Search Results for author: Xiaoran Zhang

Found 8 papers, 1 papers with code

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels

no code implementations27 Sep 2022 Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Haoran Su, Xiaoran Zhang, Xiaoxiao Li, David A. Clifton, Lawrence Staib, James S. Duncan

Blindly leveraging all pixels in training hence can lead to the data imbalance issues, and cause deteriorated performance; (2) consistency: it remains unclear whether a segmentation model has learned meaningful and yet consistent anatomical features due to the intra-class variations between different anatomical features; and (3) diversity: the intra-slice correlations within the entire dataset have received significantly less attention.

Anatomy Contrastive Learning +3

Learning correspondences of cardiac motion from images using biomechanics-informed modeling

1 code implementation1 Sep 2022 Xiaoran Zhang, Chenyu You, Shawn Ahn, Juntang Zhuang, Lawrence Staib, James Duncan

Learning spatial-temporal correspondences in cardiac motion from images is important for understanding the underlying dynamics of cardiac anatomical structures.

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

no code implementations3 Jun 2022 Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John Onofrey, Lawrence Staib, James S. Duncan

Many medical datasets have recently been created for medical image segmentation tasks, and it is natural to question whether we can use them to sequentially train a single model that (1) performs better on all these datasets, and (2) generalizes well and transfers better to the unknown target site domain.

Image Segmentation Incremental Learning +3

Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning

no code implementations8 Dec 2021 Bijie Bai, Hongda Wang, Yuzhu Li, Kevin De Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagnostic decisions, guiding cancer treatment and investigation of pathogenesis.

whole slide images

Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter

no code implementations28 Sep 2020 Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar

This study proposes a fully automated approach for the left atrial segmentation from routine cine long-axis cardiac magnetic resonance image sequences using deep convolutional neural networks and Bayesian filtering.

Left Atrium Segmentation

Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences

no code implementations18 Aug 2020 Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar

The proposed approach is evaluated by the challenge organizers with a test set including 20 cases and achieves a mean dice score of $46. 8\%$ for LV MS and $55. 7\%$ for LV ME+MS

Data Augmentation

A Comparative Study for Non-rigid Image Registration and Rigid Image Registration

no code implementations12 Jan 2020 Xiaoran Zhang, Hexiang Dong, Di Gao, Xiao Zhao

The Voxelmorph is trained on rigidset and nonrigidset separately for comparison and we also add a gaussian blur layer to its original architecture to improve registration performance.

Image Registration Translation

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