Image-based biomechanical models of the musculoskeletal system

F Galbusera, A Cina, M Panico, D Albano… - European radiology …, 2020 - Springer
Finite element modeling is a precious tool for the investigation of the biomechanics of the
musculoskeletal system. A key element for the development of anatomically accurate, state …

A concise review on deep learning for musculoskeletal X-ray images

Z Alammar, L Alzubaidi, J Zhang… - … on Digital Image …, 2022 - ieeexplore.ieee.org
Musculoskeletal refers to the muscles and skeleton of the body. In particular, the
musculoskeletal system contains joints, muscles, bones, cartilage, ligaments, bursae, and …

Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition

E Al-wajih, R Ghazali - Knowledge-Based Systems, 2023 - Elsevier
The writing style of the same writer varies from instance to instance in Arabic and English
handwritten digit recognition, making handwritten digit recognition challenging. Currently …

Integrating virtual twin and deep neural networks for efficient and energy-aware robotic deburring in industry 4.0

MR Rahul, SS Chiddarwar - International Journal of Precision Engineering …, 2023 - Springer
In the context of modern manufacturing, digitalization, real-time monitoring, and simulation
are integral components that contribute to efficiency and energy awareness. This research …

Ultrasound-based detection of lung abnormalities using single shot detection convolutional neural networks

S Kulhare, X Zheng, C Mehanian, C Gregory… - … , Image Processing, and …, 2018 - Springer
Ultrasound imaging can be used to identify a variety of lung pathologies, including
pneumonia, pneumothorax, pleural effusion, and acute respiratory distress syndrome …

Automatic segmentation method using FCN with multi-scale dilated convolution for medical ultrasound image

L Qian, H Huang, X Xia, Y Li, X Zhou - The Visual Computer, 2023 - Springer
Image segmentation plays a critical role in the quantitative and qualitative analysis of
medical ultrasound images, directly affecting the follow-up analysis and processing …

Finger-vein recognition using deep fully convolutional neural semantic segmentation networks: The impact of training data

E Jalilian, A Uhl - … on information forensics and security (WIFS), 2018 - ieeexplore.ieee.org
We propose a novel approach for finger-vein recognition, focused on direct extraction of
actual finger-vein patterns from NIR finger images without any specific pre-or post …

[PDF][PDF] Combination of aggregated channel features (ACF) detector and faster R-CNN to improve object detection performance in fetal ultrasound images

FA Hermawati, H Tjandrasa, N Suciati - Int. J. Intell. Eng. Syst, 2018 - inass.org
The research proposed a method that combined non-deep learning detector that called
Aggregated Channel Features (ACF) detector and Convolutional Neural Network (CNN) that …

Enhanced segmentation-CNN based finger-vein recognition by joint training with automatically generated and manual labels

E Jalilian, A Uhl - 2019 IEEE 5th international conference on …, 2019 - ieeexplore.ieee.org
Deep learning techniques are nowadays the leading approaches to solve complex machine
learning and pattern recognition problems. For the first time, we utilize state-of-the-art …

Deep learning-based pneumothorax detection in ultrasound videos

C Mehanian, S Kulhare, R Millin, X Zheng… - … Ultrasound Imaging and …, 2019 - Springer
Pneumothorax (PTX) is a medical and surgical emergency that can lead to hemodynamic
instability and life-threatening collapse of the lung. PTX is usually detected using chest X-ray …