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The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LITS) organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2016 andExpand
Three-dimensional localization of ultracold atoms in an optical disordered potential
We report a study of three-dimensional (3D) localization of ultracold atoms suspended against gravity, and released in a 3D optical disordered potential with short correlation lengths in allExpand
Anderson localization of matter waves in tailored disordered potentials
We show that, in contrast to immediate intuition, Anderson localization of noninteracting particles induced by a disordered potential in free space can increase (i.e., the localization length canExpand
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
TLDR
The DeepVesselNet architecture does not use any form of sub-sampling layer and works well for vessel segmentation, centerline prediction, and bifurcation detection, and the results show that cross-hair filters achieve over 23% improvement in speed, lower memory footprint, lower network complexity which prevents overfitting and comparable accuracy that does not differ from full 3-D filters. Expand
Machine learning analysis of whole mouse brain vasculature
TLDR
A deep learning-based framework to quantify and analyze brain vasculature, named Vessel Segmentation & Analysis Pipeline (VesSAP), which uses a convolutional neural network with a transfer learning approach for segmentation and achieves human-level accuracy. Expand
Vortex and Meissner phases of strongly interacting bosons on a two-leg ladder
We establish the phase diagram of the strongly interacting Bose-Hubbard model defined on a two-leg ladder geometry in the presence of a homogeneous flux. Our work is motivated by a recent experimentExpand
Automated analysis of whole brain vasculature using machine learning
TLDR
A deep learning-based framework to quantify and analyze the brain vasculature, named Vessel Segmentation & Analysis Pipeline (VesSAP), which uses a fully convolutional network with a transfer learning approach for segmentation and yields new biological insights related to the vascular brain function. Expand
Spontaneous Increase of Magnetic Flux and Chiral-Current Reversal in Bosonic Ladders: Swimming against the Tide.
The interplay between spontaneous symmetry breaking in many-body systems, the wavelike nature of quantum particles and lattice effects produces an extraordinary behavior of the chiral current ofExpand
Symmetry-broken states in a system of interacting bosons on a two-leg ladder with a uniform Abelian gauge field
We study the quantum phases of bosons with repulsive contact interactions on a two-leg ladder in the presence of a uniform Abelian gauge field. The model realizes many interesting states, includingExpand
Anderson localization of matter waves in correlated disorder : from 1D to 3D
In this thesis we investigate quantum transport and Anderson localization of non- interacting matterwaves in anisotropic disorder. Using microscopic approaches, we study the effect of disorderExpand
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