| Binary classification of Alzheimer’s disease using sMRI imaging modality and deep learning AB Tufail, YK Ma, QN Zhang Journal of digital imaging 33 (5), 1073-1090, 2020 | 97 | 2020 |
| Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions AB Tufail, YK Ma, MKA Kaabar, F Martínez, AR Junejo, I Ullah, R Khan Computational and Mathematical Methods in Medicine 2021, 2021 | 87 | 2021 |
| Diagnosis of diabetic retinopathy through retinal fundus images and 3D convolutional neural networks with limited number of samples AB Tufail, I Ullah, WU Khan, M Asif, I Ahmad, YK Ma, R Khan, Kalimullah, ... Wireless Communications and Mobile Computing 2021, 1-15, 2021 | 53 | 2021 |
| 3D convolutional neural networks based automatic modulation classification in the presence of channel noise R Khan, Q Yang, I Ullah, AU Rehman, AB Tufail, A Noor, A Rehman, ... IET Communications 16 (5), 497-509, 2022 | 37 | 2022 |
| Automatic classification of initial categories of Alzheimer’s disease from structural MRI phase images: a comparison of PSVM, KNN and ANN methods AB Tufail, A Abidi, AM Siddiqui, MS Younis Age 2012, 1731, 2012 | 31 | 2012 |
| 3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities AB Tufail, YK Ma, QN Zhang, A Khan, L Zhao, Q Yang, M Adeel, R Khan, ... Brain Informatics 8, 1-9, 2021 | 28 | 2021 |
| Early-stage Alzheimer’s disease categorization using PET neuroimaging modality and convolutional neural networks in the 2D and 3D domains AB Tufail, N Anwar, MTB Othman, I Ullah, RA Khan, YK Ma, D Adhikari, ... Sensors 22 (12), 4609, 2022 | 24 | 2022 |
| Classification of initial stages of alzheimer’s disease through pet neuroimaging modality and deep learning: quantifying the impact of image filtering approaches AB Tufail, YK Ma, MKA Kaabar, AU Rehman, R Khan, O Cheikhrouhou Mathematics 9 (23), 3101, 2021 | 18 | 2021 |
| On disharmony in batch normalization and dropout methods for early categorization of Alzheimer’s disease AB Tufail, I Ullah, AU Rehman, RA Khan, MA Khan, YK Ma, ... Sustainability 14 (22), 14695, 2022 | 13 | 2022 |
| Multiclass classification of initial stages of Alzheimer's disease using structural MRI phase images AB Tufail, A Abidi, AM Siddiqui, MS Younis 2012 IEEE International Conference on Control System, Computing and …, 2012 | 13 | 2012 |
| Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning Z Rasheed, YK Ma, I Ullah, T Al Shloul, AB Tufail, YY Ghadi, MZ Khan, ... Brain Sciences 13 (4), 602, 2023 | 11 | 2023 |
| Multiclass classification of initial stages of Alzheimer's Disease through Neuroimaging modalities and Convolutional Neural Networks AB Tufail, Y Ma, QN Zhang 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference …, 2020 | 8 | 2020 |
| Classification of subjects of mild cognitive impairment and Alzheimer’s disease through neuroimaging modalities and convolutional neural networks AB Tufail, Y Ma, QN Zhang 2020 8th International Conference on Information and Communication …, 2020 | 5 | 2020 |
| Classification of digital modulated covid-19 images in the presence of channel noise using 2D convolutional neural networks R Khan, Q Yang, AB Tufail, A Noor, YK Ma Wireless Communications and Mobile Computing 2021, 1-15, 2021 | 3 | 2021 |
| An efficient adaptive modulation technique over realistic wireless communication channels based on distance and SINR R Khan, Q Yang, A Noor, SB Altaf Khattak, L Guo, AB Tufail Frequenz 76 (1-2), 83-95, 2022 | 1 | 2022 |
| Joint Multiclass Classification of the subjects of Alzheimer’s and Parkinson’s Diseases through Neuroimaging Modalities and Convolutional Neural Networks AB Tufail, YK Ma, QN Zhang, L Zhao 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 1 | 2020 |
| Binary Classification of Modulation Formats in the Presence of Noise through Convolutional Neural Networks R Khan, Q Yang, AB Tufail, YK Ma, A Noor 2020 15th IEEE International Conference on Signal Processing (ICSP) 1, 386-390, 2020 | 1 | 2020 |
| Multiclass Classification of Modulation Formats in the presence of Rayleigh and Rician Channel Noise using Deep Learning Methods R Khan, Y Qiang, AB Tufail, A Noor 2020 3rd International Conference on Information and Communications …, 2020 | 1 | 2020 |
| Independent component analysis based assessment of linked gray and white matter in the initial stages of Alzheimer's disease using structural MRI phase images AB Tufail, SAR Rizvi, AM Siddiqui, MS Younis, A Abidi 2013 International Computer Science and Engineering Conference (ICSEC), 334-338, 2013 | 1 | 2013 |
| Independent component analysis based feature extraction and assessment of alzheimer’s disease through mri neuroimaging biomarker AB Tufail MCS, 2013 | | 2013 |
Inam UllahAssistant Professor, Department of Computer Engineering, Gachon UniversityDirección de correo verificada de gachon.ac.kr
