Publications related to Large deformation diffeomorphic metric mapping

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Dimitri Nestor Alice Van De Ville, Silvestro Micera, Nawal Noëlle Kinany, Roberto Martuzzi, Elvira Pirondini

The spinal cord is the main interface between the brain and the periphery. It notably plays a central role in motor control, as spinal motoneurons activate skeletal muscles involved in voluntary movements. Yet, the spinal mechanisms underlying human moveme ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Dimitri Nestor Alice Van De Ville, Silvestro Micera, Nawal Noëlle Kinany, Roberto Martuzzi, Elvira Pirondini

The spinal cord is the main interface between the brain and the periphery. It notably plays a central role in motor control, as spinal motoneurons activate skeletal muscles involved in voluntary movements. Yet, the spinal mechanisms underlying human moveme ...

2019

Fast model-based T-2 mapping using SAR-reduced simultaneous multislice excitation

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, José Pedro Rebelo Ferreira Marques

Purpose To obtain whole-brain high-resolution T-2 maps in 2 minutes by combining simultaneous multislice excitation and low-power PINS (power independent of number of slices) refocusing pulses with undersampling and a model-based reconstruction. Methods A ...

WILEY2019

Reconciling Matching Networks of Conceptual Models

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Zoltán Miklós

Conceptual models such as database schemas, ontologies or process models have been established as a means for effective engineering of information systems. Yet, for complex systems, conceptual models are created by a variety of stakeholders, which calls fo ...

2019

Is There an Analog of Nesterov Acceleration for MCMC?

Nicolas Henri Bernard Flammarion, Xiang Cheng

In this paper, we study the problems of principal Generalized Eigenvector computation and Canonical Correlation Analysis in the stochastic setting. We propose a simple and efficient algorithm, Gen-Oja, for these problems. We prove the global convergence of ...

2019

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Alexey Boyarsky, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Jean-Loup Tastet, Alexandre Emmanuel Grandchamp, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHIP experiment will be able to search for new long-lived particles produced in a 400 GeV/c SPS proton beam ...

IOP PUBLISHING LTD2019

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Alexey Boyarsky, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Inar Timiryasov, Jean-Loup Tastet, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV

/c

SPS proton be ...

2019

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach

Roland Siegwart

In many applications, maintaining a consistent dense map of the environment is key to enabling robotic platforms to perform higher level decision making. Several works have addressed the challenge of creating precise dense 3D maps from visual sensors provi ...

2019

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

Pascal Fua, Wei Wang

Each smile is unique: one person surely smiles in different ways (e.g. closing/opening the eyes or mouth). Given one input image of a neutral face, can we generate multiple smile videos with distinctive characteristics? To tackle this one-to-many video gen ...

IEEE2018

A Compressed Sensing Approach for Distribution Matching

Vahid Aref, Mohamad Baker Dia

In this work, we formulate the fixed-length distribution matching as a Bayesian inference problem. Our proposed solution is inspired from the compressed sensing paradigm and the sparse superposition (SS) codes. First, we introduce sparsity in the binary so ...

IEEE2018

Large deformation diffeomorphic metric mapping

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Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Fast model-based T-2 mapping using SAR-reduced simultaneous multislice excitation

Reconciling Matching Networks of Conceptual Models

Is There an Analog of Nesterov Acceleration for MCMC?

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

A Compressed Sensing Approach for Distribution Matching

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Fast model-based T-2 mapping using SAR-reduced simultaneous multislice excitation

Reconciling Matching Networks of Conceptual Models

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

Is There an Analog of Nesterov Acceleration for MCMC?

A Compressed Sensing Approach for Distribution Matching