Marta Ligero

According to our database, Marta Ligero authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

Abnormality-Driven Representation Learning for Radiology Imaging.

Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather

CoRR, 2024

Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.

Tim Lenz, Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather

CoRR, 2024

In-context learning enables multimodal large language models to classify cancer pathology images.

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, Omar S. M. El Nahhas, Gustav Müller-Franzes, Dirk Jäger, Daniel Truhn, Jakob Nikolas Kather

CoRR, 2024

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology.

Tim Lenz, Omar S. M. El Nahhas, Marta Ligero, Jakob Nikolas Kather

CoRR, 2024

Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology.

Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology.

Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine Jane Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather

CoRR, 2023

2019

Selection of Radiomics Features based on their Reproducibility.

Marta Ligero, Guillermo Torres, Carles Sánchez, Katerine Díaz-Chito, Raquel Perez, Debora Gil

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019