Mengwei Ren

I am a Ph.D. candidate at the NYU Visualization and Data Analytics Research (VIDA) Center , supervised by Prof. Guido Gerig.

Email  /  Google Scholar  /  Github

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Research

Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Mengwei Ren, Neel Dey, Martin A. Styner, Kelly N. Botteron, Guido Gerig.
NeurIPS, 2022
arXiv, github, project page, bibtex

We propose a local and multi-scale spatiotemporal representation learning method for image-to-image architectures trained on longitudinal (non i.i.d) images.

Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Mengwei Ren, Neel Dey, James Fishbaugh, Guido Gerig
Transaction on Medical Imaging, 2021
arXiv, github, bibtex

Based on an underlying assumption that morphological shape is consistent across imaging sites, we propose a segmentation-renormalized image translation framework to reduce inter-scanner heterogeneity while preserving anatomical layout.

Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
arXiv, github, bibtex

We propose a generative adversarial translation framework for high-quality DW image estimation with arbitrary Q-space sampling given commonly acquired structural images.

Generative Adversarial Registration for Improved Conditional Deformable Templates
Neel Dey, Mengwei Ren, Adrian Dalca, Guido Gerig
International Conference of Computer Vision (ICCV), 2021
arXiv, github, bibtex

We reformulate deformable registration and conditional template estimation as an adversarial game wherein we encourage realism in the moved templates with a generative adversarial registration framework conditioned on flexible image covariates.

MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation
Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang
BMVC, 2020
Link, bibtex

3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks
Mengwei Ren, Liang Niu, Yi Fang
Thesis for B.S. degree, 2017
arXiv, bibtex


cr: Jon Baron