1 code implementation • 7 Jul 2023 • Valentin Comte, Mireia Alenya, Andrea Urru, Judith Recober, Ayako Nakaki, Francesca Crovetto, Oscar Camara, Eduard Gratacós, Elisenda Eixarch, Fàtima Crispi, Gemma Piella, Mario Ceresa, Miguel A. González Ballester
Accurate segmentation of fetal brain magnetic resonance images is crucial for analyzing fetal brain development and detecting potential neurodevelopmental abnormalities.
no code implementations • 18 Apr 2021 • Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent Ribas, Gemma Piella, Miguel A. González Ballester
Early detection and quantification of tumour growth would help clinicians to prescribe more accurate treatments and provide better surgical planning.
no code implementations • 26 Mar 2021 • Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent Ribas, Gemma Piella, Miguel A. González Ballester
We address the problem of supporting radiologists in the longitudinal management of lung cancer.
no code implementations • MIDL 2019 • Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent Ribas, Miguel A. González Ballester
Nodule malignancy assessment is a complex, time-consuming and error-prone task.
no code implementations • 22 Dec 2019 • Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent Ribas, Miguel Ángel González Ballester
Lung cancer follow-up is a complex, error prone, and time consuming task for clinical radiologists.
no code implementations • 18 Dec 2019 • Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent Ribas, Miguel A. González Ballester
The early identification of malignant pulmonary nodules is critical for better lung cancer prognosis and less invasive chemo or radio therapies.
no code implementations • 1 Apr 2018 • Karen López-Linares, Nerea Aranjuelo, Luis Kabongo, Gregory Maclair, Nerea Lete, Mario Ceresa, Ainhoa García-Familiar, Iván Macía, Miguel A. González Ballester
We propose a new fully automatic approach based on Deep Convolutional Neural Networks (DCNN) for robust and reproducible thrombus region of interest detection and subsequent fine thrombus segmentation.