Ahmad Zaib

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmad Zaib trusts overall

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

  1. Gil Levi

Who trusts Ahmad Zaib overall

  1. V. Seethalakshmi
  2. S. Suganyadevi
  3. K. Balasamy

Papers from Ahmad Zaib's perspective

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

  1. Age and gender classification using convolutional neural networks
  2. Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
  3. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
  4. Towards automatic pulmonary nodule management in lung cancer screening with deep learning (Scientific Reports)
  5. Convolutional Neural Networks for Diabetic Retinopathy
  6. Microscopy cell counting and detection with fully convolutional regression networks (Comput. methods Biomech. Biomed. Eng. Imaging Vis.)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers