21 citations · 34 across the 12 of their papers we have counts for
5 papers · 1 filter
DINO-AD: Unsupervised Anomaly Detection with Frozen DINO-V3 Features
Jiayu Huo, Jingyuan Hong, Liyun Chen
Unsupervised anomaly detection (AD) in medical images aims to identify abnormal regions without relying on pixel-level annotations, which is crucial for scalable and label-efficien…
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation
Jiayu Huo, Sebastien Ourselin, Rachel Sparks
Medical image translation is crucial for reducing the need for redundant and expensive multi-modal imaging in clinical field. However, current approaches based on Convolutional Neu…
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images
Jiayu Huo, Sebastien Ourselin, Rachel Sparks
Accurate brain lesion delineation is important for planning neurosurgical treatment. Automatic brain lesion segmentation methods based on convolutional neural networks have demonst…
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…
Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin +1
Rapid advancements in medical image segmentation performance have been significantly driven by the development of Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs…