Publications by Daniel Andreas Schmitter

Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution

Michaël Unser, Julien René Pierre Fageot, Pablo Garcia-Amorena Garcia, Daniel Andreas Schmitter, Anaïs Laure Marie-Thérèse Badoual

In applications that involve interactive curve and surface modeling, the intuitive manipulation of shapes is crucial. For instance, user interaction is facilitated if a geometrical object can be manipulated through control points that interpolate the shape ...

2017

System and Method for Defining Watertight and Locally Refinable Surfaces with Interpolatory Control Points

Michaël Unser, Daniel Andreas Schmitter, Masih Nilchian

A method for creating a watertight boundary between two graphical elements including the steps of displaying a first surface having a first shape and a second surface having a second shape on the display, an open space existing between the first surface an ...

2017

A Family of Smooth and Interpolatory Basis Functions for Parametric Curve and Surface Representation

Michaël Unser, Daniel Andreas Schmitter, Ricard Delgado Gonzalo

Interpolatory basis functions are helpful to specify parametric curves or surfaces that can be modified by simple user-interaction. Their main advantage is a characterization of the object by a set of control points that lie on the shape itself (i.e., curv ...

2016

An Inner-Product Calculus for Periodic Functions and Curves

Michaël Unser, Daniel Andreas Schmitter, Anaïs Laure Marie-Thérèse Badoual

Our motivation is the design of efficient algorithms to process closed curves represented by basis functions or wavelets. To that end, we introduce an inner-product calculus to evaluate correlations and

L _{ 2 }

distances between such curves. In partic ...

2016

Local Refinement for 3D Deformable Parametric Surfaces

Michaël Unser, Daniel Andreas Schmitter, Anaïs Laure Marie-Thérèse Badoual

Biomedical image segmentation is an active field of research where deformable models have proved to be efficient. The geometric representation of such models determines their ability to approximate the shape of interest as well as the speed of convergence ...

IEEE2016

Smoothly Deformable Spheres: Modeling, Deformation, and Interaction

Michaël Unser, Pablo Garcia-Amorena Garcia, Daniel Andreas Schmitter

Existing shape models with spherical topology are typically designed either in the discrete domain using interpolating polygon meshes or in the continuous domain using smooth but non-interpolating schemes such as NURBS. Polygon models and subdivision metho ...

ACM2016

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Reto Meuli, Alessandro Daducci, Cristina Granziera, Daniel Andreas Schmitter, Gunnar Krüger, Alexis Roche, Ahmed Abdulkadir

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer’s disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and e ...

Elsevier2015

Analysis of S. pombe SIN protein association to the SPB reveals two genetically separable states of the SIN

Michaël Unser, Daniel Sage, Jacques Rougemont, Viesturs Simanis, Andrea Krapp, Daniel Andreas Schmitter, Anastasia Chasapi, Ioannis Xenarios

The Schizosaccharomyces pombe septation initiation network (SIN) regulates cytokinesis, and asymmetric association of SIN proteins with the mitotic spindle pole bodies (SPBs) is important for its regulation. Here, we have used semi-automated image analysis ...

Company Of Biologists Ltd2015

A Multi-Contrast MRI Study of Microstructural Brain Damage in Patients with Mild Cognitive Impairment

Meritxell Bach Cuadra, Reto Meuli, Alessandro Daducci, Cristina Granziera, Daniel Andreas Schmitter, Alexis Roche, Guillaume Bonnier

Objectives: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). Methods: Forty-two MCI patients and 77 healthy co ...

Elsevier2015

Locally Refinable Parametric Snakes

Michaël Unser, Daniel Andreas Schmitter, Anaïs Laure Marie-Thérèse Badoual

Shape segmentation is an active field of research in biomedical imaging. In this context, we present a new parameterization of a snake that is locally refinable. We introduce the possibility of locally increasing the approximation power of the parametric m ...

IEEE2015

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Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution

System and Method for Defining Watertight and Locally Refinable Surfaces with Interpolatory Control Points

A Family of Smooth and Interpolatory Basis Functions for Parametric Curve and Surface Representation

An Inner-Product Calculus for Periodic Functions and Curves

Local Refinement for 3D Deformable Parametric Surfaces

Smoothly Deformable Spheres: Modeling, Deformation, and Interaction

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

Analysis of S. pombe SIN protein association to the SPB reveals two genetically separable states of the SIN

A Multi-Contrast MRI Study of Microstructural Brain Damage in Patients with Mild Cognitive Impairment

Locally Refinable Parametric Snakes

Smoothly Deformable Spheres: Modeling, Deformation, and Interaction

Local Refinement for 3D Deformable Parametric Surfaces

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

Locally Refinable Parametric Snakes

System and Method for Defining Watertight and Locally Refinable Surfaces with Interpolatory Control Points

Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution

A Family of Smooth and Interpolatory Basis Functions for Parametric Curve and Surface Representation

An Inner-Product Calculus for Periodic Functions and Curves

A Multi-Contrast MRI Study of Microstructural Brain Damage in Patients with Mild Cognitive Impairment

Analysis of S. pombe SIN protein association to the SPB reveals two genetically separable states of the SIN