Low-field MRI simulator

The simulator performs three steps: i) reducing spatial resolution, ii) adding noise from real 46mT scans, and iii) matching contrasts

1. Aggarwal, K., Cong, Y., Lee, J.H., Mani, V., Calcagno, C., Holbrook, M.R. and Geethanath, S., Feasibility of textural analysis and very-low-field magnetic resonance for imaging Nipah virus infection. ISMRM Conference Proceeding

2. Aggarwal, K., Cong, Y., Lee, J.H., Mani, V., Calcagno, C., Holbrook, M.R. and Geethanath, S., Feasibility of Nipah virus-induced lesion detection using 0.05 T MRI. ISMRM Conference Proceeding

1. Shocher, A., Cohen, N. and Irani, M., 2018. “zero-shot” super-resolution using deep internal learning. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3118-3126). Article

2. Virtual Scanner Games Heroku