M. Alawad

发表

King Abdullah International Medical Research Center (KAIMRC)’s big ocular images data set

Abdulrhman Aljouie, A. Almazroa, M. Alawad, 2022, Medical Imaging.

Privacy-Preserving Deep Learning NLP Models for Cancer Registries

Hong-Jun Yoon, Lynne Penberthy, Xiao-Cheng Wu, 2020, IEEE Transactions on Emerging Topics in Computing.

ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis

M. Rashid, Yahya Bokhari, Abdulrhman Aljouie, 2022, Cells.

5G Enabled Energy Innovation: Advanced Wireless Networks for Science, Workshop Report

Robert Kozma, Franck Cappello, Prasanna Balaprakash, 2020 .

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

Jiann-Shiun Yuan, M. Hammood, M. Alawad, 2022, Comput..

Deep active learning for classifying cancer pathology reports

Kevin De Angeli, G. Tourassi, J. Doherty, 2020, BMC Bioinformatics.

Peripapillary atrophy classification using CNN deep learning for glaucoma screening

Tariq M. Aldebasi, Wadood Abdul, Abdulrhman Aljouie, 2022, PloS one.

Molecular Dynamics Simulations to Decipher the Role of Phosphorylation of SARS-CoV-2 Nonstructural Proteins (nsps) in Viral Replication

M. S. Jafri, M. Rashid, Sabeena Mustafa, 2022, Viruses.

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports

Hilda B. Klasky, Mohammed Alawad, Hong-Jun Yoon, 2020, J. Biomed. Informatics.

Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation – A Review

Abdulrhman Aljouie, M. Alghamdi, A. Almazroa, 2022, Clinical ophthalmology.

Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning

M. Rashid, Yahya Bokhari, Abdulrhman Aljouie, 2021, Journal of multidisciplinary healthcare.

Classifying cancer pathology reports with hierarchical self-attention networks

Shang Gao, John X. Qiu, Mohammed Alawad, 2019, Artif. Intell. Medicine.

Practice patterns and outcomes after stroke across countries at different economic levels (INTERSTROKE): an international observational study

K. L. Bansal, J. J. Huang, Michael A. Rodriguez, 2018, The Lancet.

Limitations of Transformers on Clinical Text Classification

Noah Schaefferkoetter, Linda Coyle, Eric B. Durbin, 2021, IEEE Journal of Biomedical and Health Informatics.

Energy efficient stochastic-based deep spiking neural networks for sparse datasets

Hong-Jun Yoon, Mohammed Alawad, Georgia D. Tourassi, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping pdf

Shang Gao, Lynne Penberthy, Xiao-Cheng Wu, 2021, ArXiv.

Using case-level context to classify cancer pathology reports

Mohammed Alawad, Noah Schaefferkoetter, Linda Coyle, 2020, PloS one.

Towards Adversarial Attacks for Clinical Document Classification

M. Alawad, Qutaiba Alasad, Nina Fatehi, 2022, Electronics.

Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC

Hong-Jun Yoon, Mohammed Alawad, Arvind Ramanathan, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction

Mohammed Alawad, Georgia D. Tourassi, S. M. Shamimul Hasan, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Semi-Supervised Information Extraction for Cancer Pathology Reports

Hong-Jun Yoon, John X. Qiu, Mohammed Alawad, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing

Mohammed Alawad, Georgia Tourassi, G. Tourassi, 2019, 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks

John X. Qiu, Mohammed Alawad, Hong-Jun Yoon, 2019, J. Am. Medical Informatics Assoc..

Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports

Hong-Jun Yoon, Mohammed Alawad, Georgia D. Tourassi, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Scalable FPGA Accelerator for Deep Convolutional Neural Networks with Stochastic Streaming

Mohammed Alawad, mingjie lin, Mingjie Lin, 2018, IEEE Transactions on Multi-Scale Computing Systems.

FPGA Hardware Implementation of Smart Home Autonomous System Based on Deep Learning

William H. Allen, Basman M. Hasan Alhafidh, Amar I. Daood, 2018, ICIOT.

Practice patterns and outcomes after stroke across countries at different economic levels (INTERSTROKE): an international observational study.

K. L. Bansal, J. J. Huang, Michael A. Rodriguez, 2018, Lancet.

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution

Mohammed Alawad, Linda Coyle, Eric B. Durbin, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Inter – intra observer variability using deep learning and traditional image processing for breast cancer

Wadood Abdul, Mohammed Fahim, A. Almazroa, 2020, 2020 13th International Conference on Developments in eSystems Engineering (DeSE).