RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans

Cell-like P systems with evolutional symport/antiport rules and membrane creation

(2020) Bosheng Song et al.   INFORMATION AND COMPUTATION

Memristive Circuit Implementation of Biological Nonassociative Learning Mechanism and Its Applications

(2020) Qinghui Hong et al.   IEEE Transactions on Biomedical Circuits and Systems

Memristive self-learning logic circuit with application to encoder and decoder

(2020) Qinghui Hong et al.   NEURAL COMPUTING & APPLICATIONS

Monodirectional Tissue P Systems With Promoters

(2020) Bosheng Song et al.   IEEE Transactions on Cybernetics

Monodirectional tissue P systems with channel states

(2020) Bosheng Song et al.   INFORMATION SCIENCES

Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response

(2019) Ran Su et al.   METHODS

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

(2019) Hyunseok Seo et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

A comprehensive overview and evaluation of circular RNA detection tools

(2017) Xiangxiang Zeng et al.   PLoS Computational Biology

Automatic Liver Segmentation on Volumetric CT Images Using Supervoxel-Based Graph Cuts

(2016) Weiwei Wu et al.   Computational and Mathematical Methods in Medicine

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic 3D liver location and segmentation via convolutional neural network and graph cut

(2016) Fang Lu et al.   International Journal of Computer Assisted Radiology and Surgery

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

Swarm Intelligence Integrated Graph-Cut for Liver Segmentation from 3D-CT Volumes

(2015) Maya Eapen et al.   TheScientificWorldJOURNAL

Swarm Intelligence Integrated Graph-Cut for Liver Segmentation from 3D-CT Volumes

(2015) Maya Eapen et al.   Scientific World Journal

A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes

(2013) Changyang Li et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

(2009) T. Heimann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING