An effective approach to detect and identify brain tumors using transfer learning N Ullah, JA Khan, MS Khan, W Khan, I Hassan, M Obayya, N Negm, ... Applied Sciences 12 (11), 5645, 2022 | 120 | 2022 |
A novel DeepMaskNet model for face mask detection and masked facial recognition N Ullah, A Javed, MA Ghazanfar, A Alsufyani, S Bourouis Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 99 | 2022 |
An efficient approach for crops pests recognition and classification based on novel deeppestnet deep learning model N Ullah, JA Khan, LA Alharbi, A Raza, W Khan, I Ahmad IEEE Access 10, 73019-73032, 2022 | 81 | 2022 |
DeepBreastCancerNet: A novel deep learning model for breast cancer detection using ultrasound images A Raza, N Ullah, JA Khan, M Assam, A Guzzo, H Aljuaid Applied Sciences 13 (4), 2082, 2023 | 71 | 2023 |
A holistic approach to identify and classify COVID-19 from chest radiographs, ECG, and CT-scan images using shufflenet convolutional neural network N Ullah, JA Khan, S El-Sappagh, N El-Rashidy, MS Khan Diagnostics 13 (1), 162, 2023 | 50 | 2023 |
A novel CovidDetNet deep learning model for effective COVID-19 infection detection using chest radiograph images N Ullah, JA Khan, S Almakdi, MS Khan, M Alshehri, D Alboaneen, A Raza Applied Sciences 12 (12), 6269, 2022 | 39 | 2022 |
A robust end-to-end deep learning-based approach for effective and reliable BTD using MR images N Ullah, MS Khan, JA Khan, A Choi, MS Anwar Sensors 22 (19), 7575, 2022 | 32 | 2022 |
An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model N Ullah, JA Khan, S Almakdi, MS Alshehri, M Al Qathrady, N El-Rashidy, ... Frontiers in Plant Science 14, 1212747, 2023 | 22 | 2023 |
TumorDetNet: A unified deep learning model for brain tumor detection and classification N Ullah, A Javed, A Alhazmi, SM Hasnain, A Tahir, R Ashraf Plos one 18 (9), e0291200, 2023 | 22 | 2023 |
Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images N Ullah, M Hassan, JA Khan, MS Anwar, K Aurangzeb International Journal of Imaging Systems and Technology 34 (1), e23012, 2024 | 16 | 2024 |
Deeplungnet: An effective dl-based approach for lung disease classification using cris N Ullah, M Marzougui, I Ahmad, SA Chelloug Electronics 12 (8), 1860, 2023 | 14 | 2023 |
Chestcovidnet: An effective dl-based approach for covid-19, lung opacity, and pneumonia detection using chest radiographs images N Ullah, JA Khan, S Almakdi, MS Alshehri, M Al Qathrady, MS Anwar, ... Biochemistry and Cell Biology, 2024 | 10 | 2024 |
A lightweight deep learning-based model for tomato leaf disease classification N Ullah, JA Khan, S Almakdi, MS Alshehri, M Al Qathrady, EA Aldakheel, ... Computers, Materials & Continua 77 (3), 3969-3992, 2023 | 8 | 2023 |
Deep features comparative analysis for COVID-19 detection from the chest radiograph images N Ullah, A Javed 2021 International Conference on Frontiers of Information Technology (FIT …, 2021 | 7 | 2021 |
Explainable artificial intelligence: importance, use domains, stages, output shapes, and challenges N Ullah, JA Khan, I De Falco, G Sannino ACM Computing Surveys 57 (4), 1-36, 2024 | 5 | 2024 |
Bridging clinical gaps: multi-dataset integration for reliable multi-class lung disease classification with DeepCRINet and occlusion sensitivity N Ullah, JA Khan, I De Falco, G Sannino 2024 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2024 | 4 | 2024 |
A novel deep learning approach for colon and lung cancer classification using histopathological images N Ullah, I De Falco, G Sannino 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | 3 | 2023 |
A Robust Deep Learning-Based Approach for Breast Cancer Detection from Histopathological Images. R Zaman, IA Shah, N Ullah, GZ Khan MDPI, 2023 | 1 | 2023 |
A Robust Deep Learning-Based Approach for Detection of Breast Cancer from Histopathological Images R Zaman, IA Shah, N Ullah, GZ Khan Engineering Proceedings 56 (1), 313, 2023 | | 2023 |
Automated detection of COVID-19 using Deep Convolutional Neural Network (CNNs) using Chest Radiograph and CT Scan Images N Uallah, JA Khan, A Raza, SY Shah, M Assam, H Arshad | | |