Luisa Vargas

According to our database, Luisa Vargas authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

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

Divergence-Aware Training with Automatic Subgroup Mitigation for Breast Tumor Segmentation.

Eleonora Poeta, Luisa Vargas, Daniele Falcetta, Vincenzo Marcianó, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Maria A. Zuluaga

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

2024

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms.

Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristóbal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger

CoRR, 2024

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation.

Andrés Hernández, Zhongqi Miao, Luisa Vargas, Rahul Dodhia, Juan M. Lavista Ferres

CoRR, 2024

2023

Job-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images.

Natalia Valderrama, Ioannis Pitsiorlas, Luisa Vargas, Pablo Arbeláez, Maria A. Zuluaga

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

FeST: Learning Spatio-Temporal Priors for Fetal Brain MRI Segmentation.

María F. Peñuela, Luisa Vargas, Santiago Usma, María Escobar, Angela Castillo, Pablo Arbeláez

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023