Paul M. Arnold

According to our database, Paul M. Arnold authored at least 4 papers between 2022 and 2024.

Collaborative distances:

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

2024

Modeling Clinical Symptoms of Cognitive Decline in Neurodegenerative Disease as Faulty Computing.

Anant Naik, Paul M. Arnold, Lav R. Varshney

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG.

Yurui Cao, Krishnakant V. Saboo, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Suguna Pappu, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging.

Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Scott A. Przybelski, Robert I. Reid, Christopher G. Schwarz, Jonathan Graff-Radford, David S. Knopman, Mary M. Machulda, Michelle M. Mielke, Ronald C. Petersen, Paul M. Arnold, Gregory A. Worrell, David T. Jones, Clifford R. Jack Jr., Ravishankar K. Iyer, Prashanthi Vemuri

NeuroImage, 2022

Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG.

Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022