activity
20192023
most citedNODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration

5 citations · 5 across the 9 of their papers we have counts for

collaborators

10 papers

q-bio.NC2023

Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI

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

Longitudinal assessment of brain atrophy, particularly in the hippocampus, is a well-studied biomarker for neurodegenerative diseases, such as Alzheimer's disease (AD). In clinical…

cs.CV2021★ 5 cited

NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration

Yifan Wu, Tom Z. Jiahao, Jiancong Wang +3

Deformable image registration (DIR), aiming to find spatial correspondence between images, is one of the most critical problems in the domain of medical image analysis. In this pap…

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…

cs.CV2019

Barnes-Hut Approximation for Point SetGeodesic Shooting

Jiancong Wang, Long Xie, Paul Yushkevich +1

Geodesic shooting has been successfully applied to diffeo-morphic registration of point sets. Exact computation of the geodesicshooting between point sets, however, requiresO(N2) c…

cs.GR2019

Diffeomorphic Medial Modeling

Paul A. Yushkevich, Ahmed Aly, Jiancong Wang +4

Deformable shape modeling approaches that describe objects in terms of their medial axis geometry (e.g., m-reps [Pizer et al., 2003]) yield rich geometrical features that can be us…