M. Ahsan

Radiology, Nuclear Medicine and Imaging · Technologies · 2021

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom M. Ahsan trusts overall

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

  1. Robert E. Schapire
  2. Behnam Fahimnia
  3. Luca Brunese
  4. Ezz El-Din Hemdan
  5. Harris Drucker
  6. Ali Narin
  7. Bichen Zheng
  8. Essam H. Houssein
  9. Peter C. Austin
  10. Joseph Sarkis

Who trusts M. Ahsan overall

  1. Zahed Siddique

Papers from M. Ahsan's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Deep Learning
  3. COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images (arXiv.org)
  4. Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
  5. Green supply chain management: A review and bibliometric analysis
  6. Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
  7. Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
  8. Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction
  9. Support vector machines for spam categorization
  10. Some Studies in Machine Learning Using the Game of Checkers

Their papers