Publications associées à Precision marketing

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Jiancheng Yang, Li Zhang, Zhigang Li, Bo Du

Pulmonary nodules and masses are crucial imaging features in lung cancer screening that require careful management in clinical diagnosis. Despite the success of deep learning-based medical image segmentation, the robust performance on various sizes of lesi ...

Cham2023

Horizontal side-channel full key recovery on ephemeral SIKE

Natacha Yolande Emmanuel Marie Linard de Guertechin, Aymeric Genet, Novak Kaluderovic

This paper describes the first practical single-trace side-channel power analysis of SIKE. The attack exploits the nature of elliptic curve point addition formulas which require the same function to be executed multiple times. We target the three point lad ...

2021

Capsule networks as recurrent models of grouping and segmentation

Michael Herzog, Adrien Christophe Doerig, Bilge Sayim, Mauro Manassi, Lynn Schmittwilken

Classically, visual processing is described as a cascade of local feedforward computations. Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such models can be. However, using visual crowding as a well-controlled challenge, we pre ...

2020

Crowding asymmetries explained by a model of image segmentation

Michael Herzog, Gregory Francis, Adrien Christophe Doerig, Alban Bornet

In crowding, perception of a target deteriorates when neighboring flankers are presented. Flankers close to the fovea deteriorate performance less strongly than flankers presented peripherally, the well-known crowding asymmetries. For example, we presented ...

2017

Michaël Unser, Daniel Andreas Schmitter

We present a new formulation of a shape space containing all continuously defined 2D spline curves up to a similarity transform of a reference shape. We are able to measure a distance between an arbitrary curve and the shape space itself. Our contribution ...

IEEE2015

CAST: An automated segmentation and tracking tool for the analysis of transcriptional kinetics from single-cell time-lapse recordings

Felix Naef, Benjamin Zoller, Damien Lionel Nicolas, Simon Blanchoud, Onur Tidin

Fluorescence and bioluminescence time-lapse imaging allows to investigate a vast range of cellular processes at single-cell or even subcellular resolution. In particular, time-lapse imaging can provide uniquely detailed information on the fine kinetics of ...

Academic Press Inc Elsevier Science2015

Stabilizing patterning in the Drosophila segment polarity network by selecting models in silico

Felix Naef, Jacques Rougemont, Mirko Bischofberger

The segmentation of Drosophila is a prime model to study spatial patterning during embryogenesis. The spatial expression of segment polarity genes results from a complex network of interacting proteins whose expression products are maintained after success ...

Elsevier2010

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Precision marketing

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Horizontal side-channel full key recovery on ephemeral SIKE

Synchrotron-based phase-contrast micro-CT as a tool for understanding pulmonary vascular pathobiology and the 3-D microanatomy of alveolar capillary dysplasia

Capsule networks as recurrent models of grouping and segmentation

Crowding asymmetries explained by a model of image segmentation

Similarity-Based Shape Priors for 2D Spline Snakes

CAST: An automated segmentation and tracking tool for the analysis of transcriptional kinetics from single-cell time-lapse recordings

Stabilizing patterning in the Drosophila segment polarity network by selecting models in silico

Image Compression Using Binary Space Partitioning Trees

Graph Chatbot

Chattez avec Graph Search

Synchrotron-based phase-contrast micro-CT as a tool for understanding pulmonary vascular pathobiology and the 3-D microanatomy of alveolar capillary dysplasia

Horizontal side-channel full key recovery on ephemeral SIKE

Capsule networks as recurrent models of grouping and segmentation

Crowding asymmetries explained by a model of image segmentation

Similarity-Based Shape Priors for 2D Spline Snakes

CAST: An automated segmentation and tracking tool for the analysis of transcriptional kinetics from single-cell time-lapse recordings

Stabilizing patterning in the Drosophila segment polarity network by selecting models in silico

Image Compression Using Binary Space Partitioning Trees