Kaveh Memarzadeh

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaveh Memarzadeh trusts overall

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

  1. Izhar Wallach
  2. Andreas Mayr
  3. Daniel A. Hashimoto

Papers from Kaveh Memarzadeh's perspective

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

  1. DeepTox: Toxicity Prediction using Deep Learning
  2. ImageNet classification with deep convolutional neural networks
  3. Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction
  4. AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
  5. enchmark for molecular machine learning †
  6. Application of Generative Autoencoder in De Novo Molecular Design
  7. druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico. (Molecular Pharmaceutics)
  8. An overview of deep learning in medical imaging focusing on MRI
  9. A deep learning approach to antibiotic discovery (Cell)
  10. Deep Learning in Medicine-Promise, Progress, and Challenges. (JAMA Internal Medicine)

Their papers