Hessam Sokooti

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #14,498 of 21,575 by trust here, #10,334 by citations
• Radiology, Nuclear Medicine and Imaging — 10 citations into it; #1,618 of 3,265 by trust here, #1,444 by citations

Whom Hessam Sokooti trusts overall

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

1. Shun Miao
2. Rui Liao
3. Konstantinos Kamnitsas
4. Z. J. Wang
5. Xiao Yang

Who trusts Hessam Sokooti overall

1. Guha Balakrishnan
2. Amy Zhao
3. Shengyu Zhao
4. Grant Haskins
5. Adrian V. Dalca
6. Maciej A. Mazurowski
7. Boah Kim
8. Xiaohuan Cao
9. Siyuan Shan
10. Xuxin Chen

Papers from Hessam Sokooti's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Fully convolutional networks for semantic segmentation
3. Spatial Transformer Networks
4. ImageNet classification with deep convolutional neural networks
5. Network In Network
6. Automatic differentiation in PyTorch
7. Gradient-based learning applied to document recognition
8. A CNN Regression Approach for Real-Time 2D/3D Registration (IEEE Transactions on Medical Imaging)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Fast Predictive Image Registration

Their papers

• Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks (2017) — 424 citations
• A deep learning framework for unsupervised affine and deformable image registration (2018) — 778 citations