Deep Learning–Based Bathymetry Mapping from Multispectral Satellite Data Around Europa Island
Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria
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Incomplete Hippocampal Inversion (IHI) is an atypical anatomical pattern of the hippocampus that has been associated with several brain disorders (epilepsy, schizophrenia). IHI can be visually detected on coronal T1 weighted MRI images. IHI can be absent, partial or complete (no IHI, partial IHI, IHI). However, visual evaluation can be long and ted...
Real-time Multi-map Saliency-driven Gaze Behavior for Non-conversational Characters
Gaze behavior of virtual characters in video games and virtual reality experiences is a key factor of realism and immersion. Indeed, gaze plays many roles when interacting with the environment; not only does it indicate what characters are looking at, but it also plays an important role in verbal and non-verbal behaviors and in making virtual chara...
Learning with Minimal Effort: Leveraging in Silico Labeling for Cell and Nucleus Segmentation
Deep learning provides us with powerful methods to perform nucleus or cell segmentation with unprecedented quality. However, these methods usually require large training sets of manually annotated images, which are tedious — and expensive — to generate. In this paper we propose to use In Silico Labeling (ISL) as a pretraining scheme for segmentatio...
Self-supervised learning of Split Invariant Equivariant representations
Recent progress has been made towards learning invariant or equivariant representations with self-supervised learning. While invariant methods are evaluated on large scale datasets, equivariant ones are evaluated in smaller, more controlled, settings. We aim at bridging the gap between the two in order to learn more diverse representations that are...
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Joint-Embedding Self Supervised Learning (JE-SSL) has seen a rapid development, with the emergence of many method variations but only few principled guidelines that would help practitioners to successfully deploy them. The main reason for that pitfall comes from JE-SSL's core principle of not employing any input reconstruction therefore lacking vis...
Automatic Grading of Cervical Biopsies by Combining Full and Self-supervision
In computational pathology, predictive models from Whole Slide Images (WSI) mostly rely on Multiple Instance Learning (MIL), where the WSI are represented as a bag of tiles, each of which is encoded by a Neural Network (NN). Slide-level predictions are then achieved by building models on the agglomeration of these tile encodings. The tile encoding ...
Artificial intelligence for protruding lesions
International audience
Non‐invasive on‐site method for thickness measurement of transparent ceramic glazes based on depth from focus
Glazed ceramics are a common material analyzed through geochemistry, whether in the form of tableware collected during excavations or tiles observed as part of architectural features. Within the framework of these studies, measuring the thickness of the transparent glaze is one of the useful variables available for the characterization of the ceram...
Curvilinear Structure Tracking Based on Dynamic Curvature-penalized Geodesics
International audience
