20 citations · 20 across the 4 of their papers we have counts for
4 papers
Spectral Vision Transformer for Efficient Tokenization with Limited Data
Alexandra G. Roberts, Maneesh John, Jinwei Zhang +10
We propose a novel spectral vision transformer architecture for efficient tokenization in limited data, with an emphasis on medical imaging. We outline convenient theoretical prope…
Local monotone operator learning using non-monotone operators: MnM-MOL
Maneesh John, Jyothi Rikhab Chand, Mathews Jacob
The recovery of magnetic resonance (MR) images from undersampled measurements is a key problem that has seen extensive research in recent years. Unrolled approaches, which rely on…
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP
Maneesh John, Hemant Kumar Aggarwal, Qing Zou +1
Deep learning algorithms that rely on extensive training data are revolutionizing image recovery from ill-posed measurements. Training data is scarce in many imaging applications,…
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms
Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John +1
Image reconstruction using deep learning algorithms offers improved reconstruction quality and lower reconstruction time than classical compressed sensing and model-based algorithm…