1.4k citations · 3.4k across the 30 of their papers we have counts for
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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn +2
Semantic segmentation neural networks require pixel-level annotations in large quantities to achieve a good performance. In the medical domain, such annotations are expensive, beca…
Deep Clustering Activation Maps for Emphysema Subtyping
Weiyi Xie, Colin Jacobs, Bram van Ginneken
We propose a deep learning clustering method that exploits dense features from a segmentation network for emphysema subtyping from computed tomography (CT) scans. Using dense featu…
Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning
Ecem Sogancioglu, Keelin Murphy, Ernst Th. Scholten +3
Total lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases. In this study, we investigate the performance of several deep-…
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients
Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier +1
Automatic lesion segmentation on thoracic CT enables rapid quantitative analysis of lung involvement in COVID-19 infections. However, obtaining a large amount of voxel-level annota…