Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model W Peng, E Adeli, T Bosschieter, SH Park, Q Zhao, KM Pohl International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 25* | 2023 |
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes TM Bosschieter, Z Xu, H Lan, BJ Lengerich, H Nori, I Painter, V Souter, ... Journal of Healthcare Informatics Research 8 (1), 65-87, 2024 | 8* | 2024 |
The missing indicator method: From low to high dimensions M Van Ness, TM Bosschieter, R Halpin-Gregorio, M Udell Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
Understanding risk factors for shoulder dystocia using interpretable machine learning H Lan, TM Bosschieter, Z Xu, B Lengerich, H Nori, K Sitcov, I Painter, ... American Journal of Obstetrics & Gynecology 228 (1), S753, 2023 | 2 | 2023 |
Interpretable survival analysis for heart failure risk prediction M Van Ness, T Bosschieter, N Din, A Ambrosy, A Sandhu, M Udell Machine Learning for Health (ML4H), 574-593, 2023 | 1 | 2023 |
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs W Peng, T Bosschieter, J Ouyang, R Paul, E Adeli, Q Zhao, KM Pohl arXiv preprint arXiv:2310.04630, 2023 | 1 | 2023 |
Unique insights into risk factors for antepartum stillbirth using explainable AI TM Bosschieter, H Lan, Z Xu, B Lengerich, H Nori, K Sitcov, I Painter, ... American Journal of Obstetrics & Gynecology 228 (1), S403-S404, 2023 | 1 | 2023 |
Predicting severe maternal morbidity at admission for delivery using intelligible machine learning Z Xu, TM Bosschieter, H Lan, B Lengerich, H Nori, K Sitcov, I Painter, ... American Journal of Obstetrics & Gynecology 228 (1), S404-S405, 2023 | 1 | 2023 |
Preterm preeclampsia prediction using intelligible machine learning TM Bosschieter, Z Xu, H Lan, B Lengerich, H Nori, K Sitcov, I Painter, ... American Journal of Obstetrics & Gynecology 228 (1), S409, 2023 | 1 | 2023 |