| 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 | 101 | 2021 |
| 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 | 52 | 2019 |
| 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 | 51 | 2020 |
| 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 | 49 | 2021 |
| 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 | 46 | 2020 |
| 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 | 44 | 2022 |
| 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 | 43 | 2022 |
| The status of polycyclic group-based cryptography: A survey and open problems J Gryak, D Kahrobaei Groups Complexity Cryptology 8 (2), 171-186, 2016 | 39 | 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 | 36 | 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 | 36 | 2019 |
| 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 | 35 | 2020 |
| 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 | 30 | 2021 |
| 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 | 29 | 2021 |
| Motion-based camera localization system in colonoscopy videos H Yao, RW Stidham, Z Gao, J Gryak, K Najarian Medical image analysis 73, 102180, 2021 | 26 | 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 | 24 | 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 | 24 | 2018 |
| A deep learning framework for automated detection and quantitative assessment of liver trauma N Farzaneh, EB Stein, R Soroushmehr, J Gryak, K Najarian BMC medical imaging 22 (1), 39, 2022 | 23 | 2022 |
| 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 | 23 | 2019 |
| Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features N Reamaroon, MW Sjoding, J Gryak, BD Athey, K Najarian, H Derksen Computers in biology and medicine 134, 104463, 2021 | 22 | 2021 |
| 3D auto-segmentation of mandibular condyles S Brosset, M Dumont, J Bianchi, A Ruellas, L Cevidanes, M Yatabe, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 22 | 2020 |
Kayvan NajarianProfessor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp EngineeringOverená e-mailová adresa na: umich.edu
