168 citations · 293 across the 13 of their papers we have counts for
4 papers · 1 filter
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks
Ankita Joshi, Yi Hong
Deep learning based methods provide efficient solutions to medical image registration, including the challenging problem of diffeomorphic image registration. However, most methods…
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
Raunak Dey, Wenbo Sun, Haibo Xu +1
In this paper we consider the problem of unsupervised anomaly segmentation in medical images, which has attracted increasing attention in recent years due to the expensive pixel-le…
DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration
Ankita Joshi, Yi Hong
Deep diffeomorphic registration faces significant challenges for high-dimensional images, especially in terms of memory limits. Existing approaches either downsample original image…
Hybrid Cascaded Neural Network for Liver Lesion Segmentation
Raunak Dey, Yi Hong
Automatic liver lesion segmentation is a challenging task while having a significant impact on assisting medical professionals in the designing of effective treatment and planning…