Thesis: Spatial & Temporal Analysis of fMRI

  • Deep Learning
  • deep neural network models, deep convolutional neural networks(CNN), deep reinforcement learning, deep recurrent neural networks(RNN), etc
  • Big Data solutions
  • including hadoop, spark, etc
  • Machine Leraning Algorithms
  • clustering, dictionary learning and sparse coding, etc

Internships:

Siemens Healthineers, May-August, 2017:
    Cross Modality Synthesis: MR to CT
  • Publication in MICCAI 2018
  • Patent Filed

Siemens Healthineers, May-August, 2018:
    Deep Reinforcement Learning: MR landmark detection
  • Publication & Patent preparation