755 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technical University of DenmarkDK19 papers
- University of CopenhagenDK19 papers
- RigshospitaletDK14 papers
- Hvidovre HospitalDK10 papers
- Stanford UniversityUS6 papers
- University College LondonGB6 papers
- Gentofte HospitalDK5 papers
- Harvard UniversityUS5 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS4 papers
- Cardiff UniversityGB4 papers
- King's College LondonGB4 papers
- Massachusetts General HospitalUS4 papers
41 papers
Shift- and stretch-invariant non-negative matrix factorization with an application to brain tissue delineation in emission tomography data
Anders S. Olsen, Miriam L. Navarro, Claus Svarer +3
Dynamic neuroimaging data, such as emission tomography measurements of radiotracer transport in blood or cerebrospinal fluid, often exhibit diffusion-like properties. These introdu…
Interstellar Ices as Carriers of Supernova Material to the Early Solar System
Martin Bizzarro, Martin Schiller, Jesper Holst +10
Planetary materials show systematic variations in their nucleosynthetic isotope compositions that resonate with orbital distance. The origin of this pattern remains debated, limiti…
Mesoscale tissue properties and electric fields in brain stimulation: Bridging the macroscopic and microscopic scales using layer-specific cortical conductivity
Boshuo Wang, Torge H. Worbs, Minhaj A. Hussain +4
Accurate simulations of electric fields (E-fields) in neural stimulation depend on tissue conductivity representations that link underlying microscopic tissue structure with macros…
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…
Designing and evaluating advanced adaptive randomised clinical trials: a practical guide
Anders Granholm, Aksel Karl Georg Jensen, Theis Lange +3
Background: Advanced adaptive randomised clinical trials are increasingly used. Compared to their conventional counterparts, their flexibility may make them more efficient, increas…
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Sarah de Boer +26
Datasets play a critical role in medical imaging research, yet issues such as label quality, shortcuts, and metadata are often overlooked. This lack of attention may harm the gener…
Agreement of Image Quality Metrics with Radiological Evaluation in the Presence of Motion Artifacts
Elisa Marchetto, Hannah Eichhorn, Daniel Gallichan +2
Purpose: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of commo…
"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts
Hubert D. Zając, Jorge M. N. Ribeiro, Silvia Ingala +6
Artificial Intelligence (AI) repeatedly match or outperform radiologists in lab experiments. However, real-world implementations of radiological AI-based systems are found to provi…
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…
Data harvesting vs data farming: A study of the importance of variation vs sample size in deep learning-based auto-segmentation for breast cancer patients
ES Buhl, E Maae, LW Matthiessen +7
The aim of this study was to investigate the difference in output, when training a model in three different scenarios: a large clinical delineated data set (with 700/78 patients fo…
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Jon Middleton, Marko Bauer, Kaining Sheng +5
The identification and localisation of pathological tissues in medical images continues to command much attention among deep learning practitioners. When trained on abundant datase…
Joint Alignment of Multivariate Quasi-Periodic Functional Data Using Deep Learning
Vi Thanh Pham, Jonas Bille Nielsen, Klaus Fuglsang Kofoed +2
The joint alignment of multivariate functional data plays an important role in various fields such as signal processing, neuroscience and medicine, including the statistical analys…
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Dave Van Veen, Cara Van Uden, Louis Blankemeier +16
Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large langua…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps
Yukiteru Masuda, Ryo Ishikawa, Toru Tanaka +8
Accurate extraction of mitral valve shape from clinical tomographic images acquired in patients has proven useful for planning surgical and interventional mitral valve treatments.…
Higher-order Organization in the Human Brain from Matrix-Based Rényi's Entropy
Qiang Li, Shujian Yu, Kristoffer H Madsen +2
Pairwise metrics are often employed to estimate statistical dependencies between brain regions, however they do not capture higher-order information interactions. It is critical to…
Estimating axon radius using diffusion-relaxation MRI: calibrating a surface-based relaxation model with histology
Muhamed Barakovic, Marco Pizzolato, Chantal M. W. Tax +7
Axon radius is a potential biomarker for brain diseases and a crucial tissue microstructure parameter that determines the speed of action potentials. Diffusion MRI (dMRI) allows no…
ThoughtSource: A central hub for large language model reasoning data
Simon Ott, Konstantin Hebenstreit, Valentin Liévin +6
Large language models (LLMs) such as GPT-4 have recently demonstrated impressive results across a wide range of tasks. LLMs are still limited, however, in that they frequently fail…
Variational Open-Domain Question Answering
Valentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen +1
Retrieval-augmented models have proven to be effective in natural language processing tasks, yet there remains a lack of research on their optimization using variational inference.…
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…
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Oswin Krause +3
Feature-based self-explanatory methods explain their classification in terms of human-understandable features. In the medical imaging community, this semantic matching of clinical…
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
Benjamin Billot, Douglas N. Greve, Oula Puonti +5
Despite advances in data augmentation and transfer learning, convolutional neural networks (CNNs) difficultly generalise to unseen domains. When segmenting brain scans, CNNs are hi…
MSED: a multi-modal sleep event detection model for clinical sleep analysis
Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot +1
Clinical sleep analysis require manual analysis of sleep patterns for correct diagnosis of sleep disorders. However, several studies have shown significant variability in manual sc…
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…