Armin Biller
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
Whom Armin Biller trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Torsten Rohlfing (in Computer Vision and Pattern Recognition)
Who trusts Armin Biller
- Arvid Lundervold (in Computational Mechanics)
Papers from Armin Biller's perspective
Ordered by how strongly the researchers Armin Biller trusts endorse each paper. Same corpus, a different order for every researcher.
- Understanding the difficulty of training deep feedforward neural networks
- Construction of a 3D probabilistic atlas of human cortical structures (NeuroImage)
- Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
- Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
- Ilastik: Interactive learning and segmentation toolkit
- elastix: A Toolbox for Intensity-Based Medical Image Registration (IEEE Transactions on Medical Imaging)
- Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable (IEEE Transactions on Medical Imaging)
- 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network (Magnetic Resonance Imaging)
- Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- R: A language and environment for statistical computing.
Their papers
- Deep MRI brain extraction: A 3D convolutional neural network for skull stripping (2016) — 491 citations