4 citations · 6 across the 4 of their papers we have counts for
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cs.CV2024★ 2 cited
Revisiting MAE pre-training for 3D medical image segmentation
Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko +6
Self-Supervised Learning (SSL) presents an exciting opportunity to unlock the potential of vast, untapped clinical datasets, for various downstream applications that suffer from th…
eess.IV2024★ 4 cited
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
Michael Götz, Christian Weber, Christoph Kolb +1
In machine learning larger databases are usually associated with higher classification accuracy due to better generalization. This generalization may lead to non-optimal classifier…