Emma J. Gleave

According to our database, Emma J. Gleave authored at least 3 papers between 2024 and 2025.

Collaborative distances:

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

2025

Predicting Longitudinal Cognitive Decline via Multimodal Deep Learning Fusing Brain MRI and Clinical Data.

Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H. Ankarath, Christopher Patterson, Emma J. Gleave, Sophia I. Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M. Thompson

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data.

Tamoghna Chattopadhyay, Rudransh Kush, Pavithra Senthilkumar, Christopher Patterson, Conor Owens-Walton, Emma J. Gleave, Sophia I. Thomopoulos, Sterling C. Johnson, Elizabeth C. Mormino, Timothy J. Hohman, Paul M. Thompson

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

2024

Comparison of Explainable AI Models for MRI-Based Alzheimer's Disease Classification.

Tamoghna Chattopadhyay, Neha Ann Joshy, Chirag Jagad, Emma J. Gleave, Sophia I. Thomopoulos, Yixue Feng, Julio E. Villalon-Reina, Emily Laltoo, Himanshu Joshi, Ganesan Venkatasubramanian, John P. John, Greg Ver Steeg, José Luis Ambite, Paul M. Thompson

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024