| RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data CD Broeckling, FA Afsar, S Neumann, A Ben-Hur, JE Prenni Analytical chemistry 86 (14), 6812-6817, 2014 | 300 | 2014 |
| Detection and localization of myocardial infarction using k-nearest neighbor classifier M Arif, IA Malagore, FA Afsar Journal of medical systems 36, 279-289, 2012 | 235 | 2012 |
| Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine … M Bilal, SEA Raza, A Azam, S Graham, M Ilyas, IA Cree, D Snead, ... The Lancet Digital Health 3 (12), e763-e772, 2021 | 169 | 2021 |
| Fingerprint identification and verification system using minutiae matching FA Afsar, M Arif, M Hussain National conference on emerging technologies 2, 141-146, 2004 | 144 | 2004 |
| Robust electrocardiogram (ECG) beat classification using discrete wavelet transform M Arif Physiological measurement 29 (5), 555, 2008 | 131 | 2008 |
| Lizard: A large-scale dataset for colonic nuclear instance segmentation and classification S Graham, M Jahanifar, A Azam, M Nimir, YW Tsang, K Dodd, E Hero, ... Proceedings of the IEEE/CVF international conference on computer vision, 684-693, 2021 | 129 | 2021 |
| PAIRpred: partner‐specific prediction of interacting residues from sequence and structure FA Afsar Minhas, BJ Geiss, A Ben‐Hur Proteins: Structure, Function, and Bioinformatics 82 (7), 1142-1155, 2014 | 93 | 2014 |
| Machine learning predicts new anti-CRISPR proteins S Eitzinger, A Asif, KE Watters, AT Iavarone, GJ Knott, JA Doudna, ... Nucleic acids research 48 (9), 4698-4708, 2020 | 85 | 2020 |
| Capturing cellular topology in multi-gigapixel pathology images W Lu, S Graham, M Bilal, N Rajpoot, F Minhas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 80 | 2020 |
| SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer W Lu, M Toss, M Dawood, E Rakha, N Rajpoot, F Minhas Medical Image Analysis 80, 102486, 2022 | 79 | 2022 |
| Automated classification of liver disorders using ultrasound images FAA Minhas, D Sabih, M Hussain Journal of medical systems 36, 3163-3172, 2012 | 77 | 2012 |
| AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides S Gull, N Shamim, F Minhas Computers in biology and medicine 107, 172-181, 2019 | 68 | 2019 |
| Conic: Colon nuclei identification and counting challenge 2022 S Graham, M Jahanifar, QD Vu, G Hadjigeorghiou, T Leech, D Snead, ... arXiv preprint arXiv:2111.14485, 2021 | 67 | 2021 |
| Automatic detection and localization of myocardial infarction using back propagation neural networks M Arif, IA Malagore, FA Afsar 2010 4th International Conference on Bioinformatics and Biomedical …, 2010 | 62 | 2010 |
| One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification S Graham, QD Vu, M Jahanifar, SEA Raza, F Minhas, D Snead, N Rajpoot Medical Image Analysis 83, 102685, 2023 | 61 | 2023 |
| Detection of ST segment deviation episodes in ECG using KLT with an ensemble neural classifier FA Afsar, M Arif, J Yang Physiological measurement 29 (7), 747, 2008 | 49 | 2008 |
| Pruned fuzzy K-nearest neighbor classifier for beat classification M Arif, MU Akram Journal of Biomedical Science and Engineering 3 (04), 380, 2010 | 47 | 2010 |
| TIAToolbox as an end-to-end library for advanced tissue image analytics J Pocock, S Graham, QD Vu, M Jahanifar, S Deshpande, ... Communications medicine 2 (1), 120, 2022 | 46 | 2022 |
| Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery M Dawood, A Asif, FAA Minhas Neural Computing and Applications 32 (13), 9009-9017, 2020 | 46 | 2020 |
| ISLAND: in-silico proteins binding affinity prediction using sequence information WA Abbasi, A Yaseen, FU Hassan, S Andleeb, FUAA Minhas BioData Mining 13, 1-13, 2020 | 45 | 2020 |
Nasir M. RajpootTissue Image Analytics (TIA) Centre, University of Warwick在 warwick.ac.uk 的电子邮件经过验证
