Mehmet Akçakaya
Radiology, Nuclear Medicine and Imaging · 2008–2019
A researcher in the Science corpus: 5 papers; trusts 72 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 89 citations into it
- Computational Mechanics — 43 citations into it; #3,168 of 10,001 by trust here, #8,258 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #8,477 of 21,575 by trust here, #19,310 by citations
- Atomic and Molecular Physics, and Optics — 18 citations into it
- Biomedical Engineering — 17 citations into it
- Artificial Intelligence — 7 citations into it
- Signal Processing — 6 citations into it
Whom Mehmet Akçakaya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ilya Sutskever
- David L. Donoho
- Michael Lustig
- Yoshua Bengio
- Jia Deng
- Kaiming He
- Viren Jain
Who trusts Mehmet Akçakaya overall
Papers from Mehmet Akçakaya's perspective
Ordered by how strongly the researchers Mehmet Akçakaya 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues (2019) — 351 citations
- Time efficient whole-brain coverage with MR Fingerprinting using slice-interleaved echo-planar-imaging (2018) — 35 citations
- Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data (2019) — 360 citations
- Scan-specific Robust Artificial-neural-networks for k-space Interpolation (RAKI) Reconstruction: Database-free Deep Learning for Fast Imaging (2018) — 403 citations
- A Frame Construction and a Universal Distortion Bound for Sparse Representations (2008) — 104 citations