no code implementations • 9 Jan 2024 • Hanliang Xu, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios, Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, The BIOCARD Study Team, Ivana Isgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, Bennett A. Landman
First, we plotted the graph measures and used coefficient of variation (CoV) and the Mann-Whitney U test to evaluate different methods' effectiveness in removing site effects on the matrices and the derived graph measures.
no code implementations • 22 Sep 2023 • Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman
In this study, we adopt an unpaired image translation approach to investigate harmonization between and across reconstruction kernels from different manufacturers by constructing a multipath cycle generative adversarial network (GAN).
no code implementations • 1 Jan 2021 • Tycho F.A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos, Pim Moeskops
In this paper we propose a spatial transformer network where the spatial transformations are limited to the group of diffeomorphisms.
1 code implementation • 27 Aug 2019 • Hessam Sokooti, Bob de Vos, Floris Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring
We propose a supervised nonrigid image registration method, trained using artificial displacement vector fields (DVF), for which we propose and compare three network architectures.
no code implementations • 12 Feb 2019 • Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Lessmann, Ivana Isgum
To meet demands of the increasing interest in quantification of CAC, i. e. coronary calcium scoring, especially as an unrequested finding for screening and research, automatic methods have been proposed.
no code implementations • 22 Nov 2018 • Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
A constrained volume growing method uses these manually placed seed points as input and generates a tumor segmentation.
no code implementations • 9 Oct 2018 • Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
Hence, we propose an automatic method to segment the ascending aorta, the aortic arch and the thoracic descending aorta in low-dose chest CT without contrast enhancement.
no code implementations • 17 Sep 2018 • Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum
To circumvent the need for predefined examples, and thereby to increase convenience of training ConvNets for image registration, we propose the Deep Learning Image Registration (DLIR) framework for \textit{unsupervised} affine and deformable image registration.
no code implementations • 12 Apr 2018 • Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
Results show that Wasserstein generative adversarial networks can be used to synthesize blood vessel geometries.
no code implementations • 12 Apr 2018 • Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
The results demonstrate that automatic detection and classification of coronary artery plaque and stenosis are feasible.
no code implementations • 8 Dec 2017 • Bob D. de Vos, Nikolas Lessmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum
The results demonstrate that real-time quantification of CAC burden in chest CT without the need for segmentation of CAC is possible.
2 code implementations • 3 Aug 2017 • Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije, Peter R. Seevinck, Cornelis A. T. van den Berg, Ivana Isgum
MR-only radiotherapy treatment planning requires accurate MR-to-CT synthesis.
no code implementations • 3 Aug 2017 • Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
We propose a fully automatic method for segmentation and disease classification using cardiac cine MR images.
no code implementations • 19 Apr 2017 • Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
Subsequently, to obtain the segmentation of the LV, voxel classification is performed within the defined bounding box using a CNN.