Jonathan Gryak

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Fully automated endoscopic disease activity assessment in ulcerative colitis.

K. Najarian, A. Waljee, J. Gryak, 2020, Gastrointestinal endoscopy.

Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications.

Beatriz Paniagua, Kayvan Najarian, Jonathan Gryak, 2021, Seminars in orthodontics.

Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome

Kayvan Najarian, Harm Derksen, Jonathan Gryak, 2020, BMC Medical Imaging.

Prediction of oral food challenge outcomes via ensemble learning

K. Najarian, R. Ravikumar, Deborah R. Lee, 2022, Informatics in Medicine Unlocked.

Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care

Kayvan Najarian, Harm Derksen, Jonathan Gryak, 2021, Artif. Intell. Medicine.

Predicting Poor Sleep Quality in Fibromyalgia with Wrist Sensors

S. Mohamad R. Soroushmehr, Kayvan Najarian, Jonathan Gryak, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia

Kayvan Najarian, Elyas Sabeti, Harm Derksen, 2019, Entropy.

Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings

Kayvan Najarian, Hamid Ghanbari, Jonathan Gryak, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach

Kayvan Najarian, Jonathan Gryak, Sardar Ansari, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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.

Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features

B. Nallamothu, K. Najarian, J. Gryak, 2022, BMC Medical Imaging.

Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning

Kayvan Najarian, Jonathan Gryak, Julie Wang, 2021, Entropy.

Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry

Kayvan Najarian, Jonathan Gryak, Michael W. Sjoding, 2019, Informatics in medicine unlocked.

Novel Algorithm for Automated Optic Nerve Sheath Diameter Measurement Using a Clustering Approach.

K. Ward, C. Williamson, V. Rajajee, 2020, Military medicine.

Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features

M. Sjoding, B. Athey, H. Derksen, 2021, Comput. Biol. Medicine.

Prediction of Oral Food Challenges via Machine Learning

K. Najarian, G. Sanders, R. Ravikumar, 2022, arXiv.org.

ON THE CONJUGACY PROBLEM IN CERTAIN METABELIAN GROUPS pdf

Delaram Kahrobaei, Jonathan Gryak, Conchita Martínez-Pérez, 2016, Glasgow Mathematical Journal.

A deep learning framework for automated detection and quantitative assessment of liver trauma

K. Najarian, Negar Farzaneh, E. Stein, 2022, BMC Medical Imaging.

Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries

Kayvan Najarian, Cheng Jiang, Jie Cao, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Brain Hematoma Segmentation Using Active Learning and an Active Contour Model

Kayvan Najarian, Craig A. Williamson, Jonathan Gryak, 2019, IWBBIO.

Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour Modeling

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

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).

Motion-based Camera Localization System in Colonoscopy Videos

Kayvan Najarian, Jonathan Gryak, Ryan W. Stidham, 2020, Medical Image Anal..

Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images

Martin Styner, Kayvan Najarian, Jonathan Gryak, 2021, ML-CDS@MICCAI.

Automatic Segmentation of Mandibular Ramus and Condyles

Martin Styner, Beatriz Paniagua, Jonathan Gryak, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Algebraic Methods for Tensor Data

H. Derksen, K. Najarian, J. Gryak, 2020, SIAM J. Appl. Algebra Geom..

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).

Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system

Renaid B. Kim, Aaron M Williams, M. Mathis, 2022, Scientific Reports.

A Novel Atrial Fibrillation Prediction Algorithm Applicable to Recordings from Portable Devices

Kayvan Najarian, Hamid Ghanbari, Pujitha Gunaratne, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Clinical Decision Support Systems in Orthodontics: A Narrative Review of Data Science Approaches.

M. Styner, J. Fillion-Robin, K. Najarian, 2021, Orthodontics & craniofacial research.

Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries

C. Williamson, K. Najarian, J. Gryak, 2020, Diagnostics.

Automatic Midline Shift Detection in Traumatic Brain Injury

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

Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury

Kayvan Najarian, Jonathan Gryak, Heming Yao, 2020, Artif. Intell. Medicine.

A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication

C. Williamson, K. Najarian, J. Gryak, 2021, npj Digital Medicine.

Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-ray

Kayvan Najarian, Jonathan Gryak, Zhi Li, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Markov Models for Detection of Ventricular Arrhythmia

Kayvan Najarian, Pujitha Gunaratne, Harm Derksen, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome

Kayvan Najarian, Elyas Sabeti, Jonathan Gryak, 2020, IEEE Journal of Biomedical and Health Informatics.

3D Auto-Segmentation of Mandibular Condyles

Kayvan Najarian, Jonathan Gryak, Jonas Bianchi, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & 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.

Diabetic Wound Segmentation using Convolutional Neural Networks

Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Kayvan Najarian, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers

Kayvan Najarian, Jonathan Gryak, Renaid B Kim, 2020, Comput. Biol. Medicine.

Medical Diagnostics Based on Encrypted Medical Data

Delaram Kahrobaei, S. Mohamad R. Soroushmehr, Kayvan Najarian, 2019, BICT.

Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR

Lucia H. S. Cevidanes, R. Kikinis, S. Pieper, 2022, PloS one.

Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers

Beatriz Paniagua, Kayvan Najarian, Jonathan Gryak, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

The status of polycyclic group-based cryptography: A survey and open problems

Delaram Kahrobaei, Jonathan Gryak, Delaram Kahrobaei, 2016, Groups Complex. Cryptol..

Identifying potential candidates for advanced heart failure therapies using an interpretable machine learning algorithm.

K. Najarian, F. Pagani, J. Gryak, 2022, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

Evaluation of Capacitive ECG for Unobtrusive Atrial Fibrillation Monitoring

Pujitha Gunaratne, K. Najarian, Winston Zhang, 2023, IEEE Sensors Letters.

Increasing efficiency of SVMp+ for handling missing values in healthcare prediction

K. Najarian, Zijun Gao, Emily Wittrup, 2023, PLOS Digital Health.

Tensor Denoising via Amplification and Stable Rank Methods

H. Derksen, K. Najarian, J. Gryak, 2023, ArXiv.

Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata

Kayvan Najarian, Cheng Jiang, Hamid Ghanbari, 2021, Biomed. Signal Process. Control..

Supraventricular Tachycardia Detection via Machine Learning Algorithms

Kayvan Najarian, Hamid Ghanbari, Pujitha Gunaratne, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs

Fatemeh Afghah, Kayvan Najarian, Jonathan Gryak, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).