| Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation YNT Vu, R Wang, N Balachandar, C Liu, AY Ng, P Rajpurkar Machine Learning for Healthcare Conference, 755-769, 2021 | 76 | 2021 |
| “Strange” combinatorial quantum modular forms A Folsom, C Ki, YNT Vu, B Yang Journal of Number Theory 170, 315-346, 2017 | 19 | 2017 |
| On algorithms to calculate integer complexity A Epstein, A Hemmady, SJ Miller, E Palsson, A Sharma, S Steinerberger, ... INTEGERS 19, 2, 2019 | 9* | 2019 |
| An improved mammography malignancy model with self-supervised learning YNT Vu, T Tsue, J Su, S Singh Medical Imaging 2021: Computer-Aided Diagnosis 11597, 210-216, 2021 | 7 | 2021 |
| Summand minimality and asymptotic convergence of generalized Zeckendorf decompositions K Cordwell, M Hlavacek, C Huynh, SJ Miller, C Peterson, YNT Vu Research in Number Theory 4 (4), 1-27, 2018 | 7 | 2018 |
| Random matrix ensembles with split limiting behavior P Burkhardt, P Cohen, J DeWitt, M Hlavacek, SJ Miller, C Sprunger, ... Random Matrices: Theory and Applications 7 (03), 1850006, 2018 | 5 | 2018 |
| A deep learning algorithm for reducing false positives in screening mammography S Pedemonte, T Tsue, B Mombourquette, YNT Vu, T Matthews, RM Hoil, ... arXiv preprint arXiv:2204.06671, 2022 | 4 | 2022 |
| Deep is a Luxury We Don’t Have A Taha, YN Truong Vu, B Mombourquette, TP Matthews, J Su, S Singh International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 2 | 2022 |
| WRDet: a breast cancer detector for full-field digital mammograms YNT Vu, B Mombourquette, TP Matthews, J Su, S Singh Medical Imaging 2022: Computer-Aided Diagnosis 12033, 233-244, 2022 | 2 | 2022 |
| Emerging Trends of Sustainability Reporting in the ICT Industry: Insights from Discriminative Topic Mining L Shi, YNT Vu | 2 | 2020 |
| M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector YN Truong Vu, D Guo, A Taha, J Su, TP Matthews International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector YNT Vu, D Guo, A Taha, J Su, TP Matthews arXiv preprint arXiv:2308.06420, 2023 | | 2023 |
| Problems and shortcuts in deep learning for screening mammography T Tsue, B Mombourquette, A Taha, TP Matthews, YNT Vu, J Su arXiv preprint arXiv:2303.16417, 2023 | | 2023 |
