187 citations · 721 across the 60 of their papers we have counts for
9 papers · 1 filter
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing
Raghavendra Selvan, Jens Petersen, Jesper H. Pedersen +1
Segmenting tree structures is common in several image processing applications. In medical image analysis, reliable segmentations of airways, vessels, neurons and other tree structu…
Early Experiences with Crowdsourcing Airway Annotations in Chest CT
Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo +2
Measuring airways in chest computed tomography (CT) images is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine le…
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks
Gerda Bortsova, Gijs van Tulder, Florian Dubost +5
Intracranial carotid artery calcification (ICAC) is a major risk factor for stroke, and might contribute to dementia and cognitive decline. Reliance on time-consuming manual annota…
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images
Isabel Pino Peña, Veronika Cheplygina, Sofia Paschaloudi +5
A method for automatically quantifying emphysema regions using High-Resolution Computed Tomography (HRCT) scans of patients with chronic obstructive pulmonary disease (COPD) that d…
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network
Florian Dubost, Gerda Bortsova, Hieab Adams +4
We propose a novel convolutional neural network for lesion detection from weak labels. Only a single, global label per image - the lesion count - is needed for training. We train a…
Label Stability in Multiple Instance Learning
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax +2
We address the problem of \emph{instance label stability} in multiple instance learning (MIL) classifiers. These classifiers are trained only on globally annotated images (bags), b…