| Automated model building and protein identification in cryo-EM maps K Jamali, L Käll, R Zhang, A Brown, D Kimanius, SHW Scheres Nature 628 (8007), 450-457, 2024 | 216 | 2024 |
| Data-driven regularization lowers the size barrier of cryo-EM structure determination D Kimanius, K Jamali, ME Wilkinson, S Lövestam, V Velazhahan, ... Nature Methods, 1-6, 2024 | 62 | 2024 |
| A graph neural network approach to automated model building in cryo-EM maps K Jamali, D Kimanius, S Scheres | 37 | 2022 |
| Rapid discovery of high-affinity antibodies via massively parallel sequencing, ribosome display and affinity screening BT Porebski, M Balmforth, G Browne, A Riley, K Jamali, MJLJ Fürst, ... Nature biomedical engineering 8 (3), 214-232, 2024 | 31 | 2024 |
| ModelAngelo: automated model building in cryo-EM maps K Jamali, D Kimanius, S Scheres arXiv preprint arXiv:2210.00006 10, 2022 | 28 | 2022 |
| An inductive bias for distances: Neural nets that respect the triangle inequality S Pitis, H Chan, K Jamali, J Ba arXiv preprint arXiv:2002.05825, 2020 | 26 | 2020 |
| Fast protein structure searching using structure graph embeddings JG Greener, K Jamali bioRxiv, 2022.11. 28.518224, 2022 | 10 | 2022 |
| Sparse Fourier backpropagation in cryo-EM reconstruction D Kimanius, K Jamali, S Scheres Advances in Neural Information Processing Systems 35, 12395-12408, 2022 | 7 | 2022 |
| Modelangelo: automated model building in cryo-em maps J Kiarash, K Dari, S Sjors arXiv preprint arXiv:2210.00006, 2022 | 2 | 2022 |
| ChainGAN: a sequential approach to GANs S Hossain, K Jamali, Y Li, F Rudzicz arXiv preprint arXiv:1811.08081, 2018 | 1 | 2018 |
| DeepConsensus: using the consensus of features from multiple layers to attain robust image classification Y Li, S Hossain, K Jamali, F Rudzicz arXiv preprint arXiv:1811.07266, 2018 | 1 | 2018 |
