Tomas Bosschieter

PhD student, Stanford University

Joined

August 2022

Names

Tomas Bosschieter (Preferred)

Emails

****@stanford.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Stanford University (stanford.edu)

2021 – Present

Advisors, Relations & Conflicts

Coauthor

2022 – Present

PhD Advisor

2022 – Present

Expertise

Machine Learning

2021 – Present

Interpretability

2021 – Present

Publications

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
Wei Peng, Ehsan Adeli, Tomas Bosschieter, Sang Hyun Park, Qingyu Zhao, Kilian M. Pohl
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
- Readers: Everyone
Interpretable Survival Analysis for Heart Failure Risk Prediction
Tomas Bosschieter, Mike Van Ness, Natasha Din, Andrew Ambrosy, Alexander T Sandhu, Madeleine Udell
- Machine Learning for Health (ML4H)
- Readers: Everyone
Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes
Tomas Bosschieter, Zifei Xu, Hui Lan, Ben Lengerich, Harsha Nori, Kristin Sitcov, Vivienne Souter, Rich Caruana
- 30 Aug 2022 (modified: 24 Jan 2024)
- OpenReview Archive Direct Upload
- Readers: Everyone

Co-Authors