Concept

Aide au diagnostic médical

Publications associées (190)

On Improving Face Detection Performance by Modelling Contextual Information

In this paper we present a new method to enhance object detection by removing false alarms and merging multiple detections in a principled way with few parameters. The method models the output of an object classiï¬er which we consider as the context. A hie ...

Idiap2010

Real-Time Recognition of Feedback Error-Related Potentials during a Time-Estimation Task

Inaki Asier Iturrate Gil

Feedback error-related potentials are a promising brain process in the field of rehabilitation since they are related to human learning. Due to the fact that many therapeutic strategies rely on the presentation of feedback stimuli, potentials generated by ...

2010

Fast Keypoint Recognition using Random Ferns

Pascal Fua, Vincent Lepetit, Michael Calonder, Mustafa Özuysal

While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. In this paper, we show that formulating the problem in ...

2010

Automatic quality assessment for multi-slice 2D FLAIR MR imaging

Jean-Philippe Thiran, Reto Meuli

Many clinical MRI protocols use the fluid attenuated inversion recovery (FLAIR) contrast to better delineate tissue abnormalities such as white matter lesions. Most FLAIR protocols acquire data in a 2D fashion. FLAIR images are often degraded by patient mo ...

2010

The TA2 Database - A Multi-Modal Database from Home Entertainment

Petr Motlicek, Danil Korchagin

This paper presents a new database containing high-definition audio and video recordings in a rather unconstrained video-conferencing-like environment. The database consists of recordings of people sitting around a table in two separate rooms communicating ...

Idiap2010

Semi-Supervised Segmentation based on Non-local Continuous Min-Cut

Jean-Philippe Thiran, Xavier Bresson, Nawal Houhou

We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentation process is performed via energy minimization. The proposed energy is comp ...

Springer2009

Classification of magnetic resonance images from rabbit renal perfusion

Dominique Bonvin, Michael Amrhein, Pamandeep Singh Gujral

The feasibility of using chemometric techniques for the automatic detection of whether a rabbit kidney is pathological or not is studied. Sequential images of the kidney are acquired using Dynamic Contrast-Enhanced Magnetic Resonance Imaging with contrast ...

2009

Exporting Contours to DICOM-RT Structure Set

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

This paper presents an ITK implementation for exporting the contours of the automated segmentation results to DICOM-RT Structure Set format. The “radiotherapy structure set” (RTSTRUCT) object of the DICOM standard is used for the transfer of patient struct ...

2009

Implementation of an automated ECG-based diagnosis for a wireless body sensor platform

Giovanni De Micheli, David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled, Laura Gutiérrez Martín

Wireless Body Sensor Networks (WBSN) are poised to become a key enabling technology of personal systems for pervasive healthcare. Recent results have however shown that the conventional approach to their design, which consists in continuous wireless stream ...

Springer2009

Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems

Pascal Fua, François Fleuret, Jérôme Berclaz, Seyed Ali Shahrokni

In this paper, we evaluate the Probabilistic Occupancy Map (POM) pedestrian detection algorithm on the PETS 2009 benchmark dataset. POM is a multi-camera generative detection method, which estimates ground plane occupancy from multiple background subtracti ...

2009

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search