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2021
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A Contrast Augmentation Approach to Improve Multi-Scanner Generalization in MRI

Meyer, Maria Ines ; de la Rosa, Ezequiel ; Pedrosa de Barros, Nuno ; Paolella, Roberto ; Van Leemput, Koen ; Sima, Diana M.
in: Frontiers in Neuroscience, vol: 15

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.3389/fnins.2021.708196

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Computational Imaging Biomarkers of Multiple Sclerosis

Cerri, Stefano

Type: Ph.D. thesis

Status: Published     |    Year: 2021

 

Joint segmentation of multiple sclerosis lesions and brain anatomy in mri scans of any contrast and resolution with CNNs

Billot, Benjamin ; Cerri, Stefano ; Leemput, Koen Van ; Dalca, Adrian V. ; Iglesias, Juan Eugenio
part of: Proceedings of the 18th International Symposium on Biomedical Imaging, pages: 1971-1974, 2021
Presented at:
2021 IEEE 18th International Symposium on Biomedical Imaging

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1109/ISBI48211.2021.9434127

2020
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3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology

Tregidgo, Henry F.J. ; Casamitjana, Adrià ; Latimer, Caitlin S. ; Kilgore, Mitchell D. ; Robinson, Eleanor ; Blackburn, Emily ; Van Leemput, Koen ; Fischl, Bruce ; Dalca, Adrian V. ; Donald, Christine L. Mac ; Keene, C. Dirk ; Iglesias, Juan Eugenio
part of: Medical Image Computing and Computer Assisted Intervention — MICCAI 2020, pages: 204-214, 2020
Presented at:
23rd International Conference on Medical Image Computing and Computer Assisted Intervention

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2020     |    DOI: https://doi.org/10.1007/978-3-030-59722-1_20

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A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

Cerri, Stefano ; Puonti, Oula ; Meier, Dominik S. ; Wuerfel, Jens ; Mühlau, Mark ; Siebner, Hartwig R. ; Van Leemput, Koen
in: NeuroImage, vol: 225

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2020     |    DOI: https://doi.org/10.1016/j.neuroimage.2020.117471

 

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

Cerri, Stefano ; Hoopes, Andrew ; Greve, Douglas N. ; Mühlau, Mark ; Van Leemput, Koen
part of: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, pages: 119-128, 2021

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2020     |    DOI: https://doi.org/10.1007/978-3-030-66843-3_12

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Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: Validation of icobrain dm

Struyfs, Hanne ; Sima, Diana Maria ; Wittens, Melissa ; Ribbens, Annemie ; Pedrosa de Barros, Nuno ; Phan, Thanh Vân ; Ferraz Meyer, Maria Ines ; Claes, Lene ; Niemantsverdriet, Ellis ; Engelborghs, Sebastiaan ; Van Hecke, Wim ; Smeets, Dirk
in: NeuroImage: Clinical, vol: 26

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2020     |    DOI: https://doi.org/10.1016/j.nicl.2020.102243

 

Improved inter-scanner ms lesion segmentation by adversarial training on longitudinal data

Billast, Mattias ; Meyer, Maria Ines ; Sima, Diana M. ; Robben, David
part of: Brainlesion, pages: 98-107, 2020
Presented at:
5th International MICCAI Brainlesion Workshop, BrainLes 2019, held in conjunction with the Medical Image Computing for Computer Assisted Intervention, MICCAI 2019

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2020     |    DOI: https://doi.org/10.1007/978-3-030-46640-4_10

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Semi-supervised variational autoencoder for survival prediction

Pálsson, Sveinn ; Cerri, Stefano ; Dittadi, Andrea ; Leemput, Koen Van
part of: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, pages: 124-134, 2020
Presented at:
5th International MICCAI Brainlesion Workshop, BrainLes 2019, held in conjunction with the Medical Image Computing for Computer Assisted Intervention, MICCAI 2019

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2020     |    DOI: https://doi.org/10.1007/978-3-030-46643-5_12