Constantinos S. Pattichis
Artificial Intelligence · 2002–2020
A researcher in the Science corpus: 9 papers; trusts 155 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 121 citations into it; #21,430 of 35,345 by trust here, #13,353 by citations
- Computer Vision and Pattern Recognition — 97 citations into it; #18,564 of 21,575 by trust here, #18,782 by citations
- Safety, Robustness & Interpretability — 23 citations into it
- Molecular Biology — 17 citations into it
- Biomedical Engineering — 16 citations into it
- Computational Theory and Mathematics — 11 citations into it; #10,489 of 12,182 by trust here, #10,349 by citations
- Media Technology — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Constantinos S. Pattichis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Andreas Holzinger
- Víctor Murray
- Yoshua Bengio
- Marios S. Pattichis
- Karen Simonyan
- Alex Krizhevsky
- Teuvo Kohonen
- Yann LeCun
- Kaiming He
Who trusts Constantinos S. Pattichis overall
- C. Loizou
- Andreas Holzinger
- Víctor Murray
- Upkar Varshney
- Marios S. Pattichis
- Jens Christian Bjerring
Papers from Constantinos S. Pattichis's perspective
Ordered by how strongly the researchers Constantinos S. Pattichis 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Wireless telemedicine systems: an overview (2002) — 430 citations
- Texture-based classification of atherosclerotic carotid plaques (2003) — 335 citations
- AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) — 524 citations
- Integrating Machine Learning with Symbolic Reasoning to Build an Explainable AI Model for Stroke Prediction (2019) — 47 citations
- What do we need to build explainable AI systems for the medical domain? (2017) — 940 citations
- An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging (2012) — 4 citations
- Multiscale Amplitude-Modulation Frequency-Modulation (AM–FM) Texture Analysis of Ultrasound Images of the Intima and Media Layers of the Carotid Artery (2011) — 38 citations
- Multiscale Amplitude-Modulation Frequency-Modulation (AM–FM) Texture Analysis of Multiple Sclerosis in Brain MRI Images (2011) — 109 citations
- Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery (2005) — 345 citations