| Bu-net: Brain tumor segmentation using modified u-net architecture MU Rehman, SB Cho, JH Kim, KT Chong Electronics 9 (12), 2203, 2020 | 102 | 2020 |
| Classification of diabetic retinopathy images based on customised CNN architecture SH Khan, Z Abbas, SMD Rizvi 2019 Amity International conference on artificial intelligence (AICAI), 244-248, 2019 | 101 | 2019 |
| Brainseg-net: Brain tumor mr image segmentation via enhanced encoder–decoder network MU Rehman, SB Cho, J Kim, KT Chong Diagnostics 11 (2), 169, 2021 | 93 | 2021 |
| Classification of skin lesion by interference of segmentation and convolotion neural network M ur Rehman, SH Khan, SMD Rizvi, Z Abbas, A Zafar 2018 2nd International Conference on Engineering Innovation (ICEI), 81-85, 2018 | 70 | 2018 |
| Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images MU Rehman, S Akhtar, M Zakwan, MH Mahmood Biomedical Signal Processing and Control 71, 103212, 2022 | 50 | 2022 |
| An efficient gray-level co-occurrence matrix (GLCM) based approach towards classification of skin lesion Z Abbas, M Rehman, S Najam, SMD Rizvi 2019 amity international conference on artificial intelligence (AICAI), 317-320, 2019 | 48 | 2019 |
| DNA6mA-MINT: DNA-6mA modification identification neural tool MU Rehman, KT Chong Genes 11 (8), 898, 2020 | 39 | 2020 |
| RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames MU Rehman, J Ryu, IF Nizami, KT Chong Computers in Biology and Medicine 152, 106426, 2023 | 36 | 2023 |
| DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species MU Rehman, H Tayara, KT Chong Computational and structural biotechnology journal 19, 6009-6019, 2021 | 36 | 2021 |
| m6A-NeuralTool: convolution neural tool for RNA N6-methyladenosine site identification in different species MU Rehman, KJ Hong, H Tayara, K to Chong IEEE Access 9, 17779-17786, 2021 | 32 | 2021 |
| i6mA-Caps: A CapsuleNet-based framework for identifying DNA N6-methyladenine sites MU Rehman, H Tayara, Q Zou, KT Chong Bioinformatics 38 (16), 3885-3891, 2022 | 29 | 2022 |
| DL-m6A: Identification of N6-methyladenosine Sites in Mammals using deep learning based on different encoding schemes MU Rehman, H Tayara, KT Chong IEEE/ACM Transactions on computational biology and bioinformatics 20 (2 …, 2022 | 26 | 2022 |
| DeepRPN-BIQA: Deep architectures with region proposal network for natural-scene and screen-content blind image quality assessment M ur Rehman, IF Nizami, M Majid Displays 71, 102101, 2022 | 24 | 2022 |
| Evaluating the issues and challenges in context of the energy crisis of Pakistan SZ Hassan, T Kamal Indian Journal of Science and Technology 9, 36, 2016 | 24 | 2016 |
| SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation J Ryu, MU Rehman, IF Nizami, KT Chong Computers in Biology and Medicine 163, 107132, 2023 | 21 | 2023 |
| Diabetic retinopathy fundus image classification using discrete wavelet transform M Ur Rehman, Z Abbas, SH Khan, SH Ghani 2018 2nd International Conference on Engineering Innovation (ICEI), 75-80, 2018 | 20 | 2018 |
| No-reference image quality assessment using bag-of-features with feature selection IF Nizami, M Majid, M Rehman, SM Anwar, A Nasim, K Khurshid Multimedia Tools and Applications 79, 7811-7836, 2020 | 18 | 2020 |
| Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform IF Nizami, M Rehman, M Majid, SM Anwar Multimedia Tools and Applications 79 (35), 26285-26304, 2020 | 17 | 2020 |
| XGBoost framework with feature selection for the prediction of RNA N5-methylcytosine sites Z Abbas, M ur Rehman, H Tayara, Q Zou, KT Chong Molecular Therapy 31 (8), 2543-2551, 2023 | 14 | 2023 |
| Towards security of GSM voice communication FI Abro, F Rauf, BS Chowdhry, M Rajarajan Wireless Personal Communications 108 (3), 1933-1955, 2019 | 14 | 2019 |
Kil To ChongJeonbuk National University在 jbnu.ac.kr 的电子邮件经过验证
