164 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Copenhagen University HospitalDK10 papers
- Technical University of DenmarkDK8 papers
- University of CopenhagenDK8 papers
- Bispebjerg HospitalDK5 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS3 papers
- Harvard UniversityUS3 papers
- University College LondonGB3 papers
- Eindhoven University of TechnologyNL2 papers
- Erasmus MCNL2 papers
- Massachusetts General HospitalUS2 papers
- University of NottinghamGB2 papers
- Aarhus UniversityDK1 paper
14 papers
Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography
Maxime Descoteaux, Kurt G. Schilling, Dogu Baran Aydogan +44
In the spirit of the historic Millennium Prize Problems that heralded a new era for mathematics, the newly formed International Society for Tractography (IST) has launched the Mill…
Building an AI Support Tool for Real-time Ulcerative Colitis Diagnosis
Bjørn Leth Møller, Bobby Zhao Sheng Lo, Johan Burisch +4
Ulcerative Colitis (UC) is a chronic inflammatory bowel disease decreasing life quality through symptoms such as bloody diarrhoea and abdominal pain. Endoscopy is a cornerstone of…
Precision Measurement of the Excited State Landé g-factor and Diamagnetic Shift of the Cesium D Line
Hans Stærkind, Kasper Jensen, Jörg H. Müller +3
We have performed saturated absorption spectroscopy on the cesium D line in 3 T and 7 T magnetic fields. By means of sideband spectroscopy on the extreme angular momentum sta…
Double diffusion encoding and applications for biomedical imaging
Rafael N. Henriques, Marco Palombo, Sune N. Jespersen +3
Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of…
Detection of biological signals from a live mammalian muscle using a diamond quantum sensor
James Luke Webb, Luca Troise, Nikolaj Winther Hansen +12
The ability to perform noninvasive, non-contact measurements of electric signals produced by action potentials is essential in biomedicine. A key method to do this is to remotely s…
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Stefano Cerri, Oula Puonti, Dominik S. Meier +4
Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple s…
Probabilistic Spatial Transformer Networks
Pola Schwöbel, Frederik Warburg, Martin Jørgensen +2
Spatial Transformer Networks (STNs) estimate image transformations that can improve downstream tasks by `zooming in' on relevant regions in an image. However, STNs are hard to trai…
Accessibility of Cortical Regions to Focal TES: Dependence on Spatial Position, Safety, and Practical Constraints
Guilherme Bicalho Saturnino, Hartwig Roman Siebner, Axel Thielscher +1
Transcranial electric stimulation (TES) can modulate intrinsic neural activity in the brain by injecting weak currents through electrodes attached to the scalp. TES has been widely…
Learning to quantify emphysema extent: What labels do we need?
Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen +2
Accurate assessment of pulmonary emphysema is crucial to assess disease severity and subtype, to monitor disease progression and to predict lung cancer risk. However, visual assess…
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning
Mikael Agn, Per Munck af Rosenschöld, Oula Puonti +7
In this paper we present a method for simultaneously segmenting brain tumors and an extensive set of organs-at-risk for radiation therapy planning of glioblastomas. The method comb…
Deep Learning from Label Proportions for Emphysema Quantification
Gerda Bortsova, Florian Dubost, Silas Ørting +5
We propose an end-to-end deep learning method that learns to estimate emphysema extent from proportions of the diseased tissue. These proportions were visually estimated by experts…
Probabilistic PARAFAC2
Philip J. H. Jørgensen, Søren F. V. Nielsen, Jesper L. Hinrich +3
The PARAFAC2 is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable observation units, for example because of difference…
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans
Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina +3
Supervised feature learning using convolutional neural networks (CNNs) can provide concise and disease relevant representations of medical images. However, training CNNs requires a…
Diffusion imaging with stimulated echoes: signal models and experiment design
Daniel C. Alexander, Tim B. Dyrby
Purpose: Stimulated echo acquisition mode (STEAM) diffusion MRI can be advantageous over pulsed-gradient spin-echo (PGSE) for diffusion times that are long compared to $\ttwo$. It…