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2020 – today
- 2024
[c6]Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink
, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias:
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. ISBI 2024: 1-5- 2023
- [i8]Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput:
A Lightweight Causal Model for Interpretable Subject-level Prediction. CoRR abs/2306.11107 (2023) - [i7]Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias:
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR abs/2312.05119 (2023) - 2022
- [c5]Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput:
Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. MICCAI (8) 2022: 448-458 - [i6]Stefano Cerri, Douglas N. Greve, Andrew Hoopes, Henrik Lundell, Hartwig R. Siebner, Mark Mühlau, Koen Van Leemput:
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation. CoRR abs/2207.04534 (2022) - 2021
- [j1]Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput:
A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis. NeuroImage 225: 117471 (2021) - [c4]Sveinn Pálsson, Stefano Cerri, Koen Van Leemput:
Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features. BrainLes@MICCAI (2) 2021: 222-231 - [c3]Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias:
Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. ISBI 2021: 1971-1974 - [i5]Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen, Thomas Urup, Ian Law, Koen Van Leemput:
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images. CoRR abs/2109.12334 (2021) - [i4]Sveinn Pálsson, Stefano Cerri, Koen Van Leemput:
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features. CoRR abs/2109.12339 (2021) - 2020
- [c2]Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput:
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. MLCN/RNO-AI@MICCAI 2020: 119-128 - [i3]Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput:
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR abs/2005.05135 (2020) - [i2]Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput:
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR abs/2008.05117 (2020)
2010 – 2019
- 2019
- [c1]Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput:
Semi-supervised Variational Autoencoder for Survival Prediction. BrainLes@MICCAI (2) 2019: 124-134 - [i1]Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput:
Semi-Supervised Variational Autoencoder for Survival Prediction. CoRR abs/1910.04488 (2019)
Coauthor Index
aka: Koen Van Leemput
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