equalization based Enhancement and MR Brain Image Skull Stripping using Mathematical Morphology Z Ullah (IJACSA) International Journal of Advanced Computer Science and Applications …, 2020 | 7 | 2020 |
| 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, 2021 | 6 | 2021 |
| Features Reductions Using Color Moments and Classification of Brain MRI Using K-NN Z Ullah Technical Journal, UET Taxila 23 (4), 77-83, 2018 | 4 | 2018 |
| Critical Analysis of Brain Magnetic Resonance Images Tumor Detection and Classification Techniques Z Ullah, SH Lee, D An | 3 | 2020 |
| Magnetic Resonance Brain Image Contrast Enhancement Using Histogram Equalization Techniques Z Ullah Journal of the Korea Society of Computer and Information, 2019 | 2 | 2019 |
| 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 167, 107570, 2023 | | 2023 |
| Effective Data Preprocessing for a Reconstruction model-based Anomaly Detection JG Jaeyong Kang, Hyunseok Lim, Mingyu Kim, Zahid Ullah 2021 Next Generation Computing Conference, 2021 | | 2021 |
| 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, 2021 | | 2021 |
| 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, 2021 | | 2021 |
Jeonghwan GwakAssociate Professor, Korea National University of TransportationEmail verificata su ut.ac.kr
