M. O. Khairandish

IRBM · 2021

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom M. O. Khairandish trusts overall

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

  1. Fuyong Xing
  2. Hossam H. Sultan
  3. Abdu H. Gumaei
  4. Zeynettin Akkus
  5. Yuanpu Xie
  6. Nancy M. Salem

Papers from M. O. Khairandish's perspective

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

  1. An Automatic Learning-Based Framework for Robust Nucleus Segmentation (IEEE Transactions on Medical Imaging)
  2. A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification (IEEE Access)
  3. A hybrid method for MRI brain image classification (Expert systems with applications)
  4. Brain Tumor Classification Using Convolutional Neural Networks (Biomedical & Pharmacology Journal)
  5. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
  6. Multi-Classification of Brain Tumor Images Using Deep Neural Network (IEEE Access)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. Going deeper with convolutions
  10. Fully convolutional networks for semantic segmentation

Their papers