W
Weidi Xie
Researcher at University of Oxford
Publications - 107
Citations - 6398
Weidi Xie is an academic researcher from University of Oxford. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 22, co-authored 65 publications receiving 3588 citations.
Papers
More filters
Posted ContentDOI
Subcortical Segmentation of the Fetal Brain in 3D Ultrasound using Deep Learning
Linde S. Hesse,Moska Aliasi,Felipe Moser,Monique C. Haak,Weidi Xie,Mark Jenkinson,Mark Jenkinson,Ana I. L. Namburete +7 more
TL;DR: In this article, a CNN was used to segment the choroid plexus, lateral posterior ventricle horns (LPVH), cavum septum pellucidum et vergae (CSPV), and cerebellum (CB) from 3D ultrasound images.
Journal ArticleDOI
Annotation-free Audio-Visual Segmentation
TL;DR: Zhang et al. as discussed by the authors leverage existing image segmentation and audio datasets to match the image-mask pairs with its corresponding audio samples with the linkage of category labels, that allows them to effortlessly compose (image, audio, mask) triplets for training AVS models.
Posted Content
Localizing Visual Sounds the Hard Way
TL;DR: In this article, the authors propose a method to mine hard samples and add them to a contrastive learning formulation automatically, which achieves state-of-the-art performance on the VGG-Sound Source (VGG-SS) dataset.
Posted Content
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation.
TL;DR: In this article, the authors proposed ImplicitVol, which takes a set of 2D scans and their estimated locations in 3D as input, jointly re?fing the estimated 3D locations and learning a full reconstruction of the 3D volume.
Posted Content
Self-supervised Tumor Segmentation through Layer Decomposition
TL;DR: In this paper, a self-supervised approach for tumor segmentation is proposed, where models from selfsupervised learning are directly applied for the downstream task, without using any manual annotations whatsoever.