| Parkinson’s disease diagnosis using machine learning and voice TJ Wroge, Y Özkanca, C Demiroglu, D Si, DC Atkins, RH Ghomi 2018 IEEE signal processing in medicine and biology symposium (SPMB), 1-7, 2018 | 216 | 2018 |
| DeepTracer for fast de novo cryo-EM protein structure modeling and special studies on CoV-related complexes J Pfab, NM Phan, D Si Proceedings of the National Academy of Sciences 118 (2), e2017525118, 2021 | 182 | 2021 |
| Deep learning to predict protein backbone structure from high-resolution cryo-EM density maps D Si, SA Moritz, J Pfab, J Hou, R Cao, L Wang, T Wu, J Cheng Scientific reports 10 (1), 4282, 2020 | 104 | 2020 |
| A machine learning approach for the identification of protein secondary structure elements from electron cryo‐microscopy density maps D Si, S Ji, KA Nasr, J He Biopolymers 97 (9), 698-708, 2012 | 104 | 2012 |
| Structural insights into Ubr1-mediated N-degron polyubiquitination M Pan, Q Zheng, T Wang, L Liang, J Mao, C Zuo, R Ding, H Ai, Y Xie, D Si, ... Nature 600 (7888), 334-338, 2021 | 92 | 2021 |
| Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge CL Lawson, A Kryshtafovych, PD Adams, PV Afonine, ML Baker, ... Nature methods 18 (2), 156-164, 2021 | 90 | 2021 |
| Cryo-EM structure of an extracellular Geobacter OmcE cytochrome filament reveals tetrahaem packing F Wang, K Mustafa, V Suciu, K Joshi, CH Chan, S Choi, Z Su, D Si, ... Nature Microbiology 7 (8), 1291-1300, 2022 | 87 | 2022 |
| Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy R Li, D Si, T Zeng, S Ji, J He 2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016 | 69 | 2016 |
| Beta-sheet detection and representation from medium resolution cryo-EM density maps D Si, J He Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | 56 | 2013 |
| Tracing beta strands using StrandTwister from cryo-EM density maps at medium resolutions D Si, J He Structure 22 (11), 1665-1676, 2014 | 48 | 2014 |
| Structure of Geobacter OmcZ filaments suggests extracellular cytochrome polymers evolved independently multiple times F Wang, CH Chan, V Suciu, K Mustafa, M Ammend, D Si, AI Hochbaum, ... Elife 11, e81551, 2022 | 45 | 2022 |
| AngularQA: protein model quality assessment with LSTM networks M Conover, M Staples, D Si, M Sun, R Cao Computational and Mathematical Biophysics 7 (1), 1-9, 2019 | 42 | 2019 |
| DeepTracer-ID: De novo protein identification from cryo-EM maps L Chang, F Wang, K Connolly, H Meng, Z Su, V Cvirkaite-Krupovic, ... Biophysical Journal 121 (15), 2840-2848, 2022 | 34 | 2022 |
| Deep learning for validating and estimating resolution of cryo-electron microscopy density maps TK Avramov, D Vyenielo, J Gomez-Blanco, S Adinarayanan, J Vargas, ... Molecules 24 (6), 1181, 2019 | 34 | 2019 |
| Cancer type prediction and classification based on rna-sequencing data YH Hsu, D Si 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 31 | 2018 |
| Recent progress of machine learning in gene therapy C Hunt, S Montgomery, JW Berkenpas, N Sigafoos, JC Oakley, ... Current Gene Therapy 22 (2), 132-143, 2022 | 30 | 2022 |
| Prediction of injuries and fatalities in aviation accidents through machine learning RA Burnett, D Si Proceedings of the International Conference on Compute and Data Analysis, 60-68, 2017 | 28 | 2017 |
| A Raspberry Pi-based traumatic brain injury detection system for single-channel electroencephalogram NS Dhillon, A Sutandi, M Vishwanath, MM Lim, H Cao, D Si Sensors 21 (8), 2779, 2021 | 27 | 2021 |
| Comparison of deep learning approaches to low dose CT using low intensity and sparse view data T Humphries, D Si, S Coulter, M Simms, R Xing Medical imaging 2019: physics of medical imaging 10948, 1048-1054, 2019 | 27 | 2019 |
| Building the initial chain of the proteins through de novo modeling of the cryo-electron microscopy volume data at the medium resolutions K Al Nasr, L Chen, D Si, D Ranjan, M Zubair, J He Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012 | 26 | 2012 |