Universität Lübeck

∙ Lübeck , Germany ∙ 0 followers

The University of Lübeck is a research university in Lübeck, Northern Germany which focuses almost entirely on medicine and sciences with applications in medicine.

Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks

Nonlinear image registration continues to be a fundamentally important t...
07/25/2019 ∙ by Mattias P. Heinrich, et al. ∙ 4 ∙ share

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Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations

Purpose: Radio-frequency ablations play an important role in the therapy...
07/11/2019 ∙ by Niclas Kath, et al. ∙ 3 ∙ share

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Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures

Virtual reality (VR) training simulators of liver needle insertion in th...
12/05/2017 ∙ by Andre Mastmeyer, et al. ∙ 0 ∙ share

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Image reconstruction with imperfect forward models and applications in deblurring

We present and analyse an approach to image reconstruction problems with...
08/03/2017 ∙ by Yury Korolev, et al. ∙ 0 ∙ share

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Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures

Current virtual reality (VR) training simulators of liver punctures ofte...
07/26/2017 ∙ by Andre Mastmeyer, et al. ∙ 0 ∙ share

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Learning from Pairwise Marginal Independencies

We consider graphs that represent pairwise marginal independencies among...
08/02/2015 ∙ by Johannes Textor, et al. ∙ 0 ∙ share

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Random forests for survival analysis using maximally selected rank statistics

The most popular approach for analyzing survival data is the Cox regress...
05/11/2016 ∙ by Marvin N. Wright, et al. ∙ 0 ∙ share

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A Hybrid Convolutional Variational Autoencoder for Text Generation

In this paper we explore the effect of architectural choices on learning...
02/08/2017 ∙ by Stanislau Semeniuta, et al. ∙ 0 ∙ share

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Recurrent Dropout without Memory Loss

This paper presents a novel approach to recurrent neural network (RNN) r...
03/16/2016 ∙ by Stanislau Semeniuta, et al. ∙ 0 ∙ share

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TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions

Deep convolutional neural networks (DCNN) are currently ubiquitous in me...
01/29/2018 ∙ by Mattias P. Heinrich, et al. ∙ 0 ∙ share

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Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks

Autonomous robots need to interact with unknown, unstructured and changi...
02/22/2018 ∙ by Daniel Tanneberg, et al. ∙ 0 ∙ share

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On the Application of ISO 26262 in Control Design for Automated Vehicles

Research on automated vehicles has experienced an explosive growth over ...
04/12/2018 ∙ by Georg Schildbach, et al. ∙ 0 ∙ share

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A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems

Bio-hybrid systems---close couplings of natural organisms with technolog...
04/18/2018 ∙ by Mostafa Wahby, et al. ∙ 0 ∙ share

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On Accurate Evaluation of GANs for Language Generation

Generative Adversarial Networks (GANs) are a promising approach to langu...
06/13/2018 ∙ by Stanislau Semeniuta, et al. ∙ 0 ∙ share

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Practical Access to Dynamic Programming on Tree Decompositions

Parameterized complexity theory has lead to a wide range of algorithmic ...
06/26/2018 ∙ by Max Bannach, et al. ∙ 0 ∙ share

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Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm

Standard approaches for inference in probabilistic formalisms with first...
07/02/2018 ∙ by Tanya Braun, et al. ∙ 0 ∙ share

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Computing Kernels in Parallel: Lower and Upper Bounds

Parallel fixed-parameter tractability studies how parameterized problems...
07/10/2018 ∙ by Max Bannach, et al. ∙ 0 ∙ share

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DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes

Over the past decade, side-channels have proven to be significant and pr...
08/03/2018 ∙ by Mehmet Sinan Inci, et al. ∙ 0 ∙ share

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MicroWalk: A Framework for Finding Side Channels in Binaries

Microarchitectural side channels expose unprotected software to informat...
08/16/2018 ∙ by Jan Wichelmann, et al. ∙ 0 ∙ share

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Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds

Graph convolutional networks are a new promising learning approach to de...
09/14/2018 ∙ by Lasse Hansen, et al. ∙ 0 ∙ share

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Undermining User Privacy on Mobile Devices Using AI

Over the past years, literature has shown that attacks exploiting the mi...
11/27/2018 ∙ by Berk Gulmezoglu, et al. ∙ 0 ∙ share

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On the Descriptive Complexity of Color Coding

Color coding is an algorithmic technique used in parameterized complexit...
01/10/2019 ∙ by Max Bannach, et al. ∙ 0 ∙ share

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Empowering individual trait prediction using interactions

One component of precision medicine is to construct prediction models wi...
01/25/2019 ∙ by Damian Gola, et al. ∙ 0 ∙ share

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Engineered Self-Organization for Resilient Robot Self-Assembly with Minimal Surprise

In collective robotic systems, the automatic generation of controllers f...
02/14/2019 ∙ by Tanja Katharina Kaiser, et al. ∙ 0 ∙ share

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Towards Work-Efficient Parallel Parameterized Algorithms

Parallel parameterized complexity theory studies how fixed-parameter tra...
02/20/2019 ∙ by Max Bannach, et al. ∙ 0 ∙ share

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On Approximate Nonlinear Gaussian Message Passing On Factor Graphs

Factor graphs have recently gained increasing attention as a unified fra...
03/21/2019 ∙ by Eike Petersen, et al. ∙ 0 ∙ share

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Convolutive Blind Source Separation on Surface EMG Signals for Respiratory Diagnostics and Medical Ventilation Control

The electromyogram (EMG) is an important tool for assessing the activity...
04/08/2019 ∙ by Herbert Buchner, et al. ∙ 0 ∙ share

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Positive-Instance Driven Dynamic Programming for Graph Searching

Research on the similarity of a graph to being a tree - called the treew...
05/03/2019 ∙ by Max Bannach, et al. ∙ 0 ∙ share

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Simultaneous Registration of Image Sequences -- a novel singular value based images similarity measure

The comparison of images is an important task in image processing. For a...
07/22/2019 ∙ by Kai Brehmer, et al. ∙ 0 ∙ share

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Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors

Low cost robots, such as vacuum cleaners or lawn mowers, employ simplist...
08/13/2019 ∙ by Nils Rottmann, et al. ∙ 0 ∙ share

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Loop Closure Detection in Closed Environments

Low cost robots, such as vacuum cleaners or lawn mowers employ simplisti...
08/13/2019 ∙ by Nils Rottmann, et al. ∙ 0 ∙ share

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Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients

Deformable registration continues to be one of the key challenges in med...
09/17/2019 ∙ by Lasse Hansen, et al. ∙ 0 ∙ share

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Learning to map between ferns with differentiable binary embedding networks

Current deep learning methods are based on the repeated, expensive appli...
05/26/2020 ∙ by Max Blendowski, et al. ∙ 0 ∙ share

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Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings

Though, deep learning based medical image registration is currently star...
05/27/2020 ∙ by Lasse Hansen, et al. ∙ 0 ∙ share

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Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies

Multimodal image registration is a very challenging problem for deep lea...
05/28/2020 ∙ by Mattias P. Heinrich, et al. ∙ 0 ∙ share

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Solving Packing Problems with Few Small Items Using Rainbow Matchings

An important area of combinatorial optimization is the study of packing ...
07/06/2020 ∙ by Max Bannach, et al. ∙ 0 ∙ share

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