Brighton Nuwagira

According to our database, Brighton Nuwagira authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

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

Topological Machine Learning for Low Data Medical Imaging.

Brighton Nuwagira, Caner Korkmaz, Philmore Koung, Baris Coskunuzer

Proceedings of the Machine Learning for Health, 2024

TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis.

Saba Fatema, Brighton Nuwagira, Sayoni Chakraborty, Reyhan Gedik, Baris Coskunuzer

Proceedings of the Topology- and Graph-Informed Imaging Informatics, 2024

2023

Topo-CXR: Chest X-ray TB and Pneumonia Screening with Topological Machine Learning.

Faisal Ahmed, Brighton Nuwagira, Furkan Torlak, Baris Coskunuzer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023