Nematollah Kayhan Batmanghelich
Computer Vision and Pattern Recognition · 2008–2018
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it
- Radiology, Nuclear Medicine and Imaging — 19 citations into it
- Artificial Intelligence — 16 citations into it
- Cognitive Neuroscience — 16 citations into it
- Computational Mechanics — 5 citations into it
- Signal Processing — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Nematollah Kayhan Batmanghelich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christos Davatzikos
- Thorsten Joachims
- Dzung L. Pham
- Patrik O. Hoyer
- Mikhail Belkin
- John C. Duchi
- Yong Fan
- Vikas Sindhwani
- Daniel D. Lee
- Mark A. Hall
Who trusts Nematollah Kayhan Batmanghelich overall
Papers from Nematollah Kayhan Batmanghelich's perspective
Ordered by how strongly the researchers Nematollah Kayhan Batmanghelich 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018) — 2,033 citations
- Generative-Discriminative Basis Learning for Medical Imaging (2012) — 76 citations
- Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline (2008) — 530 citations