| A flexible multichannel EEG feature extractor and classifier for seizure detection A Page, C Sagedy, E Smith, N Attaran, T Oates, T Mohsenin IEEE Transactions on Circuits and Systems II: Express Briefs 62 (2), 109-113, 2014 | 115 | 2014 |
| Deep belief networks used on high resolution multichannel electroencephalography data for seizure detection JT Turner, A Page, T Mohsenin, T Oates 2014 aaai spring symposium series, 2014 | 112 | 2014 |
| Utilizing deep neural nets for an embedded ECG-based biometric authentication system A Page, A Kulkarni, T Mohsenin 2015 IEEE biomedical circuits and systems conference (BioCAS), 1-4, 2015 | 109 | 2015 |
| Wearable seizure detection using convolutional neural networks with transfer learning A Page, C Shea, T Mohsenin 2016 IEEE international symposium on circuits and systems (ISCAS), 1086-1089, 2016 | 85 | 2016 |
| Sparcnet: A hardware accelerator for efficient deployment of sparse convolutional networks A Page, A Jafari, C Shea, T Mohsenin ACM Journal on Emerging Technologies in Computing Systems (JETC) 13 (3), 1-32, 2017 | 54 | 2017 |
| Comparing raw data and feature extraction for seizure detection with deep learning methods A Page, JT Turner, T Mohsenin, T Oates The twenty-seventh international flairs conference, 2014 | 41 | 2014 |
| A low power seizure detection processor based on direct use of compressively-sensed data and employing a deterministic random matrix A Jafari, A Page, C Sagedy, E Smith, T Mohsenin 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015 | 33 | 2015 |
| An energy-efficient programmable manycore accelerator for personalized biomedical applications A Kulkarni, A Page, N Attaran, A Jafari, M Malik, H Homayoun, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (1), 96-109, 2017 | 29 | 2017 |
| Eco-friendly management of chilli anthracnose (Colletotrichum capsici). MM Rashid, MH Kabir, MM Hossain, MR Bhuiyan, MAI Khan International Journal of Plant Pathology 6 (1), 1-11, 2015 | 28 | 2015 |
| Low-power manycore accelerator for personalized biomedical applications A Page, N Attaran, C Shea, H Homayoun, T Mohsenin Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 63-68, 2016 | 24 | 2016 |
| An ultra low power feature extraction and classification system for wearable seizure detection A Page, SPT Oates, T Mohsenin 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 23 | 2015 |
| Detecting epileptic seizures from EEG data using neural networks S Pramod, A Page, T Mohsenin, T Oates arXiv preprint arXiv:1412.6502, 2014 | 23 | 2014 |
| SCALENet: a scalable low power accelerator for real-time embedded deep neural networks C Shea, A Page, T Mohsenin Proceedings of the 2018 on Great Lakes Symposium on VLSI, 129-134, 2018 | 19 | 2018 |
| Fpga-based reduction techniques for efficient deep neural network deployment A Page, T Mohsenin 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom …, 2016 | 11 | 2016 |
| An efficient & reconfigurable FPGA and ASIC implementation of a spectral Doppler ultrasound imaging system A Page, T Mohsenin 2013 IEEE 24th international conference on application-specific systems …, 2013 | 10 | 2013 |
| Deep belief networks used on high resolution multichannel electroencephalography data for seizure detection AAAI Spring Symp JT Turner, A Page, T Mohsenin, T Oates Series, 2014 | 9 | 2014 |
| Live demonstration: Towards an ultra low power on-board processor for Tongue Drive System A Jafari, N Buswell, A Page, T Mohsenin, MN Sahadat, M Ghovanloo 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-1, 2015 | 3 | 2015 |
| Deploying deep neural networks in embedded real-time systems A Page | 1 | 2016 |
| Multichannel EEG Compressive Sampling, Feature Extraction and Classification for Seizure Detection A Jafari, A Page, T Oates, T Mohsenin UMBC Student Collection, 0 | | |
| An Energy Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications A Page, A Kulkarni, N Attaran, A Jafari, M Malik, H Homayoun, ... | | |
Tim OatesProfessor of Computer Science, University of Maryland Baltimore CountyVerified email at umbc.edu
