most citedU-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

47 citations · 49 across the 4 of their papers we have counts for

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cs.CV2024

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network

Delin An, Pengfei Gu, Milan Sonka +2

Deep learning (DL) methods have shown remarkable successes in medical image segmentation, often using large amounts of annotated data for model training. However, acquiring a large…

cs.CV2023★ 2 cited

PHG-Net: Persistent Homology Guided Medical Image Classification

Yaopeng Peng, Hongxiao Wang, Milan Sonka +1

Modern deep neural networks have achieved great successes in medical image analysis. However, the features captured by convolutional neural networks (CNNs) or Transformers tend to…