Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs

no code implementations • 5 Aug 2020 • Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer

However, for monitoring disease progression, \textit{lesion activity} in terms of new and enlarging lesions between two time points is a crucial biomarker.

Lesion Segmentation Segmentation +1

4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation

no code implementations • 20 Apr 2020 • Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer

While deep learning methods for single-scan lesion segmentation are common, deep learning approaches for lesion activity have only been proposed recently.

Lesion Segmentation Segmentation

4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation

no code implementations • MIDL 2019 • Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer

While deep learning methods for single-scan lesion segmentation are common, deep learning approaches for lesion activity have only been proposed recently.

Lesion Segmentation Segmentation