172 citations · 331 across the 10 of their papers we have counts for
6 papers · 1 filter
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
Amirreza Mahbod, Philipp Tschandl, Georg Langs +2
Malignant melanoma (MM) is one of the deadliest types of skin cancer. Analysing dermatoscopic images plays an important role in the early detection of MM and other pigmented skin l…
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
Johannes Hofmanninger, Matthias Perkonigg, James A. Brink +3
In medical imaging, technical progress or changes in diagnostic procedures lead to a continuous change in image appearance. Scanner manufacturer, reconstruction kernel, dose, other…
Separation of target anatomical structure and occlusions in chest radiographs
Johannes Hofmanninger, Sebastian Roehrich, Helmut Prosch +1
Chest radiographs are commonly performed low-cost exams for screening and diagnosis. However, radiographs are 2D representations of 3D structures causing considerable clutter imped…
Unsupervised deep clustering for predictive texture pattern discovery in medical images
Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah +1
Predictive marker patterns in imaging data are a means to quantify disease and progression, but their identification is challenging, if the underlying biology is poorly understood.…
Quantifying Residual Motion Artifacts in Fetal fMRI Data
Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning +5
Fetal functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful tool for investigating brain development in utero, holding promise for generating developmental disease…
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
Johannes Hofmanninger, Florian Prayer, Jeanny Pan +3
Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of approaches exist, involving sophisti…