Tomas M. Bosschieter

13 papers A* 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Latent Causal Modeling for 3D Brain MRI Counterfactuals. DGM4MICCAI@MICCAI Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli, Qingyu Zhao, Ben Glocker, Kilian M. Pohl
2025	J	`jnl`	The Most Important Features in Generalized Additive Models Might Be Groups of Features. CoRR Tomas M. Bosschieter, Luis Franca, Jessica Wolk, Yiyuan Wu, Bella Mehta, Joseph Dehoney, Orsolya Kiss, Fiona C. Baker, Qingyu Zhao, Rich Caruana, Kilian M. Pohl
2024	J	`jnl`	Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes. J. Heal. Informatics Res. Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Ian S. Painter, Vivienne Souter, Rich Caruana
2024	J	`jnl`	Latent 3D Brain MRI Counterfactual. CoRR Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl
2024	J	`jnl`	Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. Medical Image Anal. Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
2023	—	`conf`	Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. MICCAI (8) Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl
2023	J	`jnl`	Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes. CoRR Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Ian S. Painter, Vivienne Souter, Rich Caruana
2023	—	`conf`	Interpretable Survival Analysis for Heart Failure Risk Prediction. ML4H@NeurIPS Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell
2023	J	`jnl`	Interpretable Survival Analysis for Heart Failure Risk Prediction. CoRR Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell
2023	J	`jnl`	Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. CoRR Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
2023	A*	`conf`	The Missing Indicator Method: From Low to High Dimensions. KDD Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
2022	J	`jnl`	The Missing Indicator Method: From Low to High Dimensions. CoRR Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
2022	J	`jnl`	Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes. CoRR Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Kristin Sitcov, Vivienne Souter, Rich Caruana