35 citations · 37 across the 4 of their papers we have counts for
4 papers
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…
Identifying and Categorizing Anomalies in Retinal Imaging Data
Philipp Seeböck, Sebastian Waldstein, Sophie Klimscha +5
The identification and quantification of markers in medical images is critical for diagnosis, prognosis and management of patients in clinical practice. Supervised- or weakly super…