| A machine learning approach to predict surgical learning curves Y Gao, U Kruger, X Intes, S Schwaitzberg, S De Surgery 167 (2), 321-327, 2020 | 36 | 2020 |
| Deep learning-based motion artifact removal in functional near-infrared spectroscopy Y Gao, H Chao, L Cavuoto, P Yan, U Kruger, JE Norfleet, BA Makled, ... Neurophotonics 9 (4), 2022 | 27 | 2022 |
| Functional brain imaging reliably predicts bimanual motor skill performance in a standardized surgical task Y Gao, P Yan, U Kruger, L Cavuoto, S Schwaitzberg, S De, X Intes IEEE Transactions on Biomedical Engineering 68 (7), 2058-2066, 2020 | 24 | 2020 |
| Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments A Nemani, A Kamat, Y Gao, M Yucel, D Gee, C Cooper, S Schwaitzberg, ... Neurophotonics 8 (1), 015008-015008, 2021 | 22 | 2021 |
| Decreasing the surgical errors by neurostimulation of primary motor cortex and the associated brain activation via neuroimaging Y Gao, L Cavuoto, A Dutta, U Kruger, P Yan, A Nemani, JE Norfleet, ... Frontiers in neuroscience 15, 651192, 2021 | 21 | 2021 |
| How much do time-domain functional near-infrared spectroscopy (fNIRS) moments improve estimation of brain activity over traditional fNIRS? A Ortega-Martinez, DJ Rogers, J Anderson, P Farzam, Y Gao, ... Neurophotonics 10 (1), 013504-013504, 2023 | 19 | 2023 |
| The effects of transcranial electrical stimulation on human motor functions: a comprehensive review of functional neuroimaging studies Y Gao, L Cavuoto, S Schwaitzberg, JE Norfleet, X Intes, S De Frontiers in Neuroscience 14, 744, 2020 | 19 | 2020 |
| A deep learning approach to remove motion artifacts in fNIRS data analysis Y Gao, L Cavuoto, P Yan, U Kruger, S Schwaitzberg, S De, X Intes Optics and the Brain, BM2C. 7, 2020 | 9 | 2020 |
| Prenatal and childhood exposure to organophosphate pesticides and functional brain imaging in young adults SK Sagiv, JM Baker, S Rauch, Y Gao, RB Gunier, AM Mora, K Kogut, ... Environmental research 242, 117756, 2024 | 7 | 2024 |
| Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy Y Gao, DJ Rogers, A von Lühmann, A Ortega-Martinez, DA Boas, ... Neurophotonics 10 (2), 025007-025007, 2023 | 6 | 2023 |
| Childhood exposure to organophosphate pesticides: Functional connectivity and working memory in adolescents Y Gao, R Li, Q Ma, JM Baker, S Rauch, RB Gunier, AM Mora, K Kogut, ... NeuroToxicology 103, 206-214, 2024 | 2 | 2024 |
| Quantifying the Impact of Hair and Skin Characteristics on Signal Quality with Practical Recommendations for Improvement MA Yücel, JE Anderson, P Hajirahimi, P Farzam, Y Gao, RI Kaplan, ... bioRxiv, 2024 | 1 | 2024 |
| Inclusivity in fNIRS Studies: Quantifying the Impact of Hair and Skin Characteristics on Signal Quality with Practical Recommendations for Improvement MA Yücel, JE Anderson, DJ Rogers, P Hajirahimi, P Farzam, Y Gao, ... bioRxiv, 2024.10. 28.620644, 2024 | 1 | 2024 |
| Longitudinal Changes in Functional Neural Activation and Sensitization During Face Processing in Fragile X Syndrome Y Gao, R Li, Q Ma, KL Bartholomay, AA Lightbody, AL Reiss Biological Psychiatry, 2024 | 1 | 2024 |
| Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND) A Kamat, C Eastmond, Y Gao, A Nemani, E Yanik, L Cavuoto, M Hackett, ... Scientific Data 10 (1), 699, 2023 | 1 | 2023 |
| Observability of Visual Working Memory Brain Circuitry With Functional Near-Infrared Spectroscopy D Beeler, Y Gao, V Tripathi, A Cronin-Golomb, T Ellis, S Kiran, ... Journal of Vision 23 (9), 5841-5841, 2023 | 1 | 2023 |
| Improving Surgical Motor Skill Assessment and Acquisition Via Neuromodulation, Neuroimaging, and Machine Learning Y Gao Rensselaer Polytechnic Institute, 2020 | 1 | 2020 |
| Transcranial direct current stimulation speeds up surgical bimanual motor learning and increases functional activation Y Gao, L Cavuoto, P Yan, U Kruger, J Silvestri, S Schwaitzberg, ... Military Health System Research Symposium, 2020 | 1 | 2020 |
| FNIRS as a quantitative tool to asses and predict surgical skills Y Gao, P Yan, S De, X Intes Proc. Opt. Brain, BW4A-2, 2019 | 1 | 2019 |
| Disentangling the impact of motion artifact correction algorithms on functional near-infrared spectroscopy–based brain network analysis S Guan, Y Li, Y Luo, H Niu, Y Gao, D Yang, R Li Neurophotonics 11 (4), 045006-045006, 2024 | | 2024 |
Suvranu DeGoogle Endowed Dean of Engineering, Florida A&M University-Florida State UniversityВерификована је имејл адреса на eng.famu.fsu.edu