Michael W. Sjoding

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Privileged Information

Machine Learning

Robust Segmentation

Top Venues

IEEE J. Biomed. Health Informatics

J. Am. Medical Informatics Assoc.

Publications

Sarah Jabbour, Gregory Kondas, Ella Kazerooni, Michael W. Sjoding, David Fouhey, Jenna Wiens
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks. CoRR (2024)
Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. CoRR (2023)
Negar Farzaneh, Sardar Ansari, Elizabeth Lee, Kevin R. Ward, Michael W. Sjoding
Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome. npj Digit. Medicine 6 (2023)
Trenton Chang, Michael W. Sjoding, Jenna Wiens
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning. CoRR (2022)
Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W. Sjoding
Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure. J. Am. Medical Informatics Assoc. 29 (6) (2022)
Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. NeurIPS (2022)
Trenton Chang, Michael W. Sjoding, Jenna Wiens
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning. MLHC (2022)
Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens
Learning Concept Credible Models for Mitigating Shortcuts. NeurIPS (2022)
Narathip Reamaroon, Michael W. Sjoding, Jonathan Gryak, Brian D. Athey, Kayvan Najarian, Harm Derksen
Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. Comput. Biol. Medicine 134 (2021)
Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W. Sjoding
Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure. CoRR (2021)
Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. ICML (2020)
Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts. MLHC (2020)
Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, Michael W. Sjoding, Jenna Wiens
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts. CoRR (2020)
Narathip Reamaroon, Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro, Brian D. Athey, Kayvan Najarian
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. BMC Medical Imaging 20 (1) (2020)
Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. CoRR (2020)
Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Jonathan Gryak, Michael W. Sjoding, Kayvan Najarian
Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information. EMBC (2019)
Narathip Reamaroon, Michael W. Sjoding, Kaiwen Lin, Theodore J. Iwashyna, Kayvan Najarian
Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. MLHC (2019)
Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. CoRR (2019)