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Mahsa Shoaran
Mahsa Shoaran
Tenure-Track Assistant Professor, EPFL, Switzerland
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Energy-Efficient Classification for Resource-Constrained Biomedical Applications
M Shoaran, BA Haghi, M Taghavi, M Farivar, A Emami
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2018
1172018
Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition
M Shoaran, MH Kamal, C Pollo, P Vandergheynst, A Schmid
IEEE Transactions on Biomedical Circuits and Systems 8 (6), 857-870, 2014
1062014
Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering
L Yao, P Brown, M Shoaran
Clinical Neurophysiology 131 (1), 274-284, 2020
592020
Migraine classification using somatosensory evoked potentials
B Zhu, G Coppola, M Shoaran
Cephalalgia, 2019
492019
Resting tremor detection in Parkinson's disease with machine learning and Kalman filtering
L Yao, P Brown, M Shoaran
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
482018
A 16-Channel 1.1 mm2 Implantable Seizure Control SoC with Sub-μW/Channel Consumption and Closed-Loop Stimulation in 0.18 μm CMOS
M Shoaran, M Shahshahani, M Farivar, J Almajano, A Shahshahani, ...
2016 Symposium on VLSI Circuits, 2016
442016
XTab: Cross-table Pretraining for Tabular Transformers
B Zhu, X Shi, N Erickson, M Li, G Karypis, M Shoaran
International Conference on Machine Learning, 43181-43204, 2023
412023
NeuralTree: A 256-channel 0.227-μJ/class versatile neural activity classification and closed-loop neuromodulation SoC
U Shin, C Ding, B Zhu, Y Vyza, A Trouillet, ECM Revol, SP Lacour, ...
IEEE Journal of Solid-State Circuits 57 (11), 3243-3257, 2022
402022
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification
B Zhu, M Farivar, M Shoaran
IEEE Transactions on Biomedical Circuits and Systems 14 (4), 692-704, 2020
392020
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification
B Zhu, M Farivar, M Shoaran
arXiv preprint arXiv:2006.07900, 2020
392020
Neural variability quenching during decision-making: neural individuality and its prestimulus complexity
A Wolff, L Yao, J Gomez-Pilar, M Shoaran, N Jiang, G Northoff
NeuroImage 192, 1-14, 2019
372019
Hardware complexity analysis of deep neural networks and decision tree ensembles for real-time neural data classification
M Taghavi, M Shoaran
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 407-410, 2019
372019
Closed-loop neural prostheses with on-chip intelligence: A review and a low-latency machine learning model for brain state detection
B Zhu, U Shin, M Shoaran
IEEE transactions on biomedical circuits and systems 15 (5), 877-897, 2021
352021
Tunnel FET-based ultra-low power, low-noise amplifier design for bio-signal acquisition
H Liu, M Shoaran, X Li, S Datta, A Schmid, V Narayanan
Proceedings of the 2014 international symposium on Low power electronics and …, 2014
342014
Compressive multichannel cortical signal recording
MH Kamal, M Shoaran, Y Leblebici, A Schmid, P Vandergheynst
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
322013
A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection
M Shoaran, C Pollo, K Schindler, A Schmid
IEEE Transactions on Circuits and Systems II: Express Briefs 62 (2), 114-118, 2015
312015
Neural interface systems with on-device computing: machine learning and neuromorphic architectures
J Yoo, M Shoaran
Current opinion in biotechnology 72, 95-101, 2021
292021
Low power nanoelectronics
H Liu, R Vaddi, V Narayanan, S Datta, MS Kim, X Li, A Schmid, ...
US Patent 9,800,094, 2017
242017
A 256-Channel 0.227µJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm2-1.51 µW/channel Fast-Settling Highly …
U Shin, L Somappa, C Ding, Y Vyza, B Zhu, A Trouillet, SP Lacour, ...
2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 338-340, 2022
232022
Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data
M Shoaran, MH KAMAL, A Schmid
US Patent App. 14/668,313, 2016
212016
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