Ece Ozkan

21 papers Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Foundation Model for Cardiac Time Series via Masked Latent Attention.
CoRR
Moritz Vandenhirtz, Samuel Ruipérez-Campillo, Simon Böhi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E. Vogt
2025 J jnl
From Slices to Structures: Unsupervised 3D Reconstruction of Female Pelvic Anatomy from Freehand Transvaginal Ultrasound.
CoRR
Max Krähenmann, Sergio Tascon-Morales, Fabian Laumer, Julia E. Vogt, Ece Ozkan
2025 J jnl
Predicting Pulmonary Hypertension in Newborns: A Multi-view VAE Approach.
CoRR
Lucas Erlacher, Samuel Ruipérez-Campillo, Holger Michel, Sven Wellmann, Thomas M. Sutter, Ece Ozkan, Julia E. Vogt
2025 J jnl
Temporal Representation Learning for Real-Time Ultrasound Analysis.
CoRR
Yves Stebler, Thomas M. Sutter, Ece Ozkan, Julia E. Vogt
2024 J jnl
Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.
Int. J. Comput. Vis.
Hanna Ragnarsdóttir, Ece Ozkan, Holger Michel, Kieran Chin-Cheong, Laura Manduchi, Sven Wellmann, Julia E. Vogt
2024 J jnl
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis.
Medical Image Anal.
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
2023 J jnl
Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis.
CoRR
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
2023 — conf
M(otion)-Mode Based Prediction of Ejection Fraction Using Echocardiograms.
DAGM
Ece Ozkan, Thomas M. Sutter, Yurong Hu, Sebastian Balzer, Julia E. Vogt
2023 J jnl
M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms.
CoRR
Ece Ozkan, Thomas M. Sutter, Yurong Hu, Sebastian Balzer, Julia E. Vogt
2023 J jnl
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis.
CoRR
Ece Ozkan, Xavier Boix
2022 — conf
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods.
MLHC
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
2022 J jnl
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods.
CoRR
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
2022 — conf
Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.
GCPR
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
2022 J jnl
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms.
CoRR
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
2022 J jnl
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge.
CoRR
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
2019 — conf
Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences.
ISBI
Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel
2019 J jnl
Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences.
CoRR
Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orçun Göksel
2017 J jnl
Robust motion tracking in liver from 2D ultrasound images using supporters.
Int. J. Comput. Assist. Radiol. Surg.
Ece Ozkan, Christine Tanner, Matej Kastelic, Oliver Mattausch, Maxim Makhinya, Orcun Goksel
2016 — conf
Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation.
MICCAI (2)
Firat Özdemir, Ece Ozkan, Orcun Goksel
2016 J jnl
Herding Generalizes Diverse M -Best Solutions.
CoRR
Ece Ozkan, Gemma Roig, Orcun Goksel, Xavier Boix
2015 — conf
Compliance boundary conditions for simulating deformations in a limited target region.
EMBC
Ece Ozkan, Orcun Goksel