171 citations · 281 across the 6 of their papers we have counts for
4 papers · 1 filter
Sampling possible reconstructions of undersampled acquisitions in MR imaging
Kerem C. Tezcan, Neerav Karani, Christian F. Baumgartner +1
Undersampling the k-space during MR acquisitions saves time, however results in an ill-posed inversion problem, leading to an infinite set of images as possible solutions. Traditio…
Joint reconstruction and bias field correction for undersampled MR imaging
Mélanie Gaillochet, Kerem C. Tezcan, Ender Konukoglu
Undersampling the k-space in MRI allows saving precious acquisition time, yet results in an ill-posed inversion problem. Recently, many deep learning techniques have been developed…
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
Anna Volokitin, Ertunc Erdil, Neerav Karani +4
Probabilistic modelling has been an essential tool in medical image analysis, especially for analyzing brain Magnetic Resonance Images (MRI). Recent deep learning techniques for es…
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Xiaoran Chen, Suhang You, Kerem Can Tezcan +1
Unsupervised lesion detection is a challenging problem that requires accurately estimating normative distributions of healthy anatomy and detecting lesions as outliers without trai…