An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images. - Rocío del Amor; Laëtitia Launet; Adrián Colomer; Anaïs Moscardó; Andrés Mosquera-Zamudio; Carlos Monteagudo; Valery Naranjo (Artif. Intell. Medicine, 2021)

An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI. - Rocío del Amor; Laëtitia Launet; Adrián Colomer; Anaïs Moscardó; Andrés Mosquera-Zamudio; Carlos Monteagudo; Valery Naranjo (CoRR, 2021)

A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis. - Laëtitia Launet; Adrián Colomer; Andrés Mosquera-Zamudio; Anaïs Moscardó; Carlos Monteagudo; Valery Naranjo (ICIP, 2022)

Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise. - Jesús Cantero; Adrián Colomer; Laëtitia Launet; Alexandre Duchevet; Théo de la Hogue; Jean-Paul Imbert; Valery Naranjo (IDEAL, 2022)

Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. - Laëtitia Launet; Rocío del Amor; Adrián Colomer; Andrés Mosquera-Zamudio; Anaïs Moscardó; Carlos Monteagudo; Zhiming Zhao; Valery Naranjo (IDEAL, 2022)

Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data. - Rocío del Amor; Francisco Javier Curieses; Laëtitia Launet; Adrián Colomer; Anaïs Moscardó; Andrés Mosquera-Zamudio; Carlos Monteagudo; Valery Naranjo (IVMSP, 2022)

Constrained multiple instance learning for ulcerative colitis prediction using histological images. - Rocío del Amor; Pablo Meseguer; Tommaso Lorenzo Parigi; Vincenzo Villanacci; Adrián Colomer; Laëtitia Launet; Alina Bazarova; Gian Eugenio Tontini; Raf Bisschops; Gert de Hertogh; Jose G. Ferraz; Martin Götz; et al. (Comput. Methods Programs Biomed., 2022)

Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization. - Luis Correas-Naranjo; Miguel Camacho-Sánchez; Laëtitia Launet; Milena Zuric; Valery Naranjo (IDEAL (1), 2024)

Optimizing Deep Learning Models for Edge Computing in Histopathology: Bridging the Gap to Clinical Practice. - Cristian Pulgarín-Ospina; Laëtitia Launet; Adrián Colomer; Valery Naranjo (KES, 2024)

Domain Adaptation for Unsupervised Cancer Detection: An Application for Skin Whole Slides Images from an Interhospital Dataset. - Natalia P. García-de-la-Puente; Miguel López-Pérez; Laëtitia Launet; Valery Naranjo (MICCAI (4), 2024)