DNL-Net: deformed non-local neural network for blood vessel segmentation

SA-Net: A scale-attention network for medical image segmentation

(2021) Jingfei Hu et al.   PLoS One

MD-Net: A multi-scale dense network for retinal vessel segmentation

(2021) Zhengjin Shi et al.   Biomedical Signal Processing and Control

TA-Net: Triple attention network for medical image segmentation

(2021) Yang Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

SAA-Net: U-shaped network with Scale-Axis-Attention for liver tumor segmentation

(2021) Chi Zhang et al.   Biomedical Signal Processing and Control

NFN＋: A novel network followed network for retinal vessel segmentation

(2020) Yicheng Wu et al.   NEURAL NETWORKS

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning

(2020) Yifei Chen et al.   MEDICAL IMAGE ANALYSIS

Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification

(2020) Sunyi Zheng et al.   MEDICAL PHYSICS

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

(2019) Michelle Livne et al.   Frontiers in Neuroscience

A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning

(2019) Mikael Agn et al.   MEDICAL IMAGE ANALYSIS

GC-Net: Global context network for medical image segmentation

(2019) Jiajia Ni et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

(2019) Zaiwang Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal

(2019) Steven Guan et al.   IEEE Journal of Biomedical and Health Informatics

K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence

(2019) Rongjun Ge et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry

(2018) Berk Norman et al.   RADIOLOGY

A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

(2016) Qiaoliang Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images

(2015) Yitian Zhao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Trainable COSFIRE filters for vessel delineation with application to retinal images

(2015) George Azzopardi et al.   MEDICAL IMAGE ANALYSIS

Molecular pathogenesis of retinal and choroidal vascular diseases

(2015) Peter A. Campochiaro   PROGRESS IN RETINAL AND EYE RESEARCH