Daniele Falcetta

According to our database, Daniele Falcetta authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

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

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation.

Daniele Falcetta, Vincenzo Marcianó, Kaiyuan Yang, Jon O. Cleary, Loïc Legris, Massimiliano Domenico Rizzaro, Ioannis Pitsiorlas, Hava Chaptoukaev, Benjamin Lemasson, Bjoern H. Menze, Maria A. Zuluaga

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

One-Shot Active Learning for Vessel Segmentation.

Daniele Falcetta, Hava Chaptoukaev, Francesco Galati, Maria A. Zuluaga

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2023

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.

Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.

CoRR, 2023

A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation.

Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga

Proceedings of the 34th British Machine Vision Conference 2023, 2023