| Deep neural networks improve radiologists’ performance in breast cancer screening N Wu, J Phang, J Park, Y Shen, Z Huang, M Zorin, S Jastrzębski, T Févry, ... IEEE transactions on medical imaging 39 (4), 1184-1194, 2019 | 577 | 2019 |
| A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms Z Huang, G Long, B Wessler, MC Hughes Machine Learning for Healthcare Conference, 614-647, 2021 | 26 | 2021 |
| The Tufts fNIRS Mental Workload Dataset & Benchmark for Brain-Computer Interfaces that Generalize Z Huang, L Wang, G Blaney, C Slaughter, D McKeon, Z Zhou, R Jacob, ... Neural Information Processing Systems (NeurIPS) Track on Datasets and …, 2021 | 17 | 2021 |
| TMED 2: A Dataset for Semi-Supervised Classification of Echocardiograms Z Huang, G Long, BS Wessler, MC Hughes In DataPerf: Benchmarking Data for Data-Centric AI Workshop at ICML2022, 2022 | 13 | 2022 |
| Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms N Wu, Z Huang, Y Shen, J Park, J Phang, T Makino, S Gene Kim, K Cho, ... Journal of Digital Imaging, 1-10, 2021 | 12* | 2021 |
| Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data Z Huang, MJ Sidhom, BS Wessler, MC Hughes AISTATS 2023, 2022 | 9* | 2022 |
| Automated Detection of Aortic Stenosis Using Machine Learning BS Wessler, Z Huang, GM Long Jr, S Pacifici, N Prashar, S Karmiy, ... Journal of the American Society of Echocardiography 36 (4), 411-420, 2023 | 7 | 2023 |
| Taming fNIRS-based BCI Input for Better Calibration and Broader Use L Wang, Z Huang, Z Zhou, D McKeon, G Blaney, MC Hughes, RJK Jacob The 34th Annual ACM Symposium on User Interface Software and Technology, 179-197, 2021 | 6 | 2021 |
| Deep IV in Law: Appellate Decisions and Texts Impact Sentencing in Trial Courts Z Huang, X Zhang, R Wang, DL Chen Elements in Law, Economics and Politics, 2021 | 3* | 2021 |
| Systematic Comparison of Semi-Supervised and Self-Supervised Learning for Medical Image Classification Z Huang, R Jiang, S Aeron, MC Hughes CVPR 2024, 2023 | 1* | 2023 |
| Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning Z Huang, BS Wessler, MC Hughes Machine Learning for Healthcare Conference, 2023 | 1 | 2023 |
| Affective Color Fields: Reimagining Rothkoesque Artwork as an Interactive Companion for Artistic Self-Expression A Kang, L Wang, Z Zhou, Z Huang, RJK Jacob Proceedings of the 29th ACM International Conference on Multimedia, 1454-1455, 2021 | 1 | 2021 |
| VALIDATION OF SYSTEM FOR AUTOMATED SCREENING FOR AORTIC STENOSIS S Karmiy, Z Huang, E Mai, J Li, M Dehn, D Ramsingh, J Martin, AR Patel, ... Journal of the American College of Cardiology 83 (13_Supplement), 1572-1572, 2024 | | 2024 |
| InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning Z Huang, X Yu, D Zhu, MC Hughes arXiv preprint arXiv:2403.10658, 2024 | | 2024 |
| Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis Z Huang, X Yu, BS Wessler, MC Hughes arXiv preprint arXiv:2403.06024, 2024 | | 2024 |
| Semi-supervised Learning from Uncurated Echocardiogram Images with Fix-A-Step Z Huang, MJ Sidhom, BS Wessler, MC Hughes In Medical Imaging meets NeurIPS Workshop at NeurIPS 2022, 0 | | |
Michael C. HughesAssistant Professor of Computer Science, Tufts UniversityAdresă de e-mail confirmată pe michaelchughes.com
