Richard A. I. Bethlehem

According to our database, Richard A. I. Bethlehem authored at least 5 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Large Language Models.

Michail Mamalakis, Tiago Azevedo, Cristian Cosentino, Chiara D'Ercoli, Subati Abulikemu, Zhongtian Sun, Richard A. I. Bethlehem, Pietro Lio

CoRR, January, 2026

dGAMLSS: an exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts.

Fengling Hu, Jiayi Tong, Margaret Gardner, Lifespan Brain Chart Consortium, Andrew A. Chen, Richard A. I. Bethlehem, Jakob Seidlitz, Hongzhe Li, Aaron Alexander-Bloch, Yong Chen, Russell T. Shinohara

Bioinform., 2026

2024

Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community.

Jessica Royer, Casey Paquola, Sofie L. Valk, Matthias Kirschner, Seok-Jun Hong, Bo-yong Park, Richard A. I. Bethlehem, Robert Leech, B. T. Thomas Yeo, Elizabeth Jefferies, Jonathan Smallwood, Daniel S. Margulies, Boris C. Bernhardt

Neuroinformatics, October, 2024

2022

A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.

Tiago Azevedo, Alexander Campbell, Rafael Romero-Garcia, Luca Passamonti, Richard A. I. Bethlehem, Pietro Liò, Nicola Toschi

Medical Image Anal., 2022

2020

Dispersion of functional gradients across the adult lifespan.

Richard A. I. Bethlehem, Casey Paquola, Jakob Seidlitz, Lisa Ronan, Boris C. Bernhardt, Cam-CAN Consortium, Kamen A. Tsvetanov

NeuroImage, 2020