no code implementations • ICLR 2022 • Amit Suveer, Walter de Back, Nadieh Khalili, Yijiang Chen, Kristian Eurén, Andrew Janowczyk, Arto Järvinen
Our proposed method can be utilised for slide-level QC as well as the identification of artefacts within a slide.
1 code implementation • 26 Jul 2021 • Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
Alternatively, color augmentation can be applied during training leading to a more robust model without the extra step of color normalization at test time.
no code implementations • 10 Nov 2019 • Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Išgum
We combine our previous works for the analysis of the complete coronary artery tree and the LV myocardium: Coronary arteries are encoded by two disjoint convolutional autoencoders (CAEs) and the LV myocardium is characterized by a convolutional neural network (CNN) and a CAE.
no code implementations • 11 Jun 2019 • Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Išgum
In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment.