Ece Ozkan

Assistant Professor, DBE, University of Basel

Joined

January 2022

Names

Ece Ozkan (Preferred)

Emails

****@inf.ethz.ch (Confirmed)

****@mit.edu (Confirmed)

****@unibas.ch (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Assistant Professor

DBE, University of Basel (unibas.ch)

2025 – Present

Researcher

D-INFK, ETHZ - ETH Zurich (ethz.ch)

2023 – 2025

Postdoc

Brain and Cognitive Sciences, Massachusetts Institute of Technology (mit.edu)

2022 – 2023

Postdoc

D-INFK, Department of Computer Science, ETHZ - ETH Zurich (inf.ethz.ch)

2021 – 2022

PhD student

D-ITET, ETH Zurich (vision.ee.ethz.ch)

2014 – 2018

MS student

D-ITET, ETHZ - ETH Zurich (ethz.ch)

2012 – 2014

Advisors, Relations & Conflicts

Postdoc Advisor

Julia E Vogt

2021 – Present

Postdoc Advisor

Xavier Boix

2023 – 2024

PhD Advisor

Orcun Goksel

2014 – 2018

Expertise

Medical imaging

Present

Multimodality

Present

Ultrasound

Present

Publications

Foundation Model for Cardiac Time Series via Masked Latent Attention
Moritz Vandenhirtz, Samuel Ruiperez-Campillo, Sonia Laguna, Simon Böhi, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E Vogt
- ICLR 2026 Workshop FM4Science Poster
- Readers: Everyone
From Leads to Latents: Attention-Driven Masked Autoencoder for ECG Time Series
Samuel Ruiperez-Campillo, Moritz Vandenhirtz, Simon Böhi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E Vogt
- ICLR 2026 Workshop GRaM Poster
- Readers: Everyone
Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography
Simon Böhi, Irene Cannistraci, Sergio Muñoz Gonzalez, Moritz Vandenhirtz, Sonia Laguna, Samuel Ruiperez-Campillo, Max Krähenmann, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E Vogt
- ICLR 2026 Workshop FM4Science Poster
- Readers: Everyone
Predicting pulmonary hypertension in newborns: A multi-view VAE approach
Lucas Erlacher, Samuel Ruiperez-Campillo, Holger Michel, Sven Wellmann, Thomas M. Sutter, Ece Ozkan, Julia E Vogt
- ICLR 2025 Workshop AI4CHL Poster
- Readers: Everyone
Self-supervised Learning to Predict Ejection Fraction using Motion-mode Images
Yurong Hu, Thomas M. Sutter, Ece Ozkan, Julia E Vogt
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis
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 (modified: 28 Mar 2023)
- CoRR 2023
- Readers: Everyone
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
- 2022 (modified: 11 Jan 2023)
- CoRR 2022
- Readers: Everyone
Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
- 2022 (modified: 11 Jan 2023)
- GCPR 2022
- Readers: Everyone
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
- 2022 (modified: 02 Mar 2023)
- MLHC 2022
- Readers: Everyone
Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences
Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel
- 2019 (modified: 11 Jan 2023)
- ISBI 2019
- Readers: Everyone

View all 14 publications

Co-Authors

View all 37 co-authors