Megan Coffee

According to our database, Megan Coffee authored at least 13 papers between 2015 and 2026.

Collaborative distances:

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

2026

Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores.

Ralf Beuthan, Megan Coffee, Heejin Kim, Na Yeon Kim, Pedro Kringen, Elisabeth Hildt, Haekyung Lee, Seunggeun Lee, Emilie Wiinblad Mathez, Sira Maliphol, Vadim Pak, Yuna Park, Stephan Sonnenberg, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari

CoRR, April, 2026

The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning.

Wenqian Ye, Luyang Jiang, Eric Xie, Guangtao Zheng, Yunsheng Ma, Xu Cao, Dongliang Guo, Daiqing Qi, Zeyu He, Yijun Tian, Christopher W. Porter, Megan Coffee, Zhe Zeng, Sheng Li, Ziran Wang, Ting-Hao 'Kenneth' Huang, James Matthew Rehg, Henry A. Kautz, Aidong Zhang

Trans. Mach. Learn. Res., 2026

MorphXAI: An Explainable Framework for Morphological Analysis of Parasites in Blood Smear Images.

Aqsa Yousaf, Sint Sint Win, Megan Coffee, Habeeb Olufowobi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium.

Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour

CoRR, February, 2025

2024

MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection.

Xu Cao, Wenqian Ye, Kenny Moise, Megan Coffee

Proceedings of the Machine Learning for Health, 2024

2023

Lessons Learned from Assessing Trustworthy AI in Practice.

Dennis Vetter, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Magnus Westerlund, Renee Wurth, Roberto V. Zicari

Digit. Soc., December, 2023

Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis.

Xu Cao, Wenqian Ye, Elena Sizikova, Xue Bai, Megan Coffee, Hongwu Zeng, Jianguo Cao

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Automatic Infectious Disease Classification Analysis with Concept Discovery.

Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell

CoRR, 2022

Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction.

Elena Sizikova, Xu Cao, Ashia Lewis, Kenny Moise, Megan Coffee

CoRR, 2022

How to Assess Trustworthy AI in Practice.

Roberto V. Zicari, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Eleanore Hickman, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth

CoRR, 2022

2021

COVID-19 early-alert signals using human behavior alternative data.

Anasse Bari, Aashish Khubchandani, Junzhang Wang, Matthias Heymann, Megan Coffee

Soc. Netw. Anal. Min., 2021

Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images.

Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2015

Finding small molecules for the 'next Ebola'.

Sean Ekins, Christopher Southan, Megan Coffee

F1000Research, 2015