| Skin lesion segmentation based on vision transformers and convolutional neural networks—a comparative study Y Gulzar, SA Khan Applied Sciences 12 (12), 5990, 2022 | 88 | 2022 |
| Multimodal single cell data integration challenge: results and lessons learned C Lance, MD Luecken, DB Burkhardt, R Cannoodt, P Rautenstrauch, ... Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, PMLR …, 2022 | 71 | 2022 |
| A deep learning architecture for classifying medical images of anatomy object S Khan, SP Yong 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 53 | 2017 |
| Modality classification of medical images with distributed representations based on cellular automata reservoir computing D Kleyko, S Khan, E Osipov, SP Yong 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 50 | 2017 |
| A comparison of deep learning and hand crafted features in medical image modality classification S Khan, SP Yong 2016 3rd international conference on computer and information sciences …, 2016 | 50 | 2016 |
| Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition S Radhakrishnan, CHH Yang, SA Khan, R Kumar, NA Kiani, ... Empirical Methods in Natural Language Processing - EMNLP 2023, 2023 | 41 | 2023 |
| A modified HSIFT Descriptor for medical image classification of anatomy objects SA Khan, Y Gulzar, S Turaev, YS Peng Symmetry 13 (11), 1987, 2021 | 30 | 2021 |
| Rheological behavior of scCO2-Foam for improved hydrocarbon recovery: Experimental and deep learning approach S Ahmed, W Alameri, WW Ahmed, SA Khan Journal of Petroleum Science and Engineering 203, 108646, 2021 | 21 | 2021 |
| An evaluation of convolutional neural nets for medical image anatomy classification SA Khan, SP Yong Advances in Machine Learning and Signal Processing: Proceedings of MALSIP …, 2016 | 14 | 2016 |
| A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model S Radhakrishnan, CHH Yang, SA Khan, NA Kiani, D Gomez-Cabrero, ... INTERSPEECH 2023, 2023 | 13 | 2023 |
| Ensemble classification with modified sift descriptor for medical image modality S Khan, SP Yong, JD Deng 2015 International Conference on Image and Vision Computing New Zealand …, 2015 | 13 | 2015 |
| Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers SA Khan, A Maillo, V Lagani, R Lehmann, NA Kiani, D Gomez-Cabrero, ... Nature Machine Intelligence, 1-10, 2023 | 12* | 2023 |
| Foundation models meet imbalanced single-cell data when learning cell type annotations AR Alsabbagh, AMR de Infante, D Gomez-Cabrero, NA Kiani, SA Khan, ... bioRxiv, 2023.10. 24.563625, 2023 | 9 | 2023 |
| A review on feature selection methods for improving the performance of classification in educational data mining M Zaffar, MA Hashmani, KS Savita, SA Khan International Journal of Information Technology and Management 20 (1-2), 110-131, 2021 | 9 | 2021 |
| scAEGAN: Unification of single-cell genomics data by adversarial learning of latent space correspondences SA Khan, R Lehmann, X Martinez-de-Morentin, A Maillo, V Lagani, ... Plos one 18 (2), e0281315, 2023 | 8 | 2023 |
| Adaptative machine translation between paired single-cell Multi-omics Data X Martinez-de-Morentin, SA Khan, R Lehmann, S Qu, A Maillo, NA Kiani, ... BioRxiv, 2021.01. 27.428400, 2021 | 7 | 2021 |
| Factors affecting drilling incidents: Prediction of suck pipe by XGBoost model T Kizayev, S Irawan, JA Khan, SA Khan, B Cai, N Zeb, DDK Wayo Energy Reports 9, 270-279, 2023 | 5 | 2023 |
| Deep Learning Approach to Predict Rheological Behavior of scCO2 Foam Fracturing Fluid Under Different Operating Conditions S Ahmed, W Alameri, W Ahmed, S Khan Abu Dhabi International Petroleum Exhibition and Conference, D031S091R003, 2020 | 5 | 2020 |
| LEP-AD: Language Embedding of Proteins and Attention to Drugs predicts drug target interactions A Daga, SA Khan, DG Cabrero, R Hoehndorf, N Kiani, J Tegner ICLR 2023-Machine Learning for Drug Discovery workshop, 2023 | 3 | 2023 |
| A Robust Predictive Machine Learning Model for Supercritical CO2 Foam Strength with Integrated Testing Parameters S Ahmed, W Alameri, WW Ahmed, AS Hanamertani, SA Khan Abu Dhabi International Petroleum Exhibition and Conference, D012S134R001, 2021 | 3 | 2021 |
Jesper TegnérProfessor. Bio, CS, BioE, STAT,KAUST, Strategic Chaired Professor, Director, Karolinska Institutetכתובת אימייל מאומתת בדומיין kaust.edu.sa