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Ece Ozkan
Ece Ozkan
Sonstige NamenEce Özkan, Ece Ozkan Elsen, Ece Özkan Elsen
Postdoctoral Fellow, MIT
Bestätigte E-Mail-Adresse bei mit.edu
Titel
Zitiert von
Zitiert von
Jahr
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
882018
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
632017
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
452019
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
392019
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
272019
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
262017
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
242016
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
182022
Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis
R Marcinkevičs, PR Wolfertstetter, U Klimiene, K Chin-Cheong, ...
Medical Image Analysis, 2024
11*2024
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
112018
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
52015
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
32016
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
22020
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
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