14.3k citations
- Harvard UniversityUS75 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS32 papers
- Massachusetts Institute of TechnologyUS14 papers
- Harvard University PressUS11 papers
- Brigham and Women's HospitalUS8 papers
- German Center for Neurodegenerative DiseasesDE7 papers
- Harvard–MIT Division of Health Sciences and TechnologyUS6 papers
- InsermFR6 papers
- University College LondonGB6 papers
- Boston Children's HospitalUS5 papers
- Boston UniversityUS5 papers
- Centre National de la Recherche ScientifiqueFR5 papers
7 papers · 1 filter
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
Chaofei Fan, Nick Hahn, Foram Kamdar +6
Intracortical brain-computer interfaces (iBCIs) have shown promise for restoring rapid communication to people with neurological disorders such as amyotrophic lateral sclerosis (AL…
TabAttention: Learning Attention Conditionally on Tabular Data
Michal K. Grzeszczyk, Szymon Płotka, Beata Rebizant +6
Medical data analysis often combines both imaging and tabular data processing using machine learning algorithms. While previous studies have investigated the impact of attention me…
AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography
Ruisheng Su, Matthijs van der Sluijs, Sandra Cornelissen +6
Cerebral X-ray digital subtraction angiography (DSA) is the standard imaging technique for visualizing blood flow and guiding endovascular treatments. The quality of DSA is often n…
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI
Santiago Estrada, David Kügler, Emad Bahrami +5
The hypothalamus plays a crucial role in the regulation of a broad range of physiological, behavioural, and cognitive functions. However, despite its importance, only a few small-s…
Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET
Xiaofeng Liu, Thibault Marin, Tiss Amal +3
Background: In medical imaging, images are usually treated as deterministic, while their uncertainties are largely underexplored. Purpose: This work aims at using deep learning to…
An automated, geometry-based method for hippocampal shape and thickness analysis
Kersten Diers, Hannah Baumeister, Frank Jessen +3
The hippocampus is one of the most studied neuroanatomical structures due to its involvement in attention, learning, and memory as well as its atrophy in ageing, neurological, and…