2 citations · 3 across the 5 of their papers we have counts for
5 papers
Latent Enhancing AutoEncoder for Occluded Image Classification
Ketan Kotwal, Tanay Deshmukh, Preeti Gopal
Large occlusions result in a significant decline in image classification accuracy. During inference, diverse types of unseen occlusions introduce out-of-distribution data to the cl…
Low radiation tomographic reconstruction with and without template information
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
Low-dose tomography is highly preferred in medical procedures for its reduced radiation risk when compared to standard-dose Computed Tomography (CT). However, the lower the intensi…
Tomographic reconstruction to detect evolving structures
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, i…
Learning from past scans: Tomographic reconstruction to detect new structures
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, p…
Tomographic Reconstruction using Global Statistical Prior
Preeti Gopal, Ritwick Chaudhry, Sharat Chandran +2
Recent research in tomographic reconstruction is motivated by the need to efficiently recover detailed anatomy from limited measurements. One of the ways to compensate for the incr…