1 citations · 1 across the 2 of their papers we have counts for
4 papers
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
Yaopeng Peng, Milan Sonka, Danny Z. Chen
This paper introduces Spectral U-Net, a novel deep learning network based on spectral decomposition, by exploiting Dual Tree Complex Wavelet Transform (DTCWT) for down-sampling and…
FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images
Yaopeng Peng, Zhi Chen, Andreas Wahle +3
The key manifestation of coronary artery disease (CAD) is development of fibroatheromatous plaque, the cap of which may rupture and subsequently lead to coronary artery blocking an…
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…
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
Yaopeng Peng, Milan Sonka, Danny Z. Chen
In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-leve…