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Mohsen Nabian
Mohsen Nabian
Harvard University, Broad Institute of MIT and Harvard, Brigham and Women's Hospital
Verified email at bwh.harvard.edu
Title
Cited by
Cited by
Year
Combined analysis of metabolomes, proteomes, and transcriptomes of hepatitis C virus–infected cells and liver to identify pathways associated with disease development
J Lupberger, T Croonenborghs, AAR Suarez, N Van Renne, F Jühling, ...
Gastroenterology 157 (2), 537-551. e9, 2019
832019
An open-source feature extraction tool for the analysis of peripheral physiological data
M Nabian, Y Yin, J Wormwood, KS Quigley, LF Barrett, S Ostadabbas
IEEE journal of translational engineering in health and medicine 6, 1-11, 2018
602018
A comparative study on machine learning classification models for activity recognition
M Nabian
Journal of Information Technology & Software Engineering 7 (04), 4-8, 2017
272017
Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat
A Khalaf, M Nabian, M Fan, Y Yin, J Wormwood, E Siegel, KS Quigley, ...
Expert Systems with Applications 140, 112890, 2020
24*2020
Position versus force control: using the 2-DOF robotic ankle trainer to assess ankle's motor control
AB Farjadian, M Nabian, A Hartman, J Corsino, C Mavroidis, MK Holden
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
152014
A biosignal-specific processing tool for machine learning and pattern recognition
M Nabian, A Nouhi, Y Yin, S Ostadabbas
2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT), 76-80, 2017
132017
Implementation of a task-dependent anisotropic impedance controller into a 2-DOF platform-based ankle rehabilitation robot
AB Farjadian, M Nabian, C Mavroidis, MK Holden
2015 IEEE International Conference on Robotics and Automation (ICRA), 5590-5595, 2015
132015
An examination of muscle force control in individuals with a functionally unstable ankle
SC Yen, KK Chui, YC Wang, MB Corkery, M Nabian, AB Farjadian
Human movement science 64, 221-229, 2019
122019
Vi-RABT: A platform-based robot for ankle and balance assessment and training
AB Farjadian, M Nabian, A Hartman, SC Yen
Journal of Medical and Biological Engineering 38 (4), 556-572, 2018
122018
An examination of lower limb asymmetry in ankle isometric force control
SC Yen, LC Olsavsky, CM Cloonan, AR Llanos, KJ Dwyer, M Nabian, ...
Human movement science 57, 40-49, 2018
122018
Facial expression and peripheral physiology fusion to decode individualized affective experience
Y Yin, M Nabian, S Ostadabbas
Workshop on Artificial Intelligence in Affective Computing, 10-26, 2020
92020
Development of 2-DOF ankle rehabilitation system
AB Farjadian, M Nabian, MK Holden, C Mavroidis
2014 40th Annual Northeast Bioengineering Conference (NEBEC), 1-2, 2014
92014
Imaging-AMARETTO: an imaging genomics software tool to interrogate multiomics networks for relevance to radiography and histopathology imaging biomarkers of clinical outcomes
O Gevaert, M Nabian, S Bakr, C Everaert, J Shinde, A Manukyan, ...
JCO clinical cancer informatics 4, 421-435, 2020
82020
First-person indoor navigation via vision-inertial data fusion
A Farnoosh, M Nabian, P Closas, S Ostadabbas
2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 1213-1222, 2018
72018
Multi-objective optimization of functionally graded hollow cylinders
M Nabian, MT Ahmadian
ASME International Mechanical Engineering Congress and Exposition 54945, 583-590, 2011
62011
Visuomotor control of ankle joint using position vs. force
AB Farjadian, M Nabian, A Hartman, SC Yen, B Nasseroleslami
European Journal of Neuroscience 50 (8), 3235-3250, 2019
52019
The effects of longitudinal and circumferential cracks on the torsional dynamic response of shafts
M Nabian, A Vaziri, M Olia, H Nayeb-Hashemi
ASME International Mechanical Engineering Congress and Exposition 56253 …, 2013
52013
Quasi-static pulmonary P–V curves of patients with ARDS, Part I: Characterization
M Nabian, U Narusawa
Respiratory physiology & neurobiology 248, 36-42, 2018
42018
Quantification of Alveolar Recruitment for the Optimization of Mechanical Ventilation Using Quasi-Static Pressure Volume Curve
M Nabian, U Narusawa
arXiv preprint arXiv:1808.04860, 2018
12018
Pulmonary Pressure-Volume Data of Patients with ARDS, I) Pattern Recognition, II) Personalization and Optimization of Mechanical Ventilation
M Nabian
Northeastern University, 2018
12018
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Articles 1–20