Retinotopic Mapping


qPRF:A system toaccelerate population receptive field modeling

Sebastian Waz, Yalin Wang, Zhong-Lin Lu

NeuroImage, 2025


Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning

Yujian Xiong, Wenhui Zhu, Zhong-Lin Lu, Yalin Wang

IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Athens, Greece, May 2024.


Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration

Negar Jalili-Mallak, Yanshuai Tu, Zhong-Lin Lu, Yalin Wang

IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Athens, Greece, May 2024.


Adaptive Smoothing of Retinotopic Maps Based on Teichmüller Parametrization

Yanshuai Tu, Xin Li, Zhong-Lin Lu, Yalin Wang

Medical Image Analysis, 2023





Topology-Preserving Smoothing of Retinotopic Maps,

Topology-Preserving Smoothing of Retinotopic Maps,

Yanshuai Tu, Duyan Ta, Zhong-Lin Lu,  Yalin Wang, 

[ISBI 2020] [PLoS Comput. Biol. 2021] 


Topological Receptive Field Model for Human Retinotopic Mapping,

Topological Receptive Field Model for Human Retinotopic Mapping,

Yanshuai Tu, Duyan Ta, Zhong-Lin Lu,  Yalin Wang, 

International Conference on Medical Image Computing & Computer-Assisted Intervention (MICCAI), 2021


Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping,

Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping,

Yanshuai Tu, Duyan Ta, Zhong-Lin Lu,  Yalin Wang, 

International Conference on Medical Image Computing & Computer-Assisted Intervention (MICCAI), 2020


Diffeomorphic Registration for Retinotopic Mapping via Quasiconformal Mapping,

Yanshuai Tu, Duyan Ta, Xianfeng Gu, Zhong-Lin Lu,  Yalin Wang, 

IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2020 


Characterizing Human Retinotopic Mapping with Conformal Geometry: A Preliminary Study,

Duyan Ta, Jie Shi, Brian Barton, Alyssa Brewer, Zhong-Lin Lu, Yalin Wang, 

Society of Photo-Optical Instrumentation Engineers (SPIE), 2014