Philips

∙ Amsterdam , Netherlands ∙ 0 followers

Learn more about Philips and how we help improve people's lives through meaningful innovation in the areas of Healthcare, Consumer Lifestyle and Lighting.

CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation

Infarcted brain tissue resulting from acute stroke readily shows up as h...
04/30/2019 ∙ by Jonathan Rubin, et al. ∙ 18 ∙ share

read it
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge

Adaptive intelligence aims at empowering machine learning techniques wit...
04/15/2020 ∙ by Nicola Pezzotti, et al. ∙ 11 ∙ share

read it
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images

Automatic segmentation of anatomical structures with convolutional neura...
03/17/2020 ∙ by Cheryl Sital, et al. ∙ 7 ∙ share

read it
Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks

Accurately forecasting urban development and its environmental and clima...
07/22/2019 ∙ by Adrian Albert, et al. ∙ 5 ∙ share

read it
Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines

We provide preliminary details and formulation of an optimization strate...
07/11/2017 ∙ by Sergio Consoli, et al. ∙ 0 ∙ share

read it
Generating Time-Based Label Refinements to Discover More Precise Process Models

Process mining is a research field focused on the analysis of event data...
05/25/2017 ∙ by Niek Tax, et al. ∙ 0 ∙ share

read it
Mining Process Model Descriptions of Daily Life through Event Abstraction

Process mining techniques focus on extracting insight in processes from ...
05/25/2017 ∙ by Niek Tax, et al. ∙ 0 ∙ share

read it
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit

Our work focuses on the problem of predicting the transfer of pediatric ...
07/16/2017 ∙ by Jonathan Rubin, et al. ∙ 0 ∙ share

read it
Can Pretrained Neural Networks Detect Anatomy?

Convolutional neural networks demonstrated outstanding empirical results...
12/18/2015 ∙ by Vlado Menkovski, et al. ∙ 0 ∙ share

read it
Recognizing Abnormal Heart Sounds Using Deep Learning

The work presented here applies deep learning to the task of automated c...
07/14/2017 ∙ by Jonathan Rubin, et al. ∙ 0 ∙ share

read it
Design and Processing of Invertible Orientation Scores of 3D Images for Enhancement of Complex Vasculature

The enhancement and detection of elongated structures in noisy image dat...
07/07/2017 ∙ by M. H. J. Janssen, et al. ∙ 0 ∙ share

read it
Heuristic Approaches for Generating Local Process Models through Log Projections

Local Process Model (LPM) discovery is focused on the mining of a set of...
10/10/2016 ∙ by Niek Tax, et al. ∙ 0 ∙ share

read it
On Generation of Time-based Label Refinements

Process mining is a research field focused on the analysis of event data...
09/12/2016 ∙ by Niek Tax, et al. ∙ 0 ∙ share

read it
Deeply-Supervised CNN for Prostate Segmentation

Prostate segmentation from Magnetic Resonance (MR) images plays an impor...
03/22/2017 ∙ by Qikui Zhu, et al. ∙ 0 ∙ share

read it
Multiscale Event Detection in Social Media

Event detection has been one of the most important research topics in so...
04/25/2014 ∙ by Xiaowen Dong, et al. ∙ 0 ∙ share

read it
Condensed Memory Networks for Clinical Diagnostic Inferencing

Diagnosis of a clinical condition is a challenging task, which often req...
12/06/2016 ∙ by Aaditya Prakash, et al. ∙ 0 ∙ share

read it
Neural Paraphrase Generation with Stacked Residual LSTM Networks

In this paper, we propose a novel neural approach for paraphrase generat...
10/10/2016 ∙ by Aaditya Prakash, et al. ∙ 0 ∙ share

read it
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language

Semantic roles play an important role in extracting knowledge from text....
06/20/2016 ∙ by Vivek Datla, et al. ∙ 0 ∙ share

read it
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals

Stress can be seen as a physiological response to everyday emotional, me...
11/15/2017 ∙ by Aaqib Saeed, et al. ∙ 0 ∙ share

read it
Designing virus-resistant, high-performance networks: a game-formation approach

Designing an optimal network topology while balancing multiple, possibly...
08/19/2017 ∙ by Stojan Trajanovski, et al. ∙ 0 ∙ share

read it
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference

We present a novel deep learning architecture to address the natural lan...
02/15/2018 ∙ by Reza Ghaeini, et al. ∙ 0 ∙ share

read it
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks

The MIMIC-CXR dataset is (to date) the largest publicly released chest x...
04/20/2018 ∙ by Jonathan Rubin, et al. ∙ 0 ∙ share

read it
Maximum weight spectrum codes with reduced length

A q-ary linear code of dimension k is called a maximum weight spectrum (...
06/14/2018 ∙ by Gérard D. Cohen, et al. ∙ 0 ∙ share

read it
Minimum Labelling bi-Connectivity

A labelled, undirected graph is a graph whose edges have assigned labels...
07/02/2018 ∙ by Josè Andrès Moreno Pèrez, et al. ∙ 0 ∙ share

read it
Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable

In this paper we study the prediction of heart rate from acceleration us...
06/25/2018 ∙ by Ryan McConville, et al. ∙ 0 ∙ share

read it
Learning behavioral context recognition with multi-stream temporal convolutional networks

Smart devices of everyday use (such as smartphones and wearables) are in...
08/27/2018 ∙ by Aaqib Saeed, et al. ∙ 0 ∙ share

read it
Patient Subtyping with Disease Progression and Irregular Observation Trajectories

Patient subtyping based on temporal observations can lead to significant...
10/21/2018 ∙ by Nikhil Galagali, et al. ∙ 0 ∙ share

read it
Clinical Concept Extraction with Contextual Word Embedding

Automatic extraction of clinical concepts is an essential step for turni...
10/24/2018 ∙ by Henghui Zhu, et al. ∙ 0 ∙ share

read it
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss

We present a fully convolutional neural network for segmenting ischemic ...
11/02/2018 ∙ by S. Mazdak Abulnaga, et al. ∙ 0 ∙ share

read it
Evolutionary Construction of Convolutional Neural Networks

Neuro-Evolution is a field of study that has recently gained significant...
01/02/2019 ∙ by Marijn van Knippenberg, et al. ∙ 0 ∙ share

read it
Learning a sparse database for patch-based medical image segmentation

We introduce a functional for the learning of an optimal database for pa...
06/25/2019 ∙ by Moti Freiman, et al. ∙ 0 ∙ share

read it
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI

The quantification of myocardial perfusion MRI has the potential to prov...
07/27/2019 ∙ by Cian M. Scannell, et al. ∙ 0 ∙ share

read it
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging

Limitations on bandwidth and power consumption impose strict bounds on d...
08/15/2019 ∙ by Iris A. M. Huijben, et al. ∙ 0 ∙ share

read it
Perceptual Image Anomaly Detection

We present a novel method for image anomaly detection, where algorithms ...
09/12/2019 ∙ by Nina Tuluptceva, et al. ∙ 0 ∙ share

read it
Continual Learning for Domain Adaptation in Chest X-ray Classification

Over the last years, Deep Learning has been successfully applied to a br...
01/16/2020 ∙ by Matthias Lenga, et al. ∙ 0 ∙ share

read it
Service Selection using Predictive Models and Monte-Carlo Tree Search

This article proposes a method for automated service selection to improv...
02/12/2020 ∙ by Cliff Laschet, et al. ∙ 0 ∙ share

read it
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model

We propose a hybrid controllable image generation method to synthesize a...
02/17/2020 ∙ by Samaneh Abbasi-Sureshjani, et al. ∙ 0 ∙ share

read it

Philips

Featured Researchers