FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection

(2020) Adam Bernheim et al.   RADIOLOGY

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

New insights on the antiviral effects of chloroquine against coronavirus: what to expect for COVID-19?

(2020) Christian A. Devaux et al.   INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS

Chest CT Features of COVID-19 in Rome, Italy

(2020) Damiano Caruso et al.   RADIOLOGY

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Recalibrating 3D ConvNets With Project & Excite

(2020) Anne-Marie Rickmann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

U2-Net: Going deeper with nested U-structure for salient object detection

(2020) Xuebin Qin et al.   PATTERN RECOGNITION

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

(2020) Deng-Ping Fan et al.   IEEE Transactions on Neural Networks and Learning Systems

Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning

(2020) Jiechao Guan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

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

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

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

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

Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks

(2019) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer

(2019) Ashnil Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Exploring uncertainty in pseudo-label guided unsupervised domain adaptation

(2019) Jian Liang et al.   PATTERN RECOGNITION

A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans

(2019) Onur Ozdemir et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Res2Net: A New Multi-Scale Backbone Architecture

(2019) Shang-Hua Gao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2018) Xiaomeng Li 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

FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images

(2018) Sarah E. Gerard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multiple Resolution Residually Connected Feature Streams For Automatic Lung Tumor Segmentation From CT Images

(2018) Jue Jiang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

(2018) Seung Yeon Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Disease quantification on PET/CT images without explicit object delineation

(2018) Yubing Tong et al.   MEDICAL IMAGE ANALYSIS

Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering

(2018) Neeraj Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE