Jonathan Gryak

Orcid: 0000-0002-5125-7741

According to our database1, Jonathan Gryak authored at least 57 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification.
Algorithms, February, 2023

A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies.
IEEE J. Biomed. Health Informatics, 2023

Tensor Denoising via Amplification and Stable Rank Methods.
CoRR, 2023

2022
An interpretable neural network for outcome prediction in traumatic brain injury.
BMC Medical Informatics Decis. Mak., 2022

Prediction of Oral Food Challenges via Machine Learning.
CoRR, 2022

Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.
BMC Medical Imaging, 2022

A deep learning framework for automated detection and quantitative assessment of liver trauma.
BMC Medical Imaging, 2022

2021
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome.
IEEE J. Biomed. Health Informatics, 2021

Algebraic Methods for Tensor Data.
SIAM J. Appl. Algebra Geom., 2021

A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication.
npj Digit. Medicine, 2021

Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity.
BMC Medical Informatics Decis. Mak., 2021

Motion-based camera localization system in colonoscopy videos.
Medical Image Anal., 2021

Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning.
Entropy, 2021

A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure.
CoRR, 2021

Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features.
Comput. Biol. Medicine, 2021

Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata.
Biomed. Signal Process. Control., 2021

Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care.
Artif. Intell. Medicine, 2021

Feature Selection for Privileged Modalities in Disease Classification.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021



Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021



2020
Solving the Conjugacy Decision Problem via Machine Learning.
Exp. Math., 2020

Motion-based Camera Localization System in Colonoscopy Videos.
CoRR, 2020

Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers.
Comput. Biol. Medicine, 2020

Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome.
BMC Medical Imaging, 2020

Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury.
Artif. Intell. Medicine, 2020


3D Auto-Segmentation of Mandibular Condyles.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Predicting Poor Sleep Quality in Fibromyalgia with Wrist Sensors.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-ray.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia.
Entropy, 2019

Brain Hematoma Segmentation Using Active Learning and an Active Contour Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature Extraction.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Automated Optic Nerve Sheath Diameter Measurement Using Super-pixel Analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Markov Models for Detection of Ventricular Arrhythmia.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Diabetic Wound Segmentation using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Medical Diagnostics Based on Encrypted Medical Data.
Proceedings of the Bio-inspired Information and Communication Technologies, 2019

Using a Fuzzy Neural Network in Clinical Decision Support for Patients with Advanced Heart Failure.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Filter-Pruned 3D Convolutional Neural Network for Drowsiness Detection.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Hematoma Segmentation Using Dilated Convolutional Neural Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Novel Atrial Fibrillation Prediction Algorithm Applicable to Recordings from Portable Devices.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automatic Midline Shift Detection in Traumatic Brain Injury.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour Modeling.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Supraventricular Tachycardia Detection via Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Classifying Osteosarcoma Using Meta-Analysis of Gene Expression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Solving Algorithmic Problems in Finitely Presented Groups via Machine Learning.
PhD thesis, 2017

2016
The status of polycyclic group-based cryptography: A survey and open problems.
Groups Complex. Cryptol., 2016

On the Conjugacy Problem in Certain Metabelian Groups.
CoRR, 2016


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