SVTNet: Automatic bone age assessment network based on TW3 method and vision transformer

Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF

(2022) Sefa Key et al.   JOURNAL OF DIGITAL IMAGING

ViVGG19: Novel Exemplar Deep Feature Extraction-based Shoulder Rotator Cuff Tear and Biceps Tendinosis Detection Using Magnetic Resonance Images

(2022) Sefa Key et al.   MEDICAL ENGINEERING & PHYSICS

SMANet: multi-region ensemble of convolutional neural network model for skeletal maturity assessment

(2022) Yi Zhang et al.   Quantitative Imaging in Medicine and Surgery

Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT

(2021) Francesco Bianconi et al.   Quantitative Imaging in Medicine and Surgery

Automated knee ligament injuries classification method based on exemplar pyramid local binary pattern feature extraction and hybrid iterative feature selection

(2021) Sukru Demir et al.   Biomedical Signal Processing and Control

Faster Region-Convolutional Neural network oriented feature learning with optimal trained Recurrent Neural Network for bone age assessment for pediatrics

(2021) Sonal Deshmukh et al.   Biomedical Signal Processing and Control

Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment

(2021) Chao Chen et al.   IEEE Journal of Biomedical and Health Informatics

Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system

(2020) Xue-Lian Zhou et al.   Quantitative Imaging in Medicine and Surgery

Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization

(2019) Christian Payer et al.   MEDICAL IMAGE ANALYSIS

Landmark‐based multi‐region ensemble convolutional neural networks for bone age assessment

(2019) Shaomeng Cao et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization

(2018) Martin Urschler et al.   MEDICAL IMAGE ANALYSIS

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

(2018) David B. Larson et al.   RADIOLOGY

Discrimination of smoking status by MRI based on deep learning method

(2018) Shuangkun Wang et al.   QUANTITATIVE IMAGING IN MEDICINE AND SURGERY

Fully Automated Deep Learning System for Bone Age Assessment

(2017) Hyunkwang Lee et al.   JOURNAL OF DIGITAL IMAGING

Deep learning for automated skeletal bone age assessment in X-ray images

(2017) C. Spampinato et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

(2017) Mohsen Ghafoorian et al.   Scientific Reports

Standards of TW3 skeletal maturity for Chinese children

(2008) Shao-Yan Zhang et al.   ANNALS OF HUMAN BIOLOGY