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Article
Open AccessCombining Image Space and q-Space PDEs for Lossless Compression of Diffusion MR Images
Diffusion MRI is a modern neuroimaging modality with a unique ability to acquire microstructural information by measuring water self-diffusion at the voxel level. However, it generates huge amounts of data, re...
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Article
Open AccessAccurate drusen segmentation in optical coherence tomography via order-constrained regression of retinal layer heights
Drusen are an important biomarker for age-related macular degeneration (AMD). Their accurate segmentation based on optical coherence tomography (OCT) is therefore relevant to the detection, staging, and treatm...
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Article
Molecular-beam spectroscopy with an infinite interferometer: spectroscopic resolution and accuracy
An interferometer with effectively infinite maximum optical path difference removes the dominant resolution limit for interferometric spectroscopy. We present mass-correlated rotational Raman spectra that repr...
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Chapter and Conference Paper
Segmentation Distortion: Quantifying Segmentation Uncertainty Under Domain Shift via the Effects of Anomalous Activations
Domain shift occurs when training U-Nets for medical image segmentation with images from one device, but applying them to images from a different device. This often reduces accuracy, and it poses a challenge f...
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Chapter and Conference Paper
Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography
Low-rank higher-order tensor approximation has been used successfully to extract discrete directions for tractography from continuous fiber orientation density functions (fODFs). However, while it accounts for...
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Article
Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach
Sparse inverse covariance estimation (SICE) is increasingly utilized to estimate inter-subject covariance of FDG uptake (FDGcov) as proxy of metabolic brain connectivity. However, this statistical method suffers ...
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Article
Open AccessErfahrungen mit der digitalen Versorgung von Patienten mit chronischen und akuten Lungenerkrankungen während der SARS-CoV-2-Pandemie
Das Management von Patienten mit respiratorischen Erkrankungen ist seit Beginn der Severe-acute-respiratory-syndrome-coronavirus-2(SARS-CoV-2)-Pandemie durch Maßnahmen zur Infektionsprävention teilweise erschw...
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Article
Smartphone-basierte Fundusfotografie: Anwendungen und Adapter
Die Smartphone-basierte Fundusfotografie (SBF) stellt eine innovative und kostengünstige Möglichkeit zur Bildgebung des Augenhintergrundes dar. Seit den ersten Anwendungsberichten von vor über 10 Jahren wurde ...
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Article
Open AccessMultiple instance learning detects peripheral arterial disease from high-resolution color fundus photography
Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderly leading to excess morbidity and mortality. Early PAD diagnosis is important, as the only available causal t...
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Chapter and Conference Paper
Adaptive Optimization with Fewer Epochs Improves Across-Scanner Generalization of U-Net Based Medical Image Segmentation
The U-Net architecture is widely used for medical image segmentation. However, accuracy has been observed to drop, sometimes dramatically, when U-Nets are trained on images that have been acquired with a speci...
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Chapter
Life Cycles of International Law as a Noetic Unity: The Various Times of Law-Thinking
Different possible temporalities, or life cycles, structure international lawmaking if international law is taken as a noetic unity—a complex whole that is created by an exercise of reason and that does not ex...
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Article
Open AccessT2-Pseudonormalization and Microstructural Characterization in Advanced Stages of Late-infantile Metachromatic Leukodystrophy
T2-weighted signal hyperintensities in white matter (WM) are a diagnostic finding in brain magnetic resonance imaging (MRI) of patients with metachromatic leukodystrophy (MLD). In our systematic investigation ...
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Article
Open AccessAuthor Correction: Replication and Refinement of an Algorithm for Automated Drusen Segmentation on Optical Coherence Tomography
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Chapter and Conference Paper
Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support
Clinical decision support systems (CDSSs) have gained critical importance in clinical practice and research. Machine learning (ML) and deep learning methods are widely applied in CDSSs to provide diagnostic an...
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Chapter and Conference Paper
Lossless PDE-based Compression of 3D Medical Images
Inpainting with Partial Differential Equations (PDEs) has previously been used as a basis for lossy image compression. For medical images, lossless compression is often considered to be safer, given that even ...
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Chapter and Conference Paper
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression
Edge-enhancing diffusion (EED) can reconstruct a close approximation of an original image from a small subset of its pixels. This makes it an attractive foundation for PDE based image compression. In this work...
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Chapter
Empirically Map** Investment Arbitration Scholarship: Networks, Authorities, and the Research Front
Scholarship on international investment arbitration is plentiful. Despite it being a relatively young field, it would be difficult to name one in which more books and articles have been published in recent yea...
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Article
Open AccessReplication and Refinement of an Algorithm for Automated Drusen Segmentation on Optical Coherence Tomography
Here, we investigate the extent to which re-implementing a previously published algorithm for OCT-based drusen quantification permits replicating the reported accuracy on an independent dataset. We refined tha...
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Chapter and Conference Paper
Automated Detection of Diabetic Retinopathy from Smartphone Fundus Videos
Even though it is important to screen patients with diabetes for signs of diabetic retinopathy (DR), doing so comprehensively remains a practical challenge in low- and middle-income countries due to limited re...
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Chapter and Conference Paper
Feature Preserving Smoothing Provides Simple and Effective Data Augmentation for Medical Image Segmentation
CNNs represent the current state of the art for image classification, as well as for image segmentation. Recent work suggests that CNNs for image classification suffer from a bias towards texture, and that red...
