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Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks
Nonlinear image registration continues to be a fundamentally important t...
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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...
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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...
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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...
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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...
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Learning from Pairwise Marginal Independencies
We consider graphs that represent pairwise marginal independencies among...
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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...
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A Hybrid Convolutional Variational Autoencoder for Text Generation
In this paper we explore the effect of architectural choices on learning...
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Recurrent Dropout without Memory Loss
This paper presents a novel approach to recurrent neural network (RNN) r...
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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...
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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...
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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 ...
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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...
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On Accurate Evaluation of GANs for Language Generation
Generative Adversarial Networks (GANs) are a promising approach to langu...
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Practical Access to Dynamic Programming on Tree Decompositions
Parameterized complexity theory has lead to a wide range of algorithmic ...
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Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm
Standard approaches for inference in probabilistic formalisms with first...
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Computing Kernels in Parallel: Lower and Upper Bounds
Parallel fixed-parameter tractability studies how parameterized problems...
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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...
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MicroWalk: A Framework for Finding Side Channels in Binaries
Microarchitectural side channels expose unprotected software to informat...
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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...
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Undermining User Privacy on Mobile Devices Using AI
Over the past years, literature has shown that attacks exploiting the mi...
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On the Descriptive Complexity of Color Coding
Color coding is an algorithmic technique used in parameterized complexit...
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Empowering individual trait prediction using interactions
One component of precision medicine is to construct prediction models wi...
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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...
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Towards Work-Efficient Parallel Parameterized Algorithms
Parallel parameterized complexity theory studies how fixed-parameter tra...
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On Approximate Nonlinear Gaussian Message Passing On Factor Graphs
Factor graphs have recently gained increasing attention as a unified fra...
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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...
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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...
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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...
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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...
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Loop Closure Detection in Closed Environments
Low cost robots, such as vacuum cleaners or lawn mowers employ simplisti...
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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...
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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...
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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...
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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...
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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 ...
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