Graph based multi-scale neighboring topology deep learning for kidney and tumor segmentation

Dynamic graph convolutional autoencoder with node attribute-wise attention for kidney and tumor segmentation from CT volumes

(2021) Ping Xuan et al.   KNOWLEDGE-BASED SYSTEMS

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

(2020) Nicholas Heller et al.   MEDICAL IMAGE ANALYSIS

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation

(2020) Qiangguo Jin et al.   APPLIED SOFT COMPUTING

Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations

(2020) Ping Xuan et al.   IEEE Journal of Biomedical and Health Informatics

A topo-graph model for indistinct target boundary definition from anatomical images

(2018) Hui Cui et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Scene Segmentation with DAG-Recurrent Neural Networks

(2018) Bing Shuai et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

A mixed-scale dense convolutional neural network for image analysis

(2017) Daniël M. Pelt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA