Emily Wittrup

According to our database, Emily Wittrup authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation.

Cristian Minoccheri, Matthew Hodgman, Haoyuan Ma, Rameez Merchant, Emily Wittrup, Craig A. Williamson, Kayvan Najarian

BMC Medical Imaging, December, 2026

Representation geometry shapes task performance in vision-language modeling for CT enterography.

Cristian Minoccheri, Emily Wittrup, Kayvan Najarian, Ryan W. Stidham

CoRR, April, 2026

2025

AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs.

Emily Wittrup, John Reavey-Cantwell, Aditya S. Pandey, Dennis J. Rivet II, Kayvan Najarian

BMC Medical Imaging, December, 2025

EvolveFNN: An Interpretable Framework for Early Detection Using Longitudinal Electronic Health Record Data.

Yufeng Zhang, Emily Wittrup, Matthew Hodgman, Michael Mathis, Kayvan Najarian

IEEE J. Biomed. Health Informatics, July, 2025

AI-Based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey.

Flora Rajaei, Cristian Minoccheri, Emily Wittrup, Richard C. Wilson, Brian D. Athey, Gilbert S. Omenn, Kayvan Najarian

IEEE Trans. Comput. Biol. Bioinform., 2025

Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure.

Feng Gu, Andrew J. Meyer, Filip Jezek, Shuangdi Zhang, Tonimarie Catalan, Alexandria Miller, Noah A. Schenk, Victoria E. Sturgess, Domingo Uceda, Rui Li, Emily Wittrup, Xinwei Hua, Brian E. Carlson, Yi-Da Tang, Farhan Raza, Kayvan Najarian, Scott L. Hummel, Daniel A. Beard

npj Digit. Medicine, 2025

2024

Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data.

Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson, Kayvan Najarian

BMC Medical Informatics Decis. Mak., December, 2024

Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors.

Ali Zare, Emily Wittrup, Kayvan Najarian

Sensors, April, 2024

Identifying selective PDHK inhibitors using coupled tensor matrix completion and experimental validation.

Flora Rajaei, Peter Toogood, Renju Jacob, Mason Baber, Mya Gough, Harm Derksen, Emily Wittrup, Kayvan Najarian

Discov. Artif. Intell., 2024

Learning using privileged information with logistic regression on acute respiratory distress syndrome detection.

Zijun Gao, Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian

Artif. Intell. Medicine, 2024

CoxFNN: Interpretable machine learning method for survival analysis.

Yufeng Zhang, Emily Wittrup, Kayvan Najarian

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart Disease.

Matthew Hodgman, Emily Wittrup, Kayvan Najarian

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Adapting Segment Anything Model for Ulcer Segmentation in Inflammatory Bowel Disease.

Lingrui Cai, Ryan W. Stidham, Emily Wittrup, Kayvan Najarian

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024