Hayit Greenspan

Computer Vision and Pattern Recognition · 1994–2022

A researcher in the Science corpus: 18 papers; trusts 275 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 209 citations into it; #4,132 of 21,575 by trust here, #3,124 by citations
• Artificial Intelligence — 148 citations into it; #13,004 of 35,345 by trust here, #3,895 by citations
• Radiology, Nuclear Medicine and Imaging — 139 citations into it; #179 of 3,265 by trust here, #188 by citations
• Biomedical Engineering — 30 citations into it
• Biophysics — 21 citations into it
• Model Architectures — 21 citations into it
• Media Technology — 16 citations into it
• Optimization & Training — 12 citations into it

Whom Hayit Greenspan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Ilya Sutskever
6. Yoshua Bengio
7. Yaniv Bar
8. Diederik P. Kingma
9. Andrew Zisserman
10. Jia Deng

Who trusts Hayit Greenspan overall

1. Saeed Anwar
2. Chaopeng Shen
3. Younghyun Jo
4. Chi-Hieu Pham
5. Maria Murgasova
6. Nick Barnes
7. Ozan Oktay
8. Faisal Mahmood
9. Laurent Itti
10. E.J. Candes

Papers from Hayit Greenspan's perspective

Ordered by how strongly the researchers Hayit Greenspan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Finding Pictures of Objects in Large Collections of Images (1996)
• Synthetic data augmentation using GAN for improved liver lesion classification (2018) — 847 citations
• Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying (2002) — 1,653 citations
• The Liver Tumor Segmentation Benchmark (LiTS) (2019) — 1,500 citations
• GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification (2018) — 1,883 citations
• Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis (2020) — 824 citations
• Content-Based Image Retrieval in Radiology: Current Status and Future Directions (2010) — 402 citations
• Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (2017) — 432 citations
• RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning (2022) — 389 citations
• A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises (2020) — 1,021 citations
• Convolutional Neural Networks for Radiologic Images: A Radiologist's Guide. (2019) — 469 citations
• Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique (2016) — 842 citations
• Chest pathology detection using deep learning with non-medical training (2015) — 370 citations
• Deep learning with non-medical training used for chest pathology identification (2015) — 325 citations
• Super-Resolution in Medical Imaging (2009) — 601 citations
• An efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures (2003) — 508 citations
• MRI Inter-slice Reconstruction Using Super-Resolution (2001) — 350 citations
• Overcomplete steerable pyramid filters and rotation invariance (1994)