652 citations · 1k across the 4 of their papers we have counts for
4 papers
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Yan Wang, Xu Wei, Fengze Liu +5
Tubular structure segmentation in medical images, e.g., segmenting vessels in CT scans, serves as a vital step in the use of computers to aid in screening early stages of related d…
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
Xinyi Huang, Suphanut Jamonnak, Ye Zhao +4
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes i…
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao, Wei Xu, Yi Yang +3
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. It directly models the probability distribution of generating a w…
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu, Yi Yang +2
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for generating novel sentence descriptions to explain the content of images. It directly models the pr…