Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses

no code implementations • 10 Mar 2023 • Jiacheng Wang, Kathleen E. Larson, Ipek Oguz

In this paper, we present a solution using a self-supervised inpainting model to generate CSF in these regions and create images with more plausible GM/CSF boundaries.

Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble

no code implementations • 24 Sep 2021 • Hao Li, Dewei Hu, Qibang Zhu, Kathleen E. Larson, Huahong Zhang, Ipek Oguz

To overcome this problem, domain adaptation is an effective way to leverage information from source domain to obtain accurate segmentations without requiring manual labels in target domain.

Data Augmentation Domain Adaptation +2

LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation

no code implementations • 9 Jul 2021 • Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz

We then construct the local intensity fusion encoder (LIFE) to map a given OCT-A volume and its LIF counterpart to a shared latent space.

Retinal Vessel Segmentation Segmentation