| Deep learning with dynamically weighted loss function for sensor-based prognostics and health management D Rengasamy, M Jafari, B Rothwell, X Chen, GP Figueredo Sensors 20 (3), 723, 2020 | 108 | 2020 |
| DRU-Net: an efficient deep convolutional neural network for medical image segmentation M Jafari, D Auer, S Francis, J Garibaldi, X Chen 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1144-1148, 2020 | 80 | 2020 |
| FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net M Jafari, R Li, Y Xing, D Auer, S Francis, J Garibaldi, X Chen International Conference on Image and Graphics 11902, 529-537, 2019 | 22 | 2019 |
| LMISA: A Lightweight Multi-modality Image Segmentation Network via Domain Adaptation using Gradient Magnitude and Shape Constraint M Jafari, S Francis, JM Garibaldi, X Chen Medical Image Analysis, 2022 | 15 | 2022 |
| An Artificial Intelligence Method for Comfort Level Prediction SM Sajjadian, M Jafari, PO Siebers International Conference on Sustainability in Energy and Buildings 131, 169-177, 2018 | 14 | 2018 |
| An expandable, contextualized and data-driven indoor thermal comfort model SM Sajjadian, M Jafari, D Pekaslan Energy and Built Environment 1 (4), 385-392, 2020 | 12 | 2020 |
| Regression models for predicting the global warming potential of thermal insulation materials I Tajuddeen, SM Sajjadian, M Jafari Buildings 13 (1), 171, 2023 | 10 | 2023 |
| Genotype-phenotype taxonomy of hypertrophic cardiomyopathy L Curran, A de Marvao, P Inglese, KA McGurk, PR Schiratti, A Clement, ... Circulation: Genomic and Precision Medicine 16 (6), e004200, 2023 | 8 | 2023 |
| A hybrid framework for reverse engineering of robust Gene Regulatory Networks M Jafari, B Ghavami, V Sattari Artificial Intelligence in Medicine 79, 15-27, 2017 | 8 | 2017 |
| Automatic Architectural Drawing Labelling Using Deep Convolutional Neural Network SM Sajjadian, M Jafari, X Chen Sustainability in Energy and Buildings 2021, 69-78, 2022 | 6 | 2022 |
| An information gain approach to infer gene regulatory networks M Jafari, B Ghavami, VS Naeini 2015 22nd Iranian Conference on Biomedical Engineering (ICBME), 81-86, 2015 | 5 | 2015 |
| Cardiac age prediction using graph neural networks MHA Inácio, M Shah, M Jafari, N Shehata, Q Meng, W Bai, A Gandy, ... MedRxiv, 2023.04. 19.23287590, 2023 | 3 | 2023 |
| The inference of predictor set in gene regulatory networks using gravitational search algorithm M Jafari, VS Naeini, B Ghavami 2016 1st Conference on Swarm Intelligence and Evolutionary Computation …, 2016 | 2 | 2016 |
| A Decision Making Approach for Chemotherapy Planning based on Evolutionary Processing M Jafari, B Ghavami, VS Naeini arXiv preprint arXiv:2303.10535, 2023 | 1 | 2023 |
| A Genotype-phenotype Taxonomy of Hypertrophic Cardiomyopathy L Curran, A De Marvao, P Inglese, K McGurk, A Clement, S Zheng, S Li, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| Cardiac age prediction using graph neural networks I MHdA, M Shah, M Jafari, N Shehata, Q Meng, W Bai, A Gandy, B Glocker, ... | | 2023 |
| A phenotypic taxonomy of hypertrophic cardiomyopathy L Curran, A de Marvao, P Inglese, KA McGurk, PR Schiratti, A Clement, ... medRxiv, 2023.03. 11.23285908, 2023 | | 2023 |
| Data Interpretation in Thermal Comfort Using Association Rule Mining Method M Sajjadian, M Jafari | | 2019 |
| The Predictor Set Inference in Gene Regulatory Network Using Gravitational Search Algorithm and Mean Conditional Entropy Fitness Measure M Jafari, B Ghavami, VS Naeini Iranian Journal of Biomedical Engineering (In Persian), 2017 | | 2017 |
| The Inference of Gene Regulatory Networks based on CUDA Architecture and Pearson Correlation Coefficient M Jafari, VS Naeini, B Ghavami 7th International Conference on Information and Knowledge Technology …, 2015 | | 2015 |
Xin ChenAssociate Professor, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证
