Antonios Makropoulos
Radiology, Nuclear Medicine and Imaging · 2014–2017
A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 105 citations into it
- Cognitive Neuroscience — 95 citations into it
- Computer Vision and Pattern Recognition — 59 citations into it
- Pediatrics, Perinatology and Child Health — 23 citations into it
- Artificial Intelligence — 11 citations into it
- Aerospace Engineering — 5 citations into it
Whom Antonios Makropoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen M. Smith
- Bruce Fischl
- Matthew F. Glasser
- David W. Shattuck
- Maria Murgasova
- Olaf Sporns
- Nicholas J. Tustison
- Alex Krizhevsky
- Simon Keith Warfield
- Rahul Desikan
Who trusts Antonios Makropoulos overall
Papers from Antonios Makropoulos's perspective
Ordered by how strongly the researchers Antonios Makropoulos trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
- Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
- Complex brain networks: graph theoretical analysis of structural and functional systems
- Correspondence of the brain's functional architecture during activation and rest
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Human Connectome: A Structural Description of the Human Brain
- Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
- Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
- Advances in functional and structural MR image analysis and implementation as FSL.
Their papers
- The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction (2017) — 527 citations
- A review on automatic fetal and neonatal brain MRI segmentation (2017) — 207 citations
- Multimodal Surface Matching with Higher-Order Smoothness Constraints☆ (2017) — 312 citations
- Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex (2017) — 350 citations
- Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain (2014) — 388 citations