58 citations · 59 across the 3 of their papers we have counts for
3 papers
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI
Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre +17
Treatment decisions for brain metastatic disease rely on knowledge of the primary organ site, and currently made with biopsy and histology. Here we develop a novel deep learning ap…
Transparency guided ensemble convolutional neural networks for stratification of pseudoprogression and true progression of glioblastoma multiform
Xiaoming Liu, Michael D. Chan, Xiaobo Zhou +1
Pseudoprogression (PsP) is an imitation of true tumor progression (TTP) in patients with glioblastoma multiform (GBM). Differentiating them is a challenging and time-consuming task…
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet
Meiyu Li, Hailiang Tang, Michael D. Chan +2
Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) after receiving the standard treatment. In the course of post-treatment magnetic resonance i…