Publications related to Introducing Geometry in Active Learning for Image Segmentation

Active Learning of Multi-Index Function Models

We consider the problem of actively learning \textit{multi-index} functions of the form

f(x) = g(Ax)= \sum_{i=1}^k g_i(a_i^Tx)

from point evaluations of

f

. We assume that the function

f

is defined on an

\ell_2

-ball in

\Real^d

,

g

is twice contin ...

2012

Using active learning for monitoring networks design: the example of wind power plants sites evaluation

Devis Tuia, Alexei Pozdnoukhov

Locating new wind farms is of crucial importance for energy policies of the next decade. To select the new location, an accurate picture of the wind fields is necessary. However, characterizing wind fields is a difficult task, since the phenomenon is highl ...

2012

Discovering single classes in remote sensing images with active learning

Devis Tuia

When dealing with supervised target detection, the acquisition of labeled samples is one of the most critical phases: the samples must be yet representative of the class of interest, but must also be found among a vast majority of non-target examples. More ...

2012

Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning

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

Accurate segmentation of lymph nodes in head and neck (H&N) CT images is essential for the radiotherapy planning of the H&N cancer. Atlas-based segmentation methods are widely used for the automated segmentation of such structures. Multi-atlas approaches a ...

Ieee2012

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Benoit Mory

To cope with a variety of clinical applications, research in medical image processing has led to a large spectrum of segmentation techniques that extract anatomical structures from volumetric data acquired with 3D imaging modalities. Despite continuing adv ...

EPFL2011

Drawing with Nanostencils on Flexible Substrates

Jürgen Brugger, Andreea Veronica Savu, Oliver Peric

Nanostencils are used in dynamic mode to pattern on top of flexible substrates. As the stencil is moving during the material evaporation, the obtained structures are the convolution between the stencil trajectory and the apertures’ geometry. Variable-thick ...

2011

On unifying sparsity and geometry for image-based 3D scene representation

Ivana Tosic

Demand has emerged for next generation visual technologies that go beyond conventional 2D imaging. Such technologies should capture and communicate all perceptually relevant three-dimensional information about an environment to a distant observer, providin ...

EPFL2009

A Multimodal Evaluation Method for Medical Image Segmentation

Meritxell Bach Cuadra

Evaluation of segmentation methods is a crucial aspect in image processing, especially in the medical imaging field, where small differences between segmented regions in the anatomy can be of paramount importance. Usually, segmentation evaluation is based ...

2009

Coordination measurements in compacted NaCl irregular powders using X-ray microtomography

Andreas Mortensen

X-ray microtomography and three-dimensional (3D) image analysis are used to quantify the structural evolution during cold isostatic compaction of two irregularly shaped NaCl powders having different mean particle sizes (75 and 400 mu m) and somewhat differ ...

2008

Collaborative Web-based Experimentation in Flexible Engineering Education

Denis Gillet, Anh Vu Nguyen Ngoc

The Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, is deploying a flexible learning scheme for selected pilot courses in engineering education. In such a scheme, traditional lectures and written exercises are combined with addition ...

2005

Introducing Geometry in Active Learning for Image Segmentation

Graph Chatbot

Chat with Graph Search

Active Learning of Multi-Index Function Models

Using active learning for monitoring networks design: the example of wind power plants sites evaluation

Discovering single classes in remote sensing images with active learning

Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Drawing with Nanostencils on Flexible Substrates

On unifying sparsity and geometry for image-based 3D scene representation

A Multimodal Evaluation Method for Medical Image Segmentation

Coordination measurements in compacted NaCl irregular powders using X-ray microtomography

Collaborative Web-based Experimentation in Flexible Engineering Education

Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning

Active Learning of Multi-Index Function Models

Using active learning for monitoring networks design: the example of wind power plants sites evaluation

On unifying sparsity and geometry for image-based 3D scene representation

Discovering single classes in remote sensing images with active learning

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Drawing with Nanostencils on Flexible Substrates

A Multimodal Evaluation Method for Medical Image Segmentation

Coordination measurements in compacted NaCl irregular powders using X-ray microtomography

Collaborative Web-based Experimentation in Flexible Engineering Education