Laëtitia Launet

11 papers B 2C 2Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization.
CoRR
Luis Correas-Naranjo, Miguel Camacho-Sánchez, Laëtitia Launet, Milena Zuric, Valery Naranjo
2024 — conf
Domain Adaptation for Unsupervised Cancer Detection: An Application for Skin Whole Slides Images from an Interhospital Dataset.
MICCAI (4)
Natalia P. García-de-la-Puente, Miguel López-Pérez, Laëtitia Launet, Valery Naranjo
2024 B conf
Optimizing Deep Learning Models for Edge Computing in Histopathology: Bridging the Gap to Clinical Practice.
KES
Cristian Pulgarín-Ospina, Laëtitia Launet, Adrián Colomer, Valery Naranjo
2024 — conf
Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization.
IDEAL (1)
Luis Correas-Naranjo, Miguel Camacho-Sánchez, Laëtitia Launet, Milena Zuric, Valery Naranjo
2022 B conf
A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis.
ICIP
Laëtitia Launet, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Valery Naranjo
2022 J jnl
Constrained multiple instance learning for ulcerative colitis prediction using histological images.
Comput. Methods Programs Biomed.
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, Xianyong Gui, Bu'Hussain Hayee, Mark Lazarev, Remo Panaccione, Adolfo Parra-Blanco, Pradeep Bhandari, Luca Pastorelli, Timo Rath, Elin Synnøve Røyset, Michael Vieth, Davide Zardo, Enrico Grisan, Subrata Ghosh, Marietta Iacucci, Valery Naranjo
2022 C conf
Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis.
IDEAL
Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao, Valery Naranjo
2022 C conf
Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise.
IDEAL
Jesús Cantero, Adrián Colomer, Laëtitia Launet, Alexandre Duchevet, Théo de la Hogue, Jean-Paul Imbert, Valery Naranjo
2022 — conf
Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data.
IVMSP
Rocío del Amor, Francisco Javier Curieses, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo
2021 J jnl
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI.
CoRR
Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo
2021 J jnl
An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images.
Artif. Intell. Medicine
Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo