activity
20192021
collaborators

8 papers

eess.IV2021

Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline

Long Xie, Laura E. M. Wisse, Jiancong Wang +6

Deep learning (DL) is the state-of-the-art methodology in various medical image segmentation tasks. However, it requires relatively large amounts of manually labeled training data,…

cs.LG2020

DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease

Mengjin Dong, Long Xie, Sandhitsu R. Das +5

Volume change measures derived from longitudinal MRI (e.g. hippocampal atrophy) are a well-studied biomarker of disease progression in Alzheimer's Disease (AD) and are used in clin…

cs.CV2020

Nested Scale Editing for Conditional Image Synthesis

Lingzhi Zhang, Jiancong Wang, Yinshuang Xu +4

We propose an image synthesis approach that provides stratified navigation in the latent code space. With a tiny amount of partial or very low-resolution image, our approach can co…

cs.CV2019

Multimodal Image Outpainting With Regularized Normalized Diversification

Lingzhi Zhang, Jiancong Wang, Jianbo Shi

In this paper, we study the problem of generating a set ofrealistic and diverse backgrounds when given only a smallforeground region. We refer to this task as image outpaint-ing. T…

eess.IV2019

Enhanced generative adversarial network for 3D brain MRI super-resolution

Jiancong Wang, Yuhua Chen, Yifan Wu +2

Single image super-resolution (SISR) reconstruction for magnetic resonance imaging (MRI) has generated significant interest because of its potential to not only speed up imaging bu…

cs.CV2019

Fast geodesic shooting for landmark matching using CUDA

Jiancong Wang

Landmark matching via geodesic shooting is a prerequisite task for numerous registration based applications in biomedicine. Geodesic shooting has been developed as one solution app…