| Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection L Hussain, T Nguyen, H Li, AA Abbasi, KJ Lone, Z Zhao, M Zaib, A Chen, ... BioMedical Engineering OnLine 19, 1-18, 2020 | 129 | 2020 |
| Detecting prostate cancer using deep learning convolution neural network with transfer learning approach AA Abbasi, L Hussain, IA Awan, I Abbasi, A Majid, MSA Nadeem, ... Cognitive Neurodynamics 14, 523-533, 2020 | 96 | 2020 |
| Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies L Hussain, A Ahmed, S Saeed, S Rathore, IA Awan, SA Shah, A Majid, ... Cancer Biomarkers 21 (2), 393-413, 2018 | 96 | 2018 |
| Prostate cancer detection using deep learning and traditional techniques S Iqbal, GF Siddiqui, A Rehman, L Hussain, T Saba, U Tariq, AA Abbasi IEEE Access 9, 27085-27100, 2021 | 66 | 2021 |
| Deep learning scheme for character prediction with position-free touch screen-based Braille input method S Shokat, R Riaz, SS Rizvi, AM Abbasi, AA Abbasi, SJ Kwon Human-centric Computing and Information Sciences 10, 1-24, 2020 | 28 | 2020 |
| Detecting brain tumors using deep learning convolutional neural network with transfer learning approach S Anjum, L Hussain, M Ali, MH Alkinani, W Aziz, S Gheller, AA Abbasi, ... International Journal of Imaging Systems and Technology 32 (1), 307-323, 2022 | 27 | 2022 |
| Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning … L Hussain, KJ Lone, IA Awan, AA Abbasi, JR Pirzada Waves in Random and Complex Media 32 (3), 1079-1102, 2022 | 23 | 2022 |
| Automated lung cancer detection based on multimodal features extracting strategy using machine learning techniques L Hussain, S Rathore, AA Abbasi, S Saeed Medical imaging 2019: physics of medical imaging 10948, 919-925, 2019 | 20 | 2019 |
| Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques L Hussain, W Aziz, S Saeed, IA Awan, AA Abbasi, N Maroof Waves in Random and Complex Media 30 (4), 656-686, 2020 | 19 | 2020 |
| Automated multi-class brain tumor types detection by extracting RICA based features and employing machine learning techniques S Anjum, L Hussain, M Ali, AA Abbasi Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 6 | 2020 |
| Multiscale entropy analysis to quantify the dynamics of motor movement signals with fist or feet movement using topographic maps L Hussain, W Aziz, AA Alshdadi, AA Abbasi, A Majid, AR Marchal Technology and Health Care 28 (3), 259-273, 2020 | 2 | 2020 |
| Improving Multi-class Brain Tumor Detection Using Vision Transformer as Feature Extractor AA Abbasi, L Hussain, B Ahmed International Conference on Intelligent Systems and Machine Learning, 3-14, 2022 | | 2022 |
| AI-based non-deep learning and deep learning techniques used to accurately predict prostate cancer L Hussain, AA Abbasi Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3: Brain …, 2022 | | 2022 |
Lal Hussain, Assistant ProfessorUniversity of Azad Jammu and KashmirVerified email at ajku.edu.pk
