Mining Big Neuron Morphological Data

Por Aghili, Maryamossadat, Fang, Ruogu
Publicado no Comput Intell Neurosci (2018)

Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries

Por Fang, Ruogu, Chen, Tsuhan, Sanelli, Pina C.
Publicado em 2012

Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion

Por Fang, Ruogu, Chen, Tsuhan, Sanelli, Pina C.
Publicado em 2013

Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning

Por Fang, Ruogu, Chen, Tsuhan, Sanelli, Pina C.
Publicado em 2013

Improving Low-Dose Blood-Brain Barrier Permeability Quantification Using Sparse High-Dose Induced Prior for Patlak Model

Por Fang, Ruogu, Karlsson, Kolbeinn, Chen, Tsuhan, Sanelli, Pina C.
Publicado em 2013

Robust Low-dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization

Por Fang, Ruogu, Zhang, Shaoting, Chen, Tsuhan, Sanelli, Pina C.
Publicado no IEEE Trans Med Imaging (2015)

Sparsity techniques in medical imaging

Por Fang, Ruogu, Chen, Tsuhan, Metaxas, Dimitris, Sanelli, Pina, Zhang, Shaoting
Publicado no Comput Med Imaging Graph (2015)

Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning

Por Masood, Saleha, Fang, Ruogu, Li, Ping, Li, Huating, Sheng, Bin, Mathavan, Akash, Wang, Xiangning, Yang, Po, Wu, Qiang, Qin, Jing, Jia, Weiping
Publicado no Sci Rep (2019)