38 citations · 39 across the 4 of their papers we have counts for
4 papers · 1 filter
A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data
Binwu Wang, Isaac Rodriguez, Leon Breitinger +9
The objective of this paper is to provide a baseline for performing multi-modal data classification on a novel open multimodal dataset of hepatocellular carcinoma (HCC), which incl…
Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel bases
Wenzhao Zhao, Steffen Albert, Barbara D. Wichtmann +4
Filter-decomposition-based group equivariant convolutional neural networks (CNNs) have shown promising stability and data efficiency for 3D image feature extraction. However, these…
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network
Wenzhao Zhao, Barbara D. Wichtmann, Steffen Albert +3
Group-equivariant convolutional neural networks (G-CNN) heavily rely on parameter sharing to increase CNN's data efficiency and performance. However, the parameter-sharing strategy…
Texture variation adaptive image denoising with nonlocal PCA
Wenzhao Zhao, Qiegen Liu, Yisong Lv +1
Image textures, as a kind of local variations, provide important information for human visual system. Many image textures, especially the small-scale or stochastic textures are ric…