| 2024 | IDEAL | Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization. | Luis Correas-Naranjo, Miguel Camacho-Snchez, Latitia Launet, Milena Zuric, Valery Naranjo |
| 2024 | KES | Optimizing Deep Learning Models for Edge Computing in Histopathology: Bridging the Gap to Clinical Practice. | Cristian Pulgarn-Ospina, Latitia Launet, Adrin Colomer, Valery Naranjo |
| 2024 | MICCAI | Domain Adaptation for Unsupervised Cancer Detection: An Application for Skin Whole Slides Images from an Interhospital Dataset. | Natalia P. Garca-de-la-Puente, Miguel Lpez-Prez, Latitia Launet, Valery Naranjo |
| 2022 | ICIP | A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis. | Latitia Launet, Adrin Colomer, Andrs Mosquera-Zamudio, Anas Moscard, Carlos Monteagudo, Valery Naranjo |
| 2022 | IDEAL | Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise. | Jess Cantero, Adrin Colomer, Latitia Launet, Alexandre Duchevet, Tho de la Hogue, Jean-Paul Imbert, Valery Naranjo |
| 2022 | IDEAL | Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. | Latitia Launet, Roco del Amor, Adrin Colomer, Andrs Mosquera-Zamudio, Anas Moscard, Carlos Monteagudo, Zhiming Zhao, Valery Naranjo |