Zohaib Iqbal

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it

Whom Zohaib Iqbal trusts overall

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

1. Yann LeCun

Papers from Zohaib Iqbal's perspective

Ordered by how strongly the researchers Zohaib Iqbal 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Fully convolutional networks for semantic segmentation
7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
8. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
9. Learning Deconvolution Network for Semantic Segmentation
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• 3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture (2018) — 324 citations
• A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning (2017) — 348 citations