
Deep autofocus with conebeam CT consistency constraint
High quality reconstruction with interventional Carm conebeam computed...
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MultiChannel Volumetric Neural Network for Knee Cartilage Segmentation in Conebeam CT
Analyzing knee cartilage thickness and strain under load can help to fur...
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Image Quality Assessment for Rigid Motion Compensation
Diagnostic stroke imaging with Carm conebeam computed tomography (CBCT...
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Learning Topometric Semantic Maps from Occupancy Grids
Today's mobile robots are expected to operate in complex environments th...
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Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium EnhancedMRI
Segmentation of the left atrial chamber and assessing its morphology, ar...
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Automated Multisequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
Left ventricle segmentation and morphological assessment are essential f...
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CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention
We perform classification of ancient Roman Republican coins via recogniz...
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Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
Deep learning approaches have shown promising performance for compressed...
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A Multitask Framework for Skin Lesion Detection and Segmentation
Early detection and segmentation of skin lesions is crucial for timely d...
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Multitask Learning for Chest Xray Abnormality Classification on Noisy Labels
Chest Xray (CXR) is the most common Xray examination performed in dail...
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RinQ Fingerprinting: Recurrenceinformed Quantile Networks for Magnetic Resonance Fingerprinting
Recently, Magnetic Resonance Fingerprinting (MRF) was proposed as a quan...
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Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks
Most tumor grading systems for human as for veterinary histopathology ar...
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SemiAutomatic Algorithm for Breast MRI Lesion Segmentation Using MarkerControlled Watershed Transformation
Magnetic resonance imaging (MRI) is an effective imaging modality for id...
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GMMBased Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data
The amount of training data that is required to train a classifier scale...
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Precision Learning: Towards Use of Known Operators in Neural Networks
In this paper, we consider the use of prior knowledge within neural netw...
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Convolutional neural networks that teach microscopes how to image
Deep learning algorithms offer a powerful means to automatically analyze...
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FrangiNet: A Neural Network Approach to Vessel Segmentation
In this paper, we reformulate the conventional 2D Frangi vesselness mea...
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Motion Artifact Detection in Confocal Laser Endomicroscopy Images
Confocal Laser Endomicroscopy (CLE), an optical imaging technique allowi...
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Compressive Online Robust Principal Component Analysis with Optical Flow for Video ForegroundBackground Separation
In the context of online Robust Principle Component Analysis (RPCA) for ...
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Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
We consider an online version of the robust Principle Component Analysis...
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Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality
Particle Swarm Optimization (PSO) is a popular natureinspired metaheur...
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An update on statistical boosting in biomedicine
Statistical boosting algorithms have triggered a lot of research during ...
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Unsupervised Feature Learning for Writer Identification and Writer Retrieval
Deep Convolutional Neural Networks (CNN) have shown great success in sup...
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Boosting Joint Models for Longitudinal and TimetoEvent Data
Joint Models for longitudinal and timetoevent data have gained a lot o...
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ScaleSpace Anisotropic Total Variation for Limited Angle Tomography
This paper addresses streak reduction in limited angle tomography. Altho...
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Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis
Particle Swarm Optimization (PSO) is a natureinspired metaheuristic fo...
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Mixed onebit compressive sensing with applications to overexposure correction for CT reconstruction
When a measurement falls outside the quantization or measurable range, i...
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Realtime Halfway Domain Reconstruction of Motion and Geometry
We present a novel approach for realtime joint reconstruction of 3D sce...
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FaceVR: RealTime Facial Reenactment and Eye Gaze Control in Virtual Reality
We introduce FaceVR, a novel method for gazeaware facial reenactment in...
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Fairness in Academic Course Timetabling
We consider the problem of creating fair course timetables in the settin...
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Controlling false discoveries in highdimensional situations: Boosting with stability selection
Modern biotechnologies often result in highdimensional data sets with m...
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Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator
We examine the Xeon Phi, which is based on Intel's Many Integrated Cores...
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An Evaluation of Popular CopyMove Forgery Detection Approaches
A copymove forgery is created by copying and pasting content within the...
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Validation of hardware events for successful performance pattern identification in High Performance Computing
Hardware performance monitoring (HPM) is a crucial ingredient of perform...
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PVSCDTM: A domainspecific language and matrixfree stencil code for investigating electronic properties of Dirac and topological materials
We introduce PVSCDTM, a highly parallel and SIMDvectorized library and...
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Broadband Multizone Sound Rendering by Jointly Optimizing the Sound Pressure and Particle Velocity
In this paper, a recently proposed approach to multizone sound field syn...
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Scheduling massively parallel multigrid for multilevel Monte Carlo methods
The computational complexity of naive, samplingbased uncertainty quanti...
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Coupled Multiphysics Simulations of Charged Particle Electrophoresis for Massively Parallel Supercomputers
The article deals with the multiphysics simulation of electrokinetic flo...
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An analysis of core and chiplevel architectural features in four generations of Intel server processors
This paper presents a survey of architectural features among four genera...
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More Accurate Recommendations for MethodLevel Changes
During the life span of large software projects, developers often apply ...
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An Algebraic Glimpse at Bunched Implications and Separation Logic
We overview the logic of Bunched Implications (BI) and Separation Logic ...
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The Maximum Dissipation Principle in RigidBody Dynamics with Purely Inelastic Impacts
Formulating a consistent theory for rigidbody dynamics with impacts is ...
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Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels
Achieving optimal program performance requires deep insight into the int...
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An ECMbased energyefficiency optimization approach for bandwidthlimited streaming kernels on recent Intel Xeon processors
We investigate an approach that uses lowlevel analysis and the executio...
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Precoding via Approximate Message Passing with Instantaneous Signal Constraints
This paper proposes a low complexity precoding algorithm based on the re...
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Deep Learning for Sampling from Arbitrary Probability Distributions
This paper proposes a fully connected neural network model to map sample...
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Sequences, yet Functions: The Dual Nature of DataStream Processing
Datastream processing has continuously risen in importance as the amoun...
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HyperHue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Old master drawings were mostly created step by step in several layers u...
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Spectral and Energy Efficient Wireless Powered IoT Networks: NOMA or TDMA?
Wireless powered communication networks (WPCNs), where multiple energyl...
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Online Decomposition of Compressive Streaming Data Using nℓ_1 ClusterWeighted Minimization
We consider a decomposition method for compressive streaming data in the...
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