Jonathan Gryak
Jonathan Gryak
Assistant Professor of Computer Science, Queens College, City University of New York
Verified email at - Homepage
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Cited by
Fully automated endoscopic disease activity assessment in ulcerative colitis
H Yao, K Najarian, J Gryak, S Bishu, MD Rice, AK Waljee, HJ Wilkins, ...
Gastrointestinal Endoscopy 93 (3), 728-736. e1, 2021
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication
N Farzaneh, CA Williamson, J Gryak, K Najarian
NPJ digital medicine 4 (1), 78, 2021
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome
N Reamaroon, MW Sjoding, H Derksen, E Sabeti, J Gryak, RP Barbaro, ...
BMC medical imaging 20, 1-13, 2020
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury
H Yao, C Williamson, J Gryak, K Najarian
Artificial Intelligence in Medicine 107, 101910, 2020
Diabetic wound segmentation using convolutional neural networks
C Cui, K Thurnhofer-Hemsi, R Soroushmehr, A Mishra, J Gryak, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
The status of polycyclic group-based cryptography: A survey and open problems
J Gryak, D Kahrobaei
Groups Complexity Cryptology 8 (2), 171-186, 2016
Automated segmentation and severity analysis of subdural hematoma for patients with traumatic brain injuries
N Farzaneh, CA Williamson, C Jiang, A Srinivasan, JR Bapuraj, J Gryak, ...
Diagnostics 10 (10), 773, 2020
Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry
E Sabeti, N Reamaroon, M Mathis, J Gryak, M Sjoding, K Najarian
Informatics in medicine unlocked 16, 100222, 2019
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features
Z Gao, L Wang, R Soroushmehr, A Wood, J Gryak, B Nallamothu, ...
BMC Medical Imaging 22 (1), 10, 2022
Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers
RB Kim, J Gryak, A Mishra, C Cui, SMR Soroushmehr, K Najarian, ...
Computers in biology and medicine 126, 104042, 2020
Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR
M Gillot, B Baquero, C Le, R Deleat-Besson, J Bianchi, A Ruellas, ...
PLoS One 17 (10), e0275033, 2022
Decision support systems in temporomandibular joint osteoarthritis: a review of data science and artificial intelligence applications
J Bianchi, A Ruellas, JC Prieto, T Li, R Soroushmehr, K Najarian, J Gryak, ...
Seminars in orthodontics 27 (2), 78-86, 2021
Noise detection in electrocardiography signal for robust heart rate variability analysis: A deep learning approach
S Ansari, J Gryak, K Najarian
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Motion-based camera localization system in colonoscopy videos
H Yao, RW Stidham, Z Gao, J Gryak, K Najarian
Medical image analysis 73, 102180, 2021
Clinical decision support systems in orthodontics: a narrative review of data science approaches
N Al Turkestani, J Bianchi, R Deleat‐Besson, C Le, L Tengfei, JC Prieto, ...
Orthodontics & craniofacial research 24, 26-36, 2021
Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care
L Hernandez, R Kim, N Tokcan, H Derksen, BE Biesterveld, A Croteau, ...
Artificial Intelligence in Medicine 113, 102032, 2021
Learning using partially available privileged information and label uncertainty: application in detection of acute respiratory distress syndrome
E Sabeti, J Drews, N Reamaroon, E Warner, MW Sjoding, J Gryak, ...
IEEE journal of biomedical and health informatics 25 (3), 784-796, 2020
Automated detection of non-informative frames for colonoscopy through a combination of deep learning and feature extraction
H Yao, RW Stidham, R Soroushmehr, J Gryak, K Najarian
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Learning using concave and convex kernels: Applications in predicting quality of sleep and level of fatigue in fibromyalgia
E Sabeti, J Gryak, H Derksen, C Biwer, S Ansari, H Isenstein, A Kratz, ...
Entropy 21 (5), 442, 2019
Osteosarcoma patients classification using plain X-rays and metabolomic data
R Shen, Z Li, L Zhang, Y Hua, M Mao, Z Li, Z Cai, Y Qiu, J Gryak, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
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