7 citations · 13 across the 5 of their papers we have counts for
5 papers
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
In medical image segmentation, convolutional neural networks (CNNs) and transformers are dominant. For CNNs, given the local receptive fields of convolutional layers, long-range sp…
Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations
Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi +3
Content-addressable memories such as Modern Hopfield Networks (MHN) have been studied as mathematical models of auto-association and storage/retrieval in the human declarative memo…
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity
Ken C. L. Wong, Levente Klein, Ademir Ferreira da Silva +3
Soil organic carbon (SOC) sequestration is the transfer and storage of atmospheric carbon dioxide in soils, which plays an important role in climate change mitigation. SOC concentr…
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
With the introduction of Transformers, different attention-based models have been proposed for image segmentation with promising results. Although self-attention allows capturing o…
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
Due to the computational complexity of 3D medical image segmentation, training with downsampled images is a common remedy for out-of-memory errors in deep learning. Nevertheless, a…