Laëtitia Launet

According to our database, Laëtitia Launet authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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, 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

Comput. Methods Programs Biomed., 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

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 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

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 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

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

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