| Diagnosis and detection of infected tissue of COVID-19 patients based on lung X-ray image using convolutional neural network approaches S Hassantabar, M Ahmadi, A Sharifi Chaos, Solitons & Fractals 140, 110170, 2020 | 262 | 2020 |
| CovidDeep: SARS-CoV-2/COVID-19 test based on wearable medical sensors and efficient neural networks S Hassantabar, N Stefano, V Ghanakota, A Ferrari, GN Nicola, R Bruno, ... IEEE Transactions on Consumer Electronics 67 (4), 244-256, 2021 | 85 | 2021 |
| QAIS-DSNN: tumor area segmentation of MRI image with optimized quantum matched-filter technique and deep spiking neural network M Ahmadi, A Sharifi, S Hassantabar, S Enayati BioMed Research International 2021, 2021 | 59 | 2021 |
| SCANN: Synthesis of compact and accurate neural networks S Hassantabar, Z Wang, NK Jha IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 49 | 2021 |
| STEERAGE: Synthesis of neural networks using architecture search and grow-and-prune methods S Hassantabar, X Dai, NK Jha arXiv preprint arXiv:1912.05831, 2019 | 30 | 2019 |
| Mhdeep: Mental health disorder detection system based on wearable sensors and artificial neural networks S Hassantabar, J Zhang, H Yin, NK Jha ACM Transactions on Embedded Computing Systems 21 (6), 1-22, 2022 | 26 | 2022 |
| Integration of experimental analysis and machine learning to predict drop behavior on superhydrophobic surfaces AA Yancheshme, S Hassantabar, K Maghsoudi, S Keshavarzi, R Jafari, ... Chemical Engineering Journal 417, 127898, 2021 | 25 | 2021 |
| TUTOR: Training neural networks using decision rules as model priors S Hassantabar, P Terway, NK Jha IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 11 | 2022 |
| Coviddeep: Sars-Cov-2/covid-19 Test Based on Wearable Medical Sensors an d Efficient Neural Networks, 2020 S Hassantabar, N Stefano, V Ghanakota, A Ferrari, GN Nicola, R Bruno, ... arXiv preprint arXiv, 2007 | 9 | 2007 |
| CURIOUS: Efficient neural architecture search based on a performance predictor and evolutionary search S Hassantabar, X Dai, NK Jha IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 5 | 2022 |
| CovidDeep: SARS-CoV-2 S Hassantabar, N Stefano, V Ghanakota, A Ferrari, GN Nicola, R Bruno, ... COVID-19 test based on wearable medical sensors and efficient neural …, 2020 | 5 | 2020 |
| CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks. arXiv (Human-Computer Interaction), October 28, 2020, 2007.10497, ver. 3 S Hassantabar, N Stefano, V Ghanakota, A Ferrari, GN Nicola, R Bruno, ... | 5 | |
| Coviddeep: Sars-cov-2/covid-19 test based on wearable medical sensors and efficient neural networks. arXiv 2020 S Hassantabar, N Stefano, V Ghanakota, A Ferrari, GN Nicola, R Bruno, ... arXiv preprint arXiv:2007.10497, 0 | 5 | |
| Visual question answering: Datasets, methods, challenges and oppurtunities S Hassantabar | 3 | 2018 |
| System and method for synthesis of compact and accurate neural networks (scann) S Hassantabar, Z Wang, NK Jha US Patent App. 17/275,949, 2022 | 1 | 2022 |
| System and method for testing for sars-cov-2/covid-19 based on wearable medical sensors and neural networks S Hassantabar, NK Jha US Patent App. 17/923,958, 2023 | | 2023 |
| Évaluation des performances diagnostiques d'infection à SARS-CoV-2 d'un algorithme utilisant l'analyse de signaux physiologiques à partir d'une montre connectée A Bleibtreu, A Laoui, NU Din, K Hamidouche, V Klop, N Jha, ... Médecine et Maladies Infectieuses Formation 1 (2), S53, 2022 | | 2022 |
| Efficient Neural Network Synthesis and Its Application in Smart Healthcare S Hassantabar Princeton University, 2022 | | 2022 |
| 2021 Index IEEE Transactions on Consumer Electronics Vol. 67 M Akinola, M Amayri, P An, HK Arachchi, H Azgin, E Azizi, AK Bapatla, ... IEEE Transactions on Consumer Electronics 67 (4), 2021 | | 2021 |
| SPECIAL SECTION ON MACHINE LEARNING FOR SMART ELECTRONIC SYSTEMS WJ Chang, LB Chen, IC Lin, YK Ou, P Maji, HK Mondal, AP Roy, ... | | |
Niraj JhaProfessor of Electrical and Computer Engineering,Princeton UniversityVerified email at princeton.edu
