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Mohammed Alawad
Mohammed Alawad
Assistant Professor at Wayne State University
Verified email at wayne.edu - Homepage
Title
Cited by
Cited by
Year
Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation
M Alawad, Y Bai, RF DeMara, M Lin
Proceedings of the 2014 ACM/SIGDA international symposium on Field …, 2014
1292014
Limitations of transformers on clinical text classification
S Gao, M Alawad, MT Young, J Gounley, N Schaefferkoetter, HJ Yoon, ...
IEEE journal of biomedical and health informatics 25 (9), 3596-3607, 2021
1092021
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks
M Alawad, S Gao, JX Qiu, HJ Yoon, J Blair Christian, L Penberthy, ...
Journal of the American Medical Informatics Association 27 (1), 89-98, 2020
832020
Classifying cancer pathology reports with hierarchical self-attention networks
S Gao, JX Qiu, M Alawad, JD Hinkle, N Schaefferkoetter, HJ Yoon, ...
Artificial intelligence in medicine 101, 101726, 2019
472019
LabVIEW FPGA implementation of a PID controller for DC motor speed control
FH Ali, MM Hussein, SMB Ismael
2010 1st International Conference on Energy, Power and Control (EPC-IQ), 139-144, 2010
472010
Privacy-preserving deep learning NLP models for cancer registries
M Alawad, HJ Yoon, S Gao, B Mumphrey, XC Wu, EB Durbin, JC Jeong, ...
IEEE transactions on emerging topics in computing 9 (3), 1219-1230, 2020
392020
Stochastic-based deep convolutional networks with reconfigurable logic fabric
M Alawad, M Lin
IEEE Transactions on multi-scale computing systems 2 (4), 242-256, 2016
342016
Survey of Stochastic-based Computation Paradigms
M Alawad, M Lin
IEEE Transactions on Emerging Topics in Computing, 2016
332016
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports
M Alawad, HJ Yoon, GD Tourassi
2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018
322018
Deep active learning for classifying cancer pathology reports
K De Angeli, S Gao, M Alawad, HJ Yoon, N Schaefferkoetter, XC Wu, ...
BMC bioinformatics 22, 1-25, 2021
282021
Retrofitting word embeddings with the UMLS metathesaurus for clinical information extraction
M Alawad, SMS Hasan, JB Christian, G Tourassi
2018 IEEE International Conference on Big Data (Big Data), 2838-2846, 2018
222018
Fir filter based on stochastic computing with reconfigurable digital fabric
M Alawad, M Lin
2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom …, 2015
192015
Scalable FPGA Accelerator for Deep Convolutional Neural Networks with Stochastic Streaming
M Alawad, M Lin
IEEE Transactions on Multi-Scale Computing Systems 4 (4), 888-899, 2018
182018
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports
HJ Yoon, HB Klasky, JP Gounley, M Alawad, S Gao, EB Durbin, XC Wu, ...
Journal of biomedical informatics 110, 103564, 2020
172020
Energy efficient stochastic-based deep spiking neural networks for sparse datasets
M Alawad, HJ Yoon, G Tourassi
2017 IEEE International Conference on Big Data (Big Data), 311-318, 2017
172017
Using case-level context to classify cancer pathology reports
S Gao, M Alawad, N Schaefferkoetter, L Penberthy, XC Wu, EB Durbin, ...
PLoS One 15 (5), e0232840, 2020
162020
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC
HJ Yoon, J Gounley, S Gao, MM Alawad, A Ramanathan, G Tourassi
2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2019
162019
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports
MM Alawad, S Gao, JX Qiu, NT Schaefferkoetter, J Hinkle, HJ Yoon, ...
2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2019
162019
Memory-Efficient Probabilistic 2-D Finite Impulse Response (FIR) Filter
M Alawad, M Lin
IEEE Transactions on Multi-Scale Computing Systems, 1-1, 2017
152017
Integration of domain knowledge using medical knowledge graph deep learning for cancer phenotyping
M Alawad, S Gao, MC Shekar, SM Hasan, JB Christian, XC Wu, ...
arXiv preprint arXiv:2101.01337, 2021
142021
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