Ece Ozkan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Ultrasound Images

Prediction Algorithm

Machine Learning

Top Venues

Publications

Ricards Marcinkevics, Patricia Reis Wolfertstetter, Ugne Klimiene, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Wellmann, Ece Ozkan, Christian Knorr, Julia E. Vogt
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis. Medical Image Anal. 91 (2024)
Hanna Ragnarsdóttir, Ece Ozkan, Holger Michel, Kieran Chin-Cheong, Laura Manduchi, Sven Wellmann, Julia E. Vogt
Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms. Int. J. Comput. Vis. 132 (7) (2024)
Ece Ozkan, Xavier Boix
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis. CoRR (2023)
Ricards Marcinkevics, Patricia Reis Wolfertstetter, Ugne Klimiene, Ece Ozkan, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Wellmann, Christian Knorr, Julia E. Vogt
Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis. CoRR (2023)
Ece Ozkan, Thomas M. Sutter, Yurong Hu, Sebastian Balzer, Julia E. Vogt
M(otion)-Mode Based Prediction of Ejection Fraction Using Echocardiograms. DAGM (2023)
Ece Ozkan, Thomas M. Sutter, Yurong Hu, Sebastian Balzer, Julia E. Vogt
M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms. CoRR (2023)
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms. CoRR (2022)
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms. GCPR (2022)
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods. MLHC (2022)
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge. CoRR (2022)
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods. CoRR (2022)
Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel
Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences. ISBI (2019)
Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orçun Göksel
Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences. CoRR (2019)
Ece Ozkan, Christine Tanner, Matej Kastelic, Oliver Mattausch, Maxim Makhinya, Orcun Goksel
Robust motion tracking in liver from 2D ultrasound images using supporters. Int. J. Comput. Assist. Radiol. Surg. 12 (6) (2017)
Ece Ozkan, Gemma Roig, Orcun Goksel, Xavier Boix
Herding Generalizes Diverse M -Best Solutions. CoRR (2016)
Firat Özdemir, Ece Ozkan, Orcun Goksel
Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation. MICCAI (2) (2016)
Ece Ozkan, Orcun Goksel
Compliance boundary conditions for simulating deformations in a limited target region. EMBC (2015)