Alexandra Ertl

According to our database, Alexandra Ertl authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation.

Tristan Kirscher, Alexandra Ertl, Klaus Maier-Hein, Xavier Coubez, Philippe Meyer, Sylvain Faisan

CoRR, April, 2026

The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction.

Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir

CoRR, March, 2026

2025

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge.

Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec

CoRR, June, 2025

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection.

Alexandra Ertl, Shuhan Xiao, Stefan Denner, Robin Peretzke, David Zimmerer, Peter Neher, Fabian Isensee, Klaus H. Maier-Hein

CoRR, April, 2025

On Tackling Domain Shift in Breast MRI Using Only Publicly-Available Data: Reproducible Breast Cancer Segmentation and pCR Prediction.

Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Klaus H. Maier-Hein

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

2024

Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification.

Jessica Kächele, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Marlin Hanstein, Florian M. Hauptmann, Dimitrios Bounias, Marco Nolden, Peter Neher, Klaus H. Maier-Hein

Proceedings of the Image-Based Prediction of Retinal Disease Progression, 2024

2023

Automated Thrombus Segmentation in Stroke NCCT Incorporating Clinical Data.

Alexandra Ertl, Philipp Maas, Wiebke Rudolph, Johanna Rümenapp, Eren Bora Yilmaz, Claus-Christian Glüer, Olav Jansen, Michael Müller

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

3D CNN-based Identification of Hyperdensities in Cranial Non-contrast CT After Thrombectomy.

Alexandra Ertl, Alfred M. Franz, Bernd Schmitz, Michael Braun

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022