Joris Roels
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View article: Machine Learning Pipeline for Predicting Bone Marrow Edema Along the Sacroiliac Joints on Magnetic Resonance Imaging
Machine Learning Pipeline for Predicting Bone Marrow Edema Along the Sacroiliac Joints on Magnetic Resonance Imaging Open
Objective We aimed to develop and validate a fully automated machine learning (ML) algorithm that predicts bone marrow edema (BME) on a quadrant level in sacroiliac (SI) joint magnetic resonance imaging (MRI). Methods A computer vision wor…
View article: PERK recruits E-Syt1 at ER–mitochondria contacts for mitochondrial lipid transport and respiration
PERK recruits E-Syt1 at ER–mitochondria contacts for mitochondrial lipid transport and respiration Open
The integrity of ER–mitochondria appositions ensures transfer of ions and phospholipids (PLs) between these organelles and exerts crucial effects on mitochondrial bioenergetics. Malfunctions within the ER–mitochondria contacts altering lip…
View article: A Miniaturised, Fully Integrated NDIR CO2 Sensor On-Chip
A Miniaturised, Fully Integrated NDIR CO2 Sensor On-Chip Open
In this paper, we present a fully integrated Non-dispersive Infrared (NDIR) CO2 sensor implemented on a silicon chip. The sensor is based on an integrating cylinder with access waveguides. A mid-IR LED is used as the optical source, and tw…
View article: Cost-efficient segmentation of electron microscopy images using active learning
Cost-efficient segmentation of electron microscopy images using active learning Open
Over the last decade, electron microscopy has improved up to a point that generating high quality gigavoxel sized datasets only requires a few hours. Automated image analysis, particularly image segmentation, however, has not evolved at th…
View article: On-Chip Non-Dispersive Infrared CO2 Sensor Based on an Integrating Cylinder †
On-Chip Non-Dispersive Infrared CO2 Sensor Based on an Integrating Cylinder † Open
In this paper, we propose a novel, miniaturized non-dispersive infrared (NDIR) CO2 sensor implemented on a silicon chip. The sensor has a simple structure, consisting of a hollow metallic cylindrical cavity along with access waveguides. A …
View article: A “Human-in-the-Loop” Approach for Semi-automated Image Restoration in Electron Microscopy
A “Human-in-the-Loop” Approach for Semi-automated Image Restoration in Electron Microscopy Open
The recent advent of 3D in Electron Microscopy (EM) has allowed for detection of detailed sub-cellular nanometer resolution structures. While being a scientific breakthrough, this has also caused an explosion in dataset size, necessitating…
View article: Domain Adaptive Segmentation In Volume Electron Microscopy Imaging
Domain Adaptive Segmentation In Volume Electron Microscopy Imaging Open
In the last years, automated segmentation has become a necessary tool for volume electron microscopy (EM) imaging. So far, the best performing techniques have been largely based on fully supervised encoder-decoder CNNs, requiring a substan…
View article: Raw electron microscopy datasets
Raw electron microscopy datasets Open
All the raw data used in the DenoisEM paper
View article: A miniaturized non-dispersive infrared CO2 sensor based on a 2D integrating cylinder
A miniaturized non-dispersive infrared CO2 sensor based on a 2D integrating cylinder Open
We propose a novel, miniaturized NDIR CO2 sensor based on a 2D integrating cylinder, realized using deep RIE and wafer bonding on silicon. The sensor has a detection limit down to ∼ 250ppm, with a small footprint of only ∼ 5mm × 5mm.
View article: Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization
Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization Open
Microscopy is one of the most essential imaging techniques in life sciences. High-quality images are required in order to solve (potentially life-saving) biomedical research problems. Many microscopy techniques do not achieve sufficient re…
View article: Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy Open
Biological membranes are one of the most basic structures and regions of interest in cell biology. In the study of membranes, segment extraction is a well-known and difficult problem because of impeding noise, directional and thickness var…
View article: Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization
Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization Open
Microscopy is one of the most essential imaging techniques in life sciences. High-quality images are required in order to solve (potentially life-saving) biomedical research problems. Many microscopy techniques do not achieve sufficient re…