Publications

Computer Vision and Pattern Recognition

Self-supervised multi-image super-resolution for push-frame satellite images

Recent constellations of optical satellites are adopting multi-image super-resolution (MISR) from bursts of push-frame images as a way to increase the resolution and reduce the noise of their products while maintaining a lower cost of operation…

Ngoc Long Nguyen, Jeremy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021) - 2021

Image Processing

A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms

Qiyu Jin, Yu Guo, Jean-Michel Morel, Gabriele Facciolo

Image Processing On Line - 2021

Mathematics

Solitary-wave loads on a three-dimensional submerged horizontal plate: Numerical computations and comparison with experiments

Tian Geng, Hua Liu, Frederic Dias

Physics of Fluids - 2021

Life Sciences

A novel case of cribriform neuroepithelial tumor: A potential diagnostic pitfall in the ventricular system

Arnault Tauziède-Espariat, Léa Guerrini-Rousseau, Stéphanie Puget, Julien Masliah-Planchon, Franck Bourdeaut, Lauren Hasty, Jacques Grill, Volodia Dangouloff-Ros, Nathalie Boddaert, Fabrice Chrétien, Emmanuèle Lechapt, Christelle Dufour, Pascale Varlet

Pediatric Blood and Cancer - 2021

Psychology

Dreamlike and playful virtual environments to Inspire children’s divergent thinking

Computers have long been seen as possible tools to foster creativity in children. In this respect, virtual environments present an interesting potential to support idea generation but also to steer it in relevant directions. A total of 96 school…

Jérôme Guegan, Claire Brechet, Julien Nelson

Journal of Media Psychology - 2021

Neurons and Cognition

Object Detection Improves Tumour Segmentation in MR Images of Rare Brain Tumours

Tumour lesion segmentation is a key step to study and characterise cancer from MR neuroradiological images. Presently, numerous deep learning segmentation architectures have been shown to perform well on the specific tumour type they are trained on …

Hamza Chegraoui, Cathy Philippe, Volodia Dangouloff-Ros, Antoine Grigis, Raphael Calmon, Nathalie Boddaert, Frédérique Frouin, Jacques Grill, Vincent Frouin

Cancers - 2021

Life Sciences

Deciphering the genetic and epigenetic landscape of pediatric bithalamic tumors

Arnault Tauziède-Espariat, Marie‐anne Debily, David Castel, Jacques Grill, Stéphanie Puget, Alexandre Roux, Raphaël Saffroy, Guillaume Gauchotte, Ellen Wahler, Lauren Hasty, Fabrice Chrétien, Emmanuèle Lechapt, Volodia Dangouloff-Ros, Nathalie Boddaert, Philipp Sievers, Pascale Varlet

Brain Pathology - 2021

Computation and Language

Unsupervised and self-supervised deep learning approaches for biomedical text mining

Abstract Biomedical scientific literature is growing at a very rapid pace, which makes increasingly difficult for human experts to spot the most relevant results hidden in the papers. Automatized information extraction tools based on text mining…

Mohamed Nadif, François Role

Briefings in Bioinformatics - 2021

Life Sciences

Radiogenomics of diffuse intrinsic pontine gliomas (DIPGs): correlation of histological and biological characteristics with multimodal MRI features

The diffuse intrinsic pontine gliomas (DIPGs) are now defined by the type of histone H3 mutated at lysine 27. We aimed to correlate the multimodal MRI features of DIPGs, H3K27M mutant, with their histological and molecular characteristics.

Raphaël Calmon, Volodia Dangouloff-Ros, Pascale Varlet, Christophe Deroulers, Cathy Philippe, Marie-Anne Debily, David Castel, Kevin Beccaria, Thomas Blauwblomme, David Grevent, Raphael Levy, Charles-Joris Roux, Yvonne Purcell, Ana Saitovitch, Monica Zilbovicius, Christelle Dufour, Stéphanie Puget, Jacques Grill, Nathalie Boddaert

European Radiology - 2021

Psychology and behavior

Multi-modal Physiological Signals based Fear of Heights Analysis in Virtual Reality Scenes

Fear of heights (FoH) analysis and its association to physiological signals can better help understand people's emotion and quantify human's behaviour, which have been found important in many applications, such as disease analysis, affective…

Runze Zheng, Tianlei Wang, Jiuwen Cao, Pierre-Paul Vidal, Danping Wang

Biomedical Signal Processing and Control - 2021