| Classifying pneumonia among chest X-rays using transfer learning A Irfan, AL Adivishnu, A Sze-To, T Dehkharghanian, S Rahnamayan, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 27 | 2020 |
| Binary codes for tagging x-ray images via deep de-noising autoencoders A Sze-To, HR Tizhoosh, AKC Wong 2016 International Joint Conference on Neural Networks (IJCNN), 2864-2871, 2016 | 18 | 2016 |
| tchexnet: Detecting pneumothorax on chest x-ray images using deep transfer learning A Sze-To, Z Wang Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019 | 17 | 2019 |
| Searching for pneumothorax in x-ray images using autoencoded deep features A Sze-To, A Riasatian, HR Tizhoosh Scientific reports 11 (1), 9817, 2021 | 14 | 2021 |
| Pattern to knowledge: deep knowledge-directed machine learning for residue-residue interaction prediction AKC Wong, HY Sze-To, GL Johanning Scientific reports 8 (1), 14841, 2018 | 13 | 2018 |
| A weight-selection strategy on training deep neural networks for imbalanced classification A Sze-To, AKC Wong Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017 | 13 | 2017 |
| Searching for pneumothorax in half a million chest x-ray images A Sze-To, H Tizhoosh Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 12 | 2020 |
| Prediction of protein–protein interaction via co-occurring aligned pattern clusters A Sze-To, S Fung, ESA Lee, AKC Wong Methods 110, 26-34, 2016 | 11 | 2016 |
| Revealing subtle functional subgroups in class A scavenger receptors by pattern discovery and disentanglement of aligned pattern clusters PY Zhou, ESA Lee, A Sze-To, AKC Wong Proteomes 6 (1), 10, 2018 | 10 | 2018 |
| Discovering deep knowledge from relational data by attribute-value association AKC Wong, PY Zhou, A Sze-To Proceedings of the International Conference on Data Science (ICDATA), 51-57, 2017 | 9 | 2017 |
| Discovering co-occurring patterns and their biological significance in protein families ESA Lee, S Fung, HY Sze-To, AKC Wong BMC bioinformatics 15, 1-13, 2014 | 9 | 2014 |
| Discovering binding cores in protein-DNA binding using association rule mining with statistical measures MH Wong, HY Sze-To, LY Lo, TM Chan, KS Leung IEEE/ACM transactions on computational biology and bioinformatics 12 (1 …, 2014 | 9 | 2014 |
| Discovery and disentanglement of aligned residue associations from aligned pattern clusters to reveal subgroup characteristics PY Zhou, A Sze-To, AKC Wong BMC medical genomics 11, 35-49, 2018 | 8 | 2018 |
| Discovering protein-dna binding cores by aligned pattern clustering ESA Lee, HYA Sze-To, MH Wong, KS Leung, TCK Lau, AKC Wong IEEE/ACM transactions on computational biology and bioinformatics 14 (2 …, 2015 | 8 | 2015 |
| Confirming biological significance of co-occurrence clusters of aligned pattern clusters ESA Lee, S Fung, HY Sze-To, AKC Wong 2013 IEEE International Conference on Bioinformatics and Biomedicine, 422-427, 2013 | 8 | 2013 |
| Modeling associated protein-DNA pattern discovery with unified scores TM Chan, LY Lo, HY Sze-To, KS Leung, X Xiao, MH Wong IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (3 …, 2013 | 8 | 2013 |
| Discovering patterns from sequences using pattern-directed aligned pattern clustering A Sze-To, AKC Wong IEEE Transactions on Nanobioscience 17 (3), 209-218, 2018 | 6 | 2018 |
| Predicting Protein-protein interaction using co-occurring Aligned Pattern Clusters A Sze-To, S Fung, ESA Lee, AKC Wong 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 4 | 2015 |
| Gp-pi: Using genetic programming with penalization and initialization on genome-wide association study HY Sze-To, KY Lee, KY Tso, MH Wong, KH Lee, NLS Tang, KS Leung Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 4 | 2013 |
| Pattern-directed aligned pattern clustering A Sze-To, AKC Wong 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 3 | 2017 |
H.R. TizhooshKIMIA Lab, Mayo ClinicDirección de correo verificada de mayo.edu
