| Spatial domain reconstruction for imaging speed-of-sound with pulse-echo ultrasound: simulation and in vivo study SJ Sanabria, E Ozkan, M Rominger, O Goksel Physics in Medicine & Biology 63 (21), 215015, 2018 | 88 | 2018 |
| Inverse problem of ultrasound beamforming with sparsity constraints and regularization E Ozkan, V Vishnevsky, O Goksel IEEE transactions on ultrasonics, ferroelectrics, and frequency control 65 …, 2017 | 63 | 2017 |
| Siamese networks with location prior for landmark tracking in liver ultrasound sequences A Gomariz, W Li, E Ozkan, C Tanner, O Goksel 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 45 | 2019 |
| Breast cancer assessment with pulse-echo speed of sound ultrasound from intrinsic tissue reflections: Proof-of-concept L Ruby, SJ Sanabria, K Martini, KJ Dedes, D Vorburger, E Oezkan, ... Investigative radiology 54 (7), 419-427, 2019 | 39 | 2019 |
| ELPHA: Dynamically deformable liver phantom for real‐time motion‐adaptive radiotherapy treatments S Ehrbar, A Jöhl, M Kühni, M Meboldt, E Ozkan Elsen, C Tanner, ... Medical physics 46 (2), 839-850, 2019 | 27 | 2019 |
| Robust motion tracking in liver from 2D ultrasound images using supporters E Ozkan, C Tanner, M Kastelic, O Mattausch, M Makhinya, O Goksel International journal of computer assisted radiology and surgery 12 (6), 941-950, 2017 | 26 | 2017 |
| Graphical modeling of ultrasound propagation in tissue for automatic bone segmentation F Ozdemir, E Ozkan, O Goksel Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 23 | 2016 |
| Debiasing Deep Chest X-Ray Classifiers using Intra-and Post-processing Methods R Marcinkevičs, E Ozkan, JE Vogt The 7th Machine Learning for Healthcare Conference, MLHC 2022, 2022 | 18 | 2022 |
| Compliance boundary conditions for patient-specific deformation simulation using the finite element method E Ozkan, O Goksel Biomedical Physics & Engineering Express 4 (2), 025003, 2018 | 11 | 2018 |
| Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis R Marcinkevičs, PR Wolfertstetter, U Klimiene, K Chin-Cheong, ... Medical Image Analysis, 2024 | 10* | 2024 |
| Compliance boundary conditions for simulating deformations in a limited target region E Ozkan, O Goksel 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 5 | 2015 |
| M (otion)-mode Based Prediction of Ejection Fraction using Echocardiograms E Ozkan, TM Sutter, Y Hu, S Balzer, JE Vogt arXiv preprint arXiv:2309.03759, 2023 | 3* | 2023 |
| Inverse problem of ultrasound beamforming with sparsity in time and frequency domain E Ozkan, O Goksel 2016 IEEE International Ultrasonics Symposium (IUS), 1-3, 2016 | 3 | 2016 |
| Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms H Ragnarsdottir, E Ozkan, H Michel, K Chin-Cheong, L Manduchi, ... International Journal of Computer Vision, 1-18, 2024 | 2* | 2024 |
| Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge JE Vogt, E Ozkan, R Marcinkeviĉs Digital Medicine, 3-34, 2023 | 2* | 2023 |
| Displacement Estimation Methods for Speed-of-Sound Imaging in Pulse-Echo R Rau, E Ozkan, BM Ozturkler, L Gastli, O Goksel 2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020 | 2 | 2020 |
| Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis E Ozkan, X Boix arXiv preprint arXiv:2310.06737, 2023 | | 2023 |
| Ein Deep-Learning-Ansatz zur automatisierten Detektion von pulmonaler Hypertension beim Neugeborenen anhand von 2D-Echokardiographie-Videos H Michel, H Ragnarsdottir, L Manduchi, F Laumer, E Özkan, J Vogt, ... Zeitschrift für Geburtshilfe und Neonatologie 227 (03), FV071, 2023 | | 2023 |
| Methods for Image Reconstruction of Soft Tissue Biomechanical Characteristics Using Ultrasound E Özkan ETH Zurich, 2018 | | 2018 |
| Herding Generalizes Diverse M-Best Solutions E Ozkan, G Roig, O Goksel, X Boix arXiv preprint arXiv:1611.04353, 2016 | | 2016 |
Orcun GokselUppsala UniversityVerified email at it.uu.se
