medical-6

Brain Lesion Segmentation From Mri

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Boundary loss for highly unbalanced segmentation

Christian Desrosiers, Eric Granger, Ismail Ben Ayed, J. Dolz, H. Kervadec, Jihene Bouchtiba•Wed Dec 12 2018

Inspired by graph-based optimization techniques for computing active-contour flows, a non-symmetric L2 distance on the space of contours as a regional integral is expressed, which avoids completely local differential computations involving contour points.

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A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

K. V. Leemput, Stefano Cerri, O. Puonti, D. Meier, J. Wuerfel, M. Mühlau, H. Siebner•Sun May 10 2020

A novel model for white matter lesions into a previously validated generative model for whole-brain segmentation is integrated, showing robust performance in white matter lesion segmentation while simultaneously segmenting dozens of other brain structures from multi-contrast brain MRI scans of multiple sclerosis patients.

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

Andrew Hoopes, D. Greve, K. V. Leemput, Stefano Cerri, Mark Muhlau•Tue Aug 11 2020

Preliminary experiments on three longitudinal datasets indicate that the proposed method produces more reliable segmentations and detects disease effects better than the cross-sectional method it is based upon.

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An open-source tool for longitudinal whole-brain and white matter lesion segmentation

Andrew Hoopes, D. Greve, K. V. Leemput, Stefano Cerri, H. Siebner, Mark Muhlau, Henrik Lundell•Sat Jul 09 2022

A method for whole-brain segmentation of longitudinal MRI scans that is adaptive to different scanners and MRI sequences and can also segment white matter lesions simultaneously.

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