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Related publications (27)

Learning Approach to Optical Tomography

Michaël Unser, Cédric René Jean Vonesch, Demetri Psaltis, Ulugbek Kamilov, Alexandre Goy

Optical tomography has been widely investigated for biomedical imaging applications. In recent years optical tomography has been combined with digital holography and has been employed to produce high-quality images of phase objects such as cells. In this p ...

Optical Soc Amer2015

Caenorhabditis elegant segmentation using texture-based models for motility phenotyping

Pascal Fua, Raphael Sznitman, Josué Sznitman

With widening interests in using model organisms for reverse genetic approaches and biomimmetic micro-robotics, motility phenotyping of the nematode Caenorhabditis elegans is expanding across a growing array of locomotive environments. One ongoing bottlene ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Alessandro Daducci

Diffusion MRI is a well established imaging modality providing a powerful way to probe the structure of the white matter non-invasively. Despite its potential, the intrinsic long scan times of these sequences have hampered their use in clinical practice. F ...

Institute of Electrical and Electronics Engineers2014

Practical parallel rendering of detailed neuron simulations

John Anthony Biddiscombe

Parallel rendering of large polygonal models with transparency is challenging due to the need for alpha-correct blending and compositing, which is costly for very large models with high depth complexity and spatial overlap. In this paper we compare the per ...

Eurographics Association2013

Realistic Analytical Phantoms for Parallel Magnetic Resonance Imaging

Michaël Unser, Matthieu Guerquin-Kern

The quantitative validation of reconstruction algorithms requires reliable data. Rasterized simulations are popular but they are tainted by an aliasing component that impacts the assessment of the performance of reconstruction. We introduce analytical simu ...

Institute of Electrical and Electronics Engineers2012

Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks with Learned Shape Features

Pascal Fua, Graham Knott, Radhakrishna Achanta, Kevin Smith, Aurélien Lucchi

It is becoming increasingly clear that mitochondria play an important role in neural function. Recent studies show mitochondrial morphology to be crucial to cellular physiology and synaptic function and a link between mitochondrial defects and neuro-degene ...

Institute of Electrical and Electronics Engineers2012

Photonic and Optoelectronic Devices Based on Mesoscopic Thin Films

Michael Graetzel, Shaik Mohammed Zakeeruddin, Kuppuswamy Kalyanasundaram

Dye-sensitized solar cells (DSCs) are one of the most promising environmental friendly and low material costs photovoltaic devices. DSCs accomplish the separation of the optical absorption and charge separation processes by the association of a sensitizer ...

2011

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