Yaou Liu

Orcid: 0000-0002-9930-0331

According to our database1, Yaou Liu authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2023
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer.
Medical Image Anal., December, 2023

CarveMix: A simple data augmentation method for brain lesion segmentation.
NeuroImage, May, 2023

Unsupervised Brain Tumor Segmentation with Image-based Prompts.
CoRR, 2023

Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations.
CoRR, 2023

2022
Volumetric segmentation of white matter tracts with label embedding.
NeuroImage, 2022

A transfer learning approach to few-shot segmentation of novel white matter tracts.
Medical Image Anal., 2022

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Multimodal super-resolved <i>q</i>-space deep learning.
Medical Image Anal., 2021

Benefits of Linear Conditioning for Segmentation using Metadata.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System".
Frontiers Neuroinformatics, 2020

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning.
CoRR, 2020

2019
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.
NeuroImage, 2019

2018
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.
CoRR, 2018

2017
Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study.
NeuroImage, 2017


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