Yuanyuan Gao

Functional Brain Imaging Reliably Predicts Bimanual Motor Skill Performance in a Standardized Surgical Task

Pingkun Yan, Xavier Intes, Lora Cavuoto, 2020, IEEE Transactions on Biomedical Engineering.

Deep learning-based motion artifact removal in functional near-infrared spectroscopy

X. Intes, Hanqing Chao, L. Cavuoto, 2022, Neurophotonics.

fNIRS as a Quantitative tool to Asses and Predict Surgical Skills

S. De, X. Intes, Pingkun Yan, 2019, Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP).

A machine learning approach to predict surgical learning curves.

S. De, X. Intes, S. Schwaitzberg, 2019, Surgery.

The Effects of Transcranial Electrical Stimulation on Human Motor Functions: A Comprehensive Review of Functional Neuroimaging Studies

S. De, X. Intes, S. Schwaitzberg, 2020, Frontiers in Neuroscience.

Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via Neuroimaging

S. De, Anirban Dutta, X. Intes, 2020, Frontiers in Neuroscience.

Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments

Suvranu De, Xavier Intes, Denise Gee, 2021, Neurophotonics.

Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND)

L. Cavuoto, Jack Norfleet, S. De, 2023, Scientific data.