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