Andreas Horn
Radiology, Nuclear Medicine and Imaging · 2014–2020
A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 86 citations into it
- Cognitive Neuroscience — 73 citations into it
- Neurology — 34 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Geometry and Topology — 8 citations into it
Whom Andreas Horn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John Ashburner
- Olaf Sporns
- Mikail Rubinov
- Michael J Frank
- Brian Patenaude
- Nathalie Tzourio-Mazoyer
- Maxim Zaitsev
- Christopher J. Honey
- Vladimir S Fonov
- Helen S. Mayberg
Papers from Andreas Horn's perspective
Ordered by how strongly the researchers Andreas Horn trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting human resting-state functional connectivity from structural connectivity (Proceedings of the National Academy of Sciences of the United States of America)
- A fast diffeomorphic image registration algorithm (NeuroImage)
- Neurophysiological architecture of functional magnetic resonance images of human brain. (Cerebral Cortex)
- Disrupted small-world networks in schizophrenia. (Brain : a journal of neurology)
- Complex network measures of brain connectivity: Uses and interpretations
- Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
- The Human Connectome: A Structural Description of the Human Brain
- Functional connectivity in the resting brain: A network analysis of the default mode hypothesis (Proceedings of the National Academy of Sciences of the United States of America)
- Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
- Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
Their papers
- Technology of deep brain stimulation: current status and future directions (2020) — 771 citations
- Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging (2018) — 692 citations
- Connectivity Predicts Deep Brain Stimulation Outcome in Parkinson Disease (2017) — 670 citations
- Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity (2016) — 598 citations
- Lead-DBS: A toolbox for deep brain stimulation electrode localizations and visualizations (2015) — 643 citations
- The structural-functional connectome and the default mode network of the human brain (2014) — 344 citations