activity
20182025
most citedHemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at Work

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2025★ 2 cited

Go Figure: Transparency in neuroscience images preserves context and clarifies interpretation

Paul A. Taylor, Himanshu Aggarwal, Peter Bandettini +39

Visualizations are vital for communicating scientific results. Historically, neuroimaging figures have only depicted regions that surpass a given statistical threshold. This practi…

eess.IV2024

TV-based Deep 3D Self Super-Resolution for fMRI

Fernando Pérez-Bueno, Hongwei Bran Li, Matthew S. Rosen +3

While functional Magnetic Resonance Imaging (fMRI) offers valuable insights into cognitive processes, its inherent spatial limitations pose challenges for detailed analysis of the…

q-bio.NC2021★ 6 cited

Hemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at Work

Eneko Uruñuela, Thomas A. W. Bolton, Dimitri Van De Ville +1

Deconvolution of the hemodynamic response is an important step to access short timescales of brain activity recorded by functional magnetic resonance imaging (fMRI). Albeit convent…

q-bio.NC2019

Agito ergo sum: correlates of spatiotemporal motion characteristics during fMRI

Thomas A. W. Bolton, Daniela Zöller, César Caballero-Gaudes +3

The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-ofthe-art guidelines advise to…

q-bio.NC2018

A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology

Juan Eugenio Iglesias, Ricardo Insausti, Garikoitz Lerma-Usabiaga +7

The human thalamus is a brain structure that comprises numerous, highly specific nuclei. Since these nuclei are known to have different functions and to be connected to different a…