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MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Qiuhui Chen, Xinyue Hu, Zirui Wang +1
Vision-language pre-training (VLP) models have been demonstrated to be effective in many computer vision applications. In this paper, we consider developing a VLP model in the medi…
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation
Rutu Gandhi, Yi Hong
Segmenting an entire 3D image often has high computational complexity and requires large memory consumption; by contrast, performing volumetric segmentation in a slice-by-slice man…
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
Raunak Dey, Yi Hong
We introduce a neural network framework, utilizing adversarial learning to partition an image into two cuts, with one cut falling into a reference distribution provided by the user…
Predictive Image Regression for Longitudinal Studies with Missing Data
Sharmin Pathan, Yi Hong
In this paper, we propose a predictive regression model for longitudinal images with missing data based on large deformation diffeomorphic metric mapping (LDDMM) and deep neural ne…
CompNet: Complementary Segmentation Network for Brain MRI Extraction
Raunak Dey, Yi Hong
Brain extraction is a fundamental step for most brain imaging studies. In this paper, we investigate the problem of skull stripping and propose complementary segmentation networks…
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Raunak Dey, Zhongjie Lu, Yi Hong
Lung cancer is the leading cause of cancer-related death worldwide. Early diagnosis of pulmonary nodules in Computed Tomography (CT) chest scans provides an opportunity for designi…