no code implementations • 18 Feb 2023 • Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin Sheth, Chi Liu, James S. Duncan, Michal Sofka
To this end, we present a fully self-supervised approach for accelerated non-Cartesian MRI reconstruction which leverages self-supervision in both k-space and image domains.
no code implementations • 27 Jun 2022 • Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, Michal Sofka
Establishing voxelwise semantic correspondence across distinct imaging modalities is a foundational yet formidable computer vision task.
no code implementations • 26 Jan 2022 • Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka
To these ends, we present a dual-domain self-supervised transformer (DSFormer) for accelerated MC-MRI reconstruction.
no code implementations • 2 Mar 2019 • Fausto Milletari, Vighnesh Birodkar, Michal Sofka
Point of care ultrasound (POCUS) consists in the use of ultrasound imaging in critical or emergency situations to support clinical decisions by healthcare professionals and first responders.
no code implementations • 8 Feb 2017 • Lukas Machlica, Karel Bartos, Michal Sofka
This paper proposes a generic classification system designed to detect security threats based on the behavior of malware samples.