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Books and Theses
- 2017
[b1]Jonathan Gryak:
Solving Algorithmic Problems in Finitely Presented Groups via Machine Learning. City University of New York, USA, 2017
Journal Articles
- 2024
- [j21]Zijun Gao
, Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian:
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection. Artif. Intell. Medicine 156: 102947 (2024) - 2023
- [j20]Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification. Algorithms 16(2): 104 (2023) - [j19]Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian:
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE J. Biomed. Health Informatics 27(1): 239-250 (2023) - 2022
- [j18]Zijun Gao, Lu Wang, Reza Soroushmehr, Alexander Wood, Jonathan Gryak, Brahmajee K. Nallamothu, Kayvan Najarian:
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features. BMC Medical Imaging 22(1): 10 (2022) - [j17]Negar Farzaneh, Erica B. Stein, Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian:
A deep learning framework for automated detection and quantitative assessment of liver trauma. BMC Medical Imaging 22(1): 39 (2022) - [j16]Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak, Kayvan Najarian:
An interpretable neural network for outcome prediction in traumatic brain injury. BMC Medical Informatics Decis. Mak. 22(1): 203 (2022) - 2021
- [j15]Larry Hernandez, Renaid B. Kim, Neriman Tokcan, Harm Derksen, Ben E. Biesterveld, Alfred Croteau, Aaron M. Williams, Michael Mathis, Kayvan Najarian, Jonathan Gryak:
Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care. Artif. Intell. Medicine 113: 102032 (2021) - [j14]Zhi Li, Harm Derksen, Jonathan Gryak, Cheng Jiang, Zijun Gao, Winston Zhang, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata. Biomed. Signal Process. Control. 63: 102200 (2021) - [j13]Narathip Reamaroon, Michael W. Sjoding, Jonathan Gryak, Brian D. Athey, Kayvan Najarian, Harm Derksen:
Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. Comput. Biol. Medicine 134: 104463 (2021) - [j12]Julie Wang, Alexander Wood, Chao Gao, Kayvan Najarian, Jonathan Gryak:
Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning. Entropy 23(4): 382 (2021) - [j11]Heming Yao, Ryan W. Stidham, Zijun Gao, Jonathan Gryak, Kayvan Najarian:
Motion-based camera localization system in colonoscopy videos. Medical Image Anal. 73: 102180 (2021) - [j10]Zhi Li, Kevin M. Wheelock, Sangeeta Lathkar-Pradhan, Hakan Oral, Daniel J. Clauw, Pujitha Gunaratne, Jonathan Gryak, Kayvan Najarian, Brahmajee K. Nallamothu, Hamid Ghanbari:
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity. BMC Medical Informatics Decis. Mak. 21(1): 364 (2021) - [j9]Negar Farzaneh, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. npj Digit. Medicine 4 (2021) - [j8]Neriman Tokcan, Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Algebraic Methods for Tensor Data. SIAM J. Appl. Algebra Geom. 5(1): 1-27 (2021) - [j7]Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian:
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 25(3): 784-796 (2021) - 2020
- [j6]Heming Yao, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury. Artif. Intell. Medicine 107: 101910 (2020) - [j5]Narathip Reamaroon, Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro, Brian D. Athey, Kayvan Najarian:
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. BMC Medical Imaging 20(1): 116 (2020) - [j4]Renaid B. Kim, Jonathan Gryak, Abinash Mishra, Can Cui, S. M. Reza Soroushmehr, Kayvan Najarian, James S. Wrobel:
Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers. Comput. Biol. Medicine 126: 104042 (2020) - [j3]Jonathan Gryak, Robert M. Haralick, Delaram Kahrobaei:
Solving the Conjugacy Decision Problem via Machine Learning. Exp. Math. 29(1): 66-78 (2020) - 2019
- [j2]Elyas Sabeti, Jonathan Gryak, Harm Derksen, Craig Biwer, Sardar Ansari, Howard Isenstein, Anna Kratz, Kayvan Najarian:
Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia. Entropy 21(5): 442 (2019) - 2016
- [j1]Jonathan Gryak, Delaram Kahrobaei:
The status of polycyclic group-based cryptography: A survey and open problems. Groups Complex. Cryptol. 8(2): 171-186 (2016)
Conference and Workshop Papers
- 2021
- [c31]Winston Zhang, Jonas Bianchi, Najla Al Turkestani, Celia Le, Romain Deleat-Besson, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Juan Prieto, Beatriz Paniagua, Kayvan Najarian, Jonathan Gryak, Reza Soroushmehr:
Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers. EMBC 2021: 1810-1813 - [c30]Romain Deleat-Besson, Celia Le, Najla Al Turkestani, Winston Zhang, Maxime Dumont, Serge Brosset, Juan Carlos Prieto, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Kayvan Najarian, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Reza Soroushmehr:
Automatic Segmentation of Dental Root Canal and Merging with Crown Shape. EMBC 2021: 2948-2951 - [c29]Celia Le, Romain Deleat-Besson, Juan Carlos Prieto, Serge Brosset, Maxime Dumont, Winston Zhang, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Liliane R. Gomes, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marilia Yatabe, Erika Benavides, Fabiana Soki, Najla Al Turkestani, Karine Evangelista, João Roberto Gonçalves, Jose Valladares-Neto, Maria Alves Garcia Silva, Cauby Maia Chaves Junior, Fábio Costa, Daniela Gamba Garib, Heesoo Oh, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Kayvan Najarian, Reza Soroushmehr:
Automatic Segmentation of Mandibular Ramus and Condyles. EMBC 2021: 2952-2955 - [c28]Serge Brosset, Maxime Dumont, Lucia H. S. Cevidanes, Reza Soroushmehr, Jonas Bianchi, Marcela Lima Gurgel, Romain Deleat-Besson, Celia Le, Antonio C. Ruellas, Marilia Yatabe, Liliane R. Gomes, João Roberto Gonçalves, Kayvan Najarian, Jonathan Gryak, Beatriz Paniagua, Martin Styner, Juan Carlos Prieto:
Web infrastructure for data management, storage and computation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c27]Winston Zhang, Najla Al Turkestani, Jonas Bianchi, Celia Le, Romain Deleat-Besson, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Juan Prieto, Beatriz Paniagua, Jonathan Gryak, Kayvan Najarian, Reza Soroushmehr:
Feature Selection for Privileged Modalities in Disease Classification. ML-CDS@MICCAI 2021: 69-80 - [c26]Romain Deleat-Besson, Celia Le, Winston Zhang, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Kayvan Najarian, Jonathan Gryak, Martin Styner, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Loris Bert, Reza Soroushmehr, Juan Prieto:
Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images. ML-CDS@MICCAI 2021: 81-92 - 2020
- [c25]Olivia Alge, Lu Lu, Zhi Li, Yingqi Hua, Jonathan Gryak, Kayvan Najarian:
Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-ray. EMBC 2020: 1165-1168 - [c24]Serge Brosset, Maxime Dumont, Jonas Bianchi, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Beatriz Paniagua, Juan Prieto, Kayvan Najarian, Jonathan Gryak, Reza Soroushmehr:
3D Auto-Segmentation of Mandibular Condyles. EMBC 2020: 1270-1273 - [c23]Olivia Alge, S. M. Reza Soroushmehr, Jonathan Gryak, Anna Kratz, Kayvan Najarian:
Predicting Poor Sleep Quality in Fibromyalgia with Wrist Sensors. EMBC 2020: 4290-4293 - [c22]Maxime Dumont, Juan-Carlos Prieto, Serge Brosset, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Kayvan Najarian, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Reza Soroushmehr:
Patient Specific Classification of Dental Root Canal and Crown Shape. ShapeMI@MICCAI 2020: 145-153 - 2019
- [c21]Heming Yao, Keith D. Aaronson, Lu Lu, Jonathan Gryak, Kayvan Najarian, Jessica R. Golbus:
Using a Fuzzy Neural Network in Clinical Decision Support for Patients with Advanced Heart Failure. BIBM 2019: 995-999 - [c20]Cheng Jiang, Jie Cao, Craig A. Williamson, Negar Farzaneh, Venkatakrishna Rajajee, Jonathan Gryak, Kayvan Najarian, S. M. Reza Soroushmehr:
Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. BIBM 2019: 1083-1086 - [c19]Alexey Gribov, Kelsey Horan, Jonathan Gryak, Kayvan Najarian, Vladimir Shpilrain, S. M. Reza Soroushmehr, Delaram Kahrobaei:
Medical Diagnostics Based on Encrypted Medical Data. BICT 2019: 98-111 - [c18]Behzad Ghazanfari, Fatemeh Afghah, Kayvan Najarian, Sajad Mousavi, Jonathan Gryak, James Todd:
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. EMBC 2019: 349-353 - [c17]Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio:
Diabetic Wound Segmentation using Convolutional Neural Networks. EMBC 2019: 1002-1005 - [c16]Zhi Li, Harm Derksen, Jonathan Gryak, Mohsen Hooshmand, Alexander Wood, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
Markov Models for Detection of Ventricular Arrhythmia. EMBC 2019: 1488-1491 - [c15]Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Jonathan Gryak, Michael W. Sjoding, Kayvan Najarian:
Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information. EMBC 2019: 1717-1720 - [c14]Heming Yao, Ryan W. Stidham, Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian:
Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature Extraction. EMBC 2019: 2402-2406 - [c13]S. M. Reza Soroushmehr, Krishna Rajajee, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian, Kevin Ward, Mohamad Hakam Tiba:
Automated Optic Nerve Sheath Diameter Measurement Using Super-pixel Analysis. EMBC 2019: 2793-2796 - [c12]Heming Yao, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
Brain Hematoma Segmentation Using Active Learning and an Active Contour Model. IWBBIO (2) 2019: 385-396 - 2018
- [c11]Olivia Alge, Jonathan Gryak, Yingqi Hua, Kayvan Najarian:
Classifying Osteosarcoma Using Meta-Analysis of Gene Expression. BIBM 2018: 2400-2404 - [c10]Zhi Li, Harm Derksen, Jonathan Gryak, Mohsen Hooshmand, Alexander Wood, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
Supraventricular Tachycardia Detection via Machine Learning Algorithms. BIBM 2018: 2419-2422 - [c9]Alexander Wood, S. M. Reza Soroushmehr, Negar Farzaneh, David Paul Fessell, Kevin R. Ward, Jonathan Gryak, Delaram Kahrobaei, Kayvan Najarian:
Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. EMBC 2018: 53-56 - [c8]Mohsen Hooshmand, S. M. Reza Soroushmehr, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
Automatic Midline Shift Detection in Traumatic Brain Injury. EMBC 2018: 131-134 - [c7]An Nguyen, Sardar Ansari, Mohsen Hooshmand, Kaiwen Lin, Hamid Ghanbari, Jonathan Gryak, Kayvan Najarian:
Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings. EMBC 2018: 526-529 - [c6]Rebecca Shen, Zhi Li, Linglin Zhang, Yingqi Hua, Min Mao, Zhicong Li, Zhengdong Cai, Yunping Qiu, Jonathan Gryak, Kayvan Najarian:
Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data. EMBC 2018: 690-693 - [c5]Heming Yao, Wei Zhang, Rajesh K. Malhan, Jonathan Gryak, Kayvan Najarian:
Filter-Pruned 3D Convolutional Neural Network for Drowsiness Detection. EMBC 2018: 1258-1262 - [c4]Negar Farzaneh, S. M. Reza Soroushmehr, Hirenkumar Patel, Alexander Wood, Jonathan Gryak, David Paul Fessell, Kayvan Najarian:
Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour Modeling. EMBC 2018: 3418-3421 - [c3]Zhi Li, Harm Derksen, Jonathan Gryak, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
A Novel Atrial Fibrillation Prediction Algorithm Applicable to Recordings from Portable Devices. EMBC 2018: 4034-4037 - [c2]Sardar Ansari, Jonathan Gryak, Kayvan Najarian:
Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach. EMBC 2018: 5632-5635 - [c1]Heming Yao, Craig A. Williamson, S. M. Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian:
Hematoma Segmentation Using Dilated Convolutional Neural Network. EMBC 2018: 5902-5905
Informal and Other Publications
- 2023
- [i9]Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Tensor Denoising via Amplification and Stable Rank Methods. CoRR abs/2301.03761 (2023) - 2022
- [i8]Justin Zhang, Deborah Lee, Kylie Jungles, Diane Shaltis, Kayvan Najarian, Rajan Ravikumar, Georgiana Sanders, Jonathan Gryak:
Prediction of Oral Food Challenges via Machine Learning. CoRR abs/2208.08268 (2022) - 2021
- [i7]Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian:
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure. CoRR abs/2112.05071 (2021) - 2020
- [i6]Neriman Tokcan, Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Algebraic Methods for Tensor Data. CoRR abs/2005.12988 (2020) - [i5]Heming Yao, Ryan W. Stidham, Jonathan Gryak, Kayvan Najarian:
Motion-based Camera Localization System in Colonoscopy Videos. CoRR abs/2012.01690 (2020) - 2019
- [i4]Behzad Ghazanfari, Fatemeh Afghah, Kayvan Najarian, Sajad Mousavi, Jonathan Gryak, James Todd:
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. CoRR abs/1904.08495 (2019) - 2017
- [i3]Jonathan Gryak, Robert M. Haralick, Delaram Kahrobaei:
Solving the Conjugacy Decision Problem via Machine Learning. CoRR abs/1705.10417 (2017) - 2016
- [i2]Jonathan Gryak, Delaram Kahrobaei:
The Status of Polycyclic Group-Based Cryptography: A Survey and Open Problems. CoRR abs/1607.05819 (2016) - [i1]Jonathan Gryak, Delaram Kahrobaei, Conchita Martínez-Pérez:
On the Conjugacy Problem in Certain Metabelian Groups. CoRR abs/1610.06503 (2016)
Coauthor Index
[j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j2] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i9] [i8] [i7] [i6] [i5] [i4]
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