Kevin Ward

发表

Skin lesion segmentation in clinical images using deep learning

Mohammad H. Jafari, Ebrahim Nasr-Esfahani, S. Mohamad R. Soroushmehr, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Adaptive set-membership normalized least mean squares: An adaptive filter for the systems with bounded noise

K. Najarian, Kevin Ward, Sardar Ansari, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes

K. Najarian, M. Kurz, Kevin Ward, 2016, PloS one.

Non-invasive vascular resistance monitoring with a piezoelectric sensor and photoplethysmogram

K. Najarian, K. Oldham, Kevin Ward, 2017 .

Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images

Kayvan Najarian, Kevin Ward, Charles Cockrell, 2009, BMC Medical Informatics Decis. Mak..

A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided

S. M. Reza Soroushmehr, H. Sair, K. Najarian, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An interpretable neural network for outcome prediction in traumatic brain injury

C. Williamson, K. Najarian, J. Gryak, 2022, BMC Medical Informatics and Decision Making.

Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data

Renaid B. Kim, Aaron M Williams, M. Mathis, 2022, Anesthesiology.

Motion Artifact Suppression in Impedance Pneumography Signal for Portable Monitoring of Respiration: An Adaptive Approach

Kayvan Najarian, Kevin Ward, Sardar Ansari, 2017, IEEE Journal of Biomedical and Health Informatics.

Vessel extraction in X-ray angiograms using deep learning

Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Signal Processing Approach for Detection of Hemodynamic Instability before Decompensation

Kayvan Najarian, Ashwin Belle, Harm Derksen, 2016, PloS one.

Demonstrating the Consequences of Learning Missingness Patterns in Early Warning Systems for Preventative Health Care: A Novel Simulation and Solution

S. Ansari, C. E. Gillies, D. F. Taylor, 2020, medRxiv.

CT image segmentation in traumatic brain injury

S. Mohamad R. Soroushmehr, Kayvan Najarian, Kevin Ward, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A unified signal processing and machine learning method for detection of abnormal heart beats using Electrocardiogram

Soo-Yeon Ji, Abed Al Raoof Bsoul, K Ward, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Finding an Optimal Model for Prediction of Shock Outcomes through Machine Learning

Kayvan Najarian, Rosalyn Hobson Hargraves, Sharad Shandilya, 2013 .

Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning

Kayvan Najarian, Kevin Ward, Sharad Shandilya, 2012, BMC Medical Informatics and Decision Making.

Heart rate variability analysis during central hypovolemia using wavelet transformation

Kayvan Najarian, Ashwin Belle, Soo-Yeon Ji, 2013, Journal of Clinical Monitoring and Computing.

Melanoma detection by analysis of clinical images using convolutional neural network

Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic detection of melanoma using broad extraction of features from digital images

Mohammad H. Jafari, Nader Karimi, S. Mohamad R. Soroushmehr, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Real-time removal of random value impulse noise in medical images

Nader Karimi, S. Mohamad R. Soroushmehr, Shadrokh Samavi, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Blood loss severity prediction using game theoretic based feature selection

Abolfazl Razi, Fatemeh Afghah, Kayvan Najarian, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients

S. Mohamad R. Soroushmehr, Kayvan Najarian, Cheng Jiang, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation

Kayvan Najarian, Kevin Ward, Charles Cockrell, 2013, Int. J. Data Min. Bioinform..

Intracranial pressure level prediction in traumatic brain injury by extracting features from multiple sources and using machine learning methods

Kayvan Najarian, Kevin Ward, Charles Cockrell, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Texture Analysis of Brain CT Scans for ICP Prediction

Rebecca Smith, Kayvan Najarian, Kevin Ward, 2010, ICISP.

Vessel segmentation and catheter detection in X-ray angiograms using superpixels

S. Shirani, B. Nallamothu, K. Najarian, 2017, Medical & Biological Engineering & Computing.

An automated method for analysis of microcirculation videos for accurate assessment of tissue perfusion

Kayvan Najarian, Kevin Ward, Rosalyn Hobson Hargraves, 2012, BMC Medical Imaging.

Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia

Kayvan Najarian, Kevin Ward, Soo-Yeon Ji, 2009, BMC Medical Informatics Decis. Mak..

A time-series approach for shock outcome prediction using machine learning

K. Najarian, Kevin Ward, S. Shandilya, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours

Delaram Kahrobaei, S. Mohamad R. Soroushmehr, Kayvan Najarian, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic segmentation of multimodal brain tumor images based on classification of super-voxels

Nader Karimi, S. Mohamad R. Soroushmehr, Shadrokh Samavi, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated Optic Nerve Sheath Diameter Measurement Using Super-pixel Analysis

S. Mohamad R. Soroushmehr, Kayvan Najarian, Kevin Ward, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Combining predictive capabilities of transcranial doppler with electrocardiogram to predict hemorrhagic shock

Soo-Yeon Ji, K. Najarian, K. Ward, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Processing of Transcranial Doppler for assessment of blood volume loss

Rebecca Smith, Kayvan Najarian, Kevin Ward, 2009, 2009 IEEE International Conference on Information Reuse & Integration.

Actual Midline Estimation from Brain CT Scan Using Multiple Regions Shape Matching

Kayvan Najarian, Kevin Ward, Wenan Chen, 2010, 2010 20th International Conference on Pattern Recognition.

Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching

Rebecca Smith, Kayvan Najarian, Kevin Ward, 2009, BMC Medical Informatics Decis. Mak..

Transcranial Color-Coded Sonography With Angle Correction As a Screening Tool for Raised Intracranial Pressure

C. Williamson, V. Rajajee, K. Najarian, 2023, Critical care explorations.

A hybrid approach for hemorrhage segmentation in pelvic CT scans

Yang Tang, Kayvan Najarian, Jie Wu, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Traumatic Pelvic Injury Outcome Prediction by Extracting Features from Relevant Medical Records and X-Ray Images

Rebecca Smith, Kayvan Najarian, Kevin Ward, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided

S. Mohamad R. Soroushmehr, Kayvan Najarian, Kevin Ward, 2016, EMBC.

Reduction of periodic motion artifacts from impedance plethysmography

Kayvan Najarian, Kevin Ward, Rosalyn S. Hobson, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Automated midline shift and intracranial pressure estimation based on brain CT images.

Kayvan Najarian, Charles Cockrell, Ashwin Belle, 2013, Journal of visualized experiments : JoVE.

Bmc Medical Informatics and Decision Making Brain Mapping and Detection of Functional Patterns in Fmri Using Wavelet Transform; Application in Detection of Dyslexia

K. Najarian, Kevin Ward, Soo-Yeon Ji, 2009 .

Classification of 3D Magnetic Resonance Images of Brain using Discrete Wavelet Transform

B. Borowski, A. Fleisher, H. Brodaty, 2016 .

A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis

Kayvan Najarian, Ou Bai, Yurong Luo, 2013, TheScientificWorldJournal.

Vessel segmentation and catheter detection in X-ray angiograms using superpixels

S. Shirani, B. Nallamothu, K. Najarian, 2017, Medical & Biological Engineering & Computing.

Bmc Medical Informatics and Decision Making Unified Wavelet and Gaussian Filtering for Segmentation of Ct Images; Application in Segmentation of Bone in Pelvic Ct Images

K. Najarian, Kevin Ward, S. Vasilache, 2009 .

Spleen Segmentation and Assessment in CT Images for Traumatic Abdominal Injuries

Yang Tang, S. Mohamad R. Soroushmehr, Kayvan Najarian, 2015, Journal of Medical Systems.

An automated method for hemorrhage detection in traumatic pelvic injuries

Kayvan Najarian, Jie Wu, Pavani Davuluri, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.