Ulas Baran Baloglu

Cardiology and Cardiovascular Medicine · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cardiology and Cardiovascular Medicine — 28 citations into it
• Artificial Intelligence — 26 citations into it
• Cognitive Neuroscience — 26 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it

Whom Ulas Baran Baloglu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Özal Yıldırım
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Linda Wang
5. Kaiming He
6. Yann LeCun

Papers from Ulas Baran Baloglu's perspective

Ordered by how strongly the researchers Ulas Baran Baloglu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Automated detection of COVID-19 cases using deep neural networks with X-ray images (2020) — 2,261 citations
• Application of deep transfer learning for automated brain abnormality classification using MR images (2019) — 456 citations
• A new approach for arrhythmia classification using deep coded features and LSTM networks (2019) — 345 citations
• Classification of myocardial infarction with multi-lead ECG signals and deep CNN (2019) — 435 citations