Arvid Lundervold
Computer Vision and Pattern Recognition · 1992–2018
A researcher in the Science corpus: 7 papers; trusts 992 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 164 citations into it; #10,022 of 21,575 by trust here, #14,478 by citations
- Radiology, Nuclear Medicine and Imaging — 141 citations into it; #523 of 3,265 by trust here, #1,332 by citations
- Artificial Intelligence — 124 citations into it
- Biomedical Engineering — 41 citations into it
- Neurology — 24 citations into it; #162 of 1,455 by trust here, #659 by citations
- Cognitive Neuroscience — 23 citations into it
- Model Architectures — 19 citations into it
- Pulmonary and Respiratory Medicine — 16 citations into it
Whom Arvid Lundervold trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Kaiming He
- Karen Simonyan
- Ilya Sutskever
- Ross B. Girshick
- Diederik P. Kingma
- Radford M. Neal
Who trusts Arvid Lundervold overall
- Florian Tramèr
- Sweta Bhattacharya
- Dan Boneh
- Lei He
- L. Hall
- Bernhard Schölkopf
- Meghavi Rana
- Adam Bohr
- Chunlin Wu
- Praveen Kumar Reddy Maddikunta
Papers from Arvid Lundervold's perspective
Ordered by how strongly the researchers Arvid Lundervold trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- An overview of deep learning in medical imaging focusing on MRI (2018) — 1,959 citations
- Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness (2014) — 296 citations
- Effects of age on volumes of cortex, white matter and subcortical structures. (2005) — 660 citations
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time (2003) — 935 citations
- Segmentation of brain parenchyma and cerebrospinal fluid in multispectral magnetic resonance images (1995)
- Multispectral analysis of the brain using magnetic resonance imaging (1994)
- Multispectral analysis of uterine corpus tumors in magnetic resonance imaging (1992)