10 citations · 11 across the 3 of their papers we have counts for
3 papers
Understanding the Mechanisms of Deep Transfer Learning for Medical Images
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani +4
The ability to automatically learn task specific feature representations has led to a huge success of deep learning methods. When large training data is scarce, such as in medical…
Filter sharing: Efficient learning of parameters for volumetric convolutions
Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar +2
Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them. In medical applications where training…
An SVM Based Approach for Cardiac View Planning
Ramasubramanian Sundararajan, Hima Patel, Dattesh Shanbhag +1
We consider the problem of automatically prescribing oblique planes (short axis, 4 chamber and 2 chamber views) in Cardiac Magnetic Resonance Imaging (MRI). A concern with technolo…