Arun Nemani
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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
S Raghunath, AE Ulloa Cerna, L Jing, DP VanMaanen, J Stough, ...
Nature medicine 26 (6), 886-891, 2020
Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation–related stroke
S Raghunath, JM Pfeifer, AE Ulloa-Cerna, A Nemani, T Carbonati, L Jing, ...
Circulation 143 (13), 1287-1298, 2021
Assessing bimanual motor skills with optical neuroimaging
A Nemani, MA Yücel, U Kruger, DW Gee, C Cooper, SD Schwaitzberg, ...
Science advances 4 (10), eaat3807, 2018
Convergent validation and transfer of learning studies of a virtual reality-based pattern cutting simulator
A Nemani, W Ahn, C Cooper, S Schwaitzberg, S De
Surgical endoscopy 32, 1265-1272, 2018
Objective assessment of surgical skill transfer using non-invasive brain imaging
A Nemani, U Kruger, CA Cooper, SD Schwaitzberg, X Intes, S De
Surgical endoscopy 33, 2485-2494, 2019
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
Needs analysis for developing a virtual-reality NOTES simulator
G Sankaranarayanan, K Matthes, A Nemani, W Ahn, M Kato, DB Jones, ...
Surgical endoscopy 27, 1607-1616, 2013
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
Ecg based future atrial fibrillation predictor systems and methods
BK Fornwalt, C Haggerty, S Raghunath, C Good, J Pfeifer, A Ulloa, ...
US Patent App. 17/026,092, 2021
Resonance in the mouse tibia as a predictor of frequencies and locations of loading-induced bone formation
L Zhao, T Dodge, A Nemani, H Yokota
Biomechanics and modeling in mechanobiology 13, 141-151, 2014
Face and content validation of a virtual translumenal endoscopic surgery trainer (VTEST™)
D Dorozhkin, A Nemani, K Roberts, W Ahn, T Halic, S Dargar, J Wang, ...
Surgical endoscopy 30, 5529-5536, 2016
Hierarchical task analysis of hybrid rigid scope Natural Orifice Translumenal Endoscopic Surgery (NOTES) cholecystectomy procedures
A Nemani, G Sankaranarayanan, K Roberts, L Panait, C Cao, S De
Medicine Meets Virtual Reality 20, 293-297, 2013
A comparison of NOTES transvaginal and laparoscopic cholecystectomy procedures based upon task analysis
A Nemani, G Sankaranarayanan, JS Olasky, S Adra, KE Roberts, L Panait, ...
Surgical endoscopy 28, 2443-2451, 2014
DP vanMaanen, DN Hartzel, JA Ruhl, BF Lagerman, et al., Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ecg and help identify those at risk of …
S Raghunath, JM Pfeifer, AE Ulloa-Cerna, A Nemani, T Carbonati, L Jing
Circulation 143 (13), 1287-1298, 2021
Deep Neural Networks can Predict Incident Atrial Fibrillation from the 12-lead Electrocardiogram and may help Prevent Associated Strokes
S Raghunath, JM Pfeifer, AE Ulloa-Cerna, A Nemani, T Carbonati, L Jing, ...
MedRxiv, 2020.04. 23.20067967, 2020
Functional brain connectivity distinguishes surgical skill learning with surgical simulators
A Nemani, S De, X Intes
Optical Tomography and Spectroscopy, JTh3A. 53, 2018
Increased sensitivity in discriminating surgical motor skills using prefrontal cortex activation over established metrics
A Nemani, U Kruger, X Intes, S De
Optical Molecular Probes, Imaging and Drug Delivery, JTu4A. 11, 2017
Yü cel MA, Kruger U, Gee DW, Cooper C, Schwaitzberg SD, et al. Assessing bimanual motor skills with optical neuroimaging. Sci Adv. 2018; 4: eaat3807
A Nemani
Artificial intelligence based cardiac event predictor systems and methods
A Nemani, G Lee, S Steinhubl, A Ulloa-Cerna
US Patent 11,869,668, 2024
Surgical motor skill differentiation via functional near infrared spectroscopy
A Nemani, X Intes, S De
2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC), 1-2, 2015
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