Publications related to STATISTICAL MODELING OF THE EYE FOR MULTIMODAL TREATMENT PLANNING FOR EXTERNAL BEAM RADIOTHERAPY OF INTRAOCULAR TUMORS

Gaze-Driven approach for estimating luminance values in the field of view for discomfort assessments

Marilyne Andersen, Jan Wienold, Mandana Sarey Khanie

A gaze-driven methodology for discomfort glare was developed and applied for glare evaluation. A series of user assessments were performed in an office-like test laboratory under various lighting conditions. The participants’ gaze responses were recorded b ...

2015

Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma

Jean-Philippe Thiran, Meritxell Bach Cuadra, Raphael Sznitman, Carlos Ciller, Alessia Pica

Purpose: Proper delineation of ocular anatomy in 3-dimensional (3D) imaging is a big challenge, particularly when developing treatment plans for ocular diseases. Magnetic resonance imaging (MRI) is presently used in clinical practice for diagnosis confirma ...

Elsevier Science Inc2015

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras

Jean-Marc Odobez, Kenneth Alberto Funes Mora

We propose a head pose invariant gaze estimation model for distant RGB-D cameras. It relies on a geometric understanding of the 3D gaze action and generation of eye images. By introducing a semantic segmentation of the eye region within a generative proces ...

IEEE2014

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Aurélien Lucchi

Segmenting images is a significant challenge that has drawn a lot of attention from different fields of artificial intelligence and has many practical applications. One such challenge addressed in this thesis is the segmentation of electron microscope (EM) ...

EPFL2013

Statistical Modeling of Spatial Extremes

Anthony Christopher Davison, Simone Padoan

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection. This article reviews recent progress in the ...

Institute of Mathematical Statistics2012

Bivariate Extreme Statistics, Ii

We review the current state of statistical modeling of asymptotically independent data. Our discussion includes necessary and sufficient conditions for asymptotic independence, results on the asymptotic independence of statistics of interest, estimation an ...

2012

3D simulation of the aqueous flow in the human eye

Nikolaos Stergiopoulos, Sylvain Roy, Adan Villamarin, Philippe Reymond, Orestis Vardoulis, Reda Hasballa

Glaucoma results in an increase in the resistance of the aqueous humor outflow, which in turn leads to an increase of the intraocular pressure (IOP). Several treatments are proposed to reduce and stabilize the IOP that include medications, filtering surger ...

Elsevier Sci Ltd2012

Model-based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Fikret Isik Karahanoglu, Alessia Pica

Computed Tomography (CT) represents the standard imaging modality for tumor volume delineation for radiotherapy treatment planning of retinoblastoma despite some inherent limitations. CT scan is very useful in providing information on physical density for ...

Springer2011

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

STATISTICAL MODELING OF THE EYE FOR MULTIMODAL TREATMENT PLANNING FOR EXTERNAL BEAM RADIOTHERAPY OF INTRAOCULAR TUMORS

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Gaze-Driven approach for estimating luminance values in the field of view for discomfort assessments

Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Statistical Modeling of Spatial Extremes

Bivariate Extreme Statistics, Ii

3D simulation of the aqueous flow in the human eye

Model-based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma

Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Statistical Modeling of Spatial Extremes

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Bivariate Extreme Statistics, Ii

3D simulation of the aqueous flow in the human eye

Model-based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning

Gaze-Driven approach for estimating luminance values in the field of view for discomfort assessments