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- research-articleSeptember 2024
Pleural lung sliding quantification using a speckle tracking technology: A feasibility study on 30 healthy volunteers
- Gary Duclos,
- Ludivine Marecal,
- Noemie Resseguier,
- Martin Postzich,
- Chloe Taguet,
- Sami Hraiech,
- Marc Leone,
- Laurent Müller,
- Laurent Zieleskiewicz
Computer Methods and Programs in Biomedicine (CBIO), Volume 254, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108316Hightlights- Lung over distention is a major concern for patients under mechanical ventilation.
- Clinician is lacking a bedside tool able to quantify the regional lung distension.
- Lung ultrasound is be able to quantify pleural sliding using ...
Speckle tracking technology quantifies lung sliding and detects lung sliding abolition in case of pneumothorax on selected ultrasound loops through the analysis of acoustic markers.
ObjectivesWe aimed to test the ability of speckle ...
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- research-articleSeptember 2024
Source localization comparison and combination of OPM-MEG and fMRI to detect sensorimotor cortex responses
- Nan An,
- Zhenfeng Gao,
- Wen Li,
- Fuzhi Cao,
- Wenli Wang,
- Weinan Xu,
- Chunhui Wang,
- Min Xiang,
- Yang Gao,
- Dawei Wang,
- Dexin Yu,
- Xiaolin Ning
Computer Methods and Programs in Biomedicine (CBIO), Volume 254, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108292Abstract Background and objectives:The exploration of various neuroimaging techniques have become focal points within the field of neuroscience research. Magnetoencephalography based on optically pumped magnetometers (OPM-MEG) has shown significant ...
Highlights- The brain responses measured by OPM-MEG and fMRI were investigated and compared.
- A source power-spectrum ratio-based imaging method was proposed and applied.
- Simulations and experiments validated the effectiveness of the proposed ...
- research-articleSeptember 2024
Accurate identification of individuals with subjective cognitive decline using 3D regional fractal dimensions on structural magnetic resonance imaging
Computer Methods and Programs in Biomedicine (CBIO), Volume 254, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108281Highlights- Propose a novel method called IRBCFA to improve the precision of regional FD.
- IRBCFA method can calculate regional 3D fractal dimensionality in fine brain regions.
- Regional FD in gray matter is effective in identifying individuals ...
Accurate identification of individuals with subjective cognitive decline (SCD) is crucial for early intervention and prevention of neurodegenerative diseases. Fractal dimensionality (FD) has emerged as a robust and ...
- research-articleSeptember 2024
MultiTrans: Multi-branch transformer network for medical image segmentation
Computer Methods and Programs in Biomedicine (CBIO), Volume 254, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108280Abstract Background and Objective:Transformer, which is notable for its ability of global context modeling, has been used to remedy the shortcomings of Convolutional neural networks (CNN) and break its dominance in medical image segmentation. However, ...
Highlights- We design a memory- and computation-efficient self-attention module through which our Transformer branch can directly inference on relatively high-resolution feature maps, maintaining a grasp of fine spatial details and enabling a more ...
- research-articleSeptember 2024
MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network
Computer Methods and Programs in Biomedicine (CBIO), Volume 254, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108259Highlights- We propose a dual-branch fusion CNN based on a crossover mechanism, named MACFNet.
- We propose a cross-enhancement fusion module to increase the interaction of MRI and PET low-level features.
- We propose a concise multi-scale ...
Alzheimer's disease (AD) is a dreaded degenerative disease that results in a profound decline in human cognition and memory. Due to its intricate pathogenesis and the lack of effective therapeutic interventions, early ...
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- research-articleNovember 2022
Low-cost structured light imaging of regional volume changes for use in assessing mechanical ventilation
Computer Methods and Programs in Biomedicine (CBIO), Volume 226, Issue Chttps://doi.org/10.1016/j.cmpb.2022.107176Highlights- A new structured light pattern suitable for chest motion.
- A new feature ...
Optimal setting of mechanical ventilators is critical for improving outcomes. Accurate, predictive lung mechanics models are effective in optimizing MV settings, but only at a global level as they cannot estimate ...
- research-articleNovember 2022
A markerless pipeline to analyze spontaneous movements of preterm infants
- Matteo Moro,
- Vito Paolo Pastore,
- Chaira Tacchino,
- Paola Durand,
- Isabella Blanchi,
- Paolo Moretti,
- Francesca Odone,
- Maura Casadio
Computer Methods and Programs in Biomedicine (CBIO), Volume 226, Issue Chttps://doi.org/10.1016/j.cmpb.2022.107119Highlights- The analysis of spontaneous movements of preterm infants is essential because anomalous motion patterns can be a sign of neurological disorders.
Background and Objective: The analysis of spontaneous movements of preterm infants is important because anomalous motion patterns can be a sign of neurological disorders caused by lesions in the developing brain. A diagnosis in the ...
- research-articleOctober 2022
C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation
Computer Methods and Programs in Biomedicine (CBIO), Volume 225, Issue Chttps://doi.org/10.1016/j.cmpb.2022.107086Highlights- First, we developed a novel cascaded convolutional neural network to segment the lesion from breast ultrasound images.
Breast lesions segmentation is an important step of computer-aided diagnosis system. However, speckle noise, heterogeneous structure, and similar intensity distributions bring challenges for breast ...
- research-articleOctober 2022
Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort
Computer Methods and Programs in Biomedicine (CBIO), Volume 225, Issue Chttps://doi.org/10.1016/j.cmpb.2022.107085Highlights- Self-Supervised learning (SSL) enables organ tracking with minimal labeling effort.
Background and Objective: Tracking of anatomical structures in time-resolved medical image data plays an important role for various tasks such as volume change estimation or treatment planning. State-of-the-art deep learning techniques ...
- review-articleJune 2022
Availability and performance of face based non-contact methods for heart rate and oxygen saturation estimations: A systematic review
Computer Methods and Programs in Biomedicine (CBIO), Volume 219, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106771Highlights- This summarizes existing facial video-based heart rate and Sp O 2 estimations using non-contact approaches.
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AbstractBackground: Consumer-level cameras have provided an advantage of designing cost-effective, non-contact physiological parameters estimation approaches which is not possible with gold standard estimation techniques. This ...
- research-articleJune 2022
A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs
Computer Methods and Programs in Biomedicine (CBIO), Volume 219, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106735Highlights- Shallow anterior chamber depth (ACD) is a significant risk factor of angle-closure glaucoma.
Patients with angle-closure glaucoma (ACG) are asymptomatic until they experience a painful attack. Shallow anterior chamber depth (ACD) is considered a significant risk factor for ACG. We propose a ...
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- research-articleMay 2022
Characterization of motion patterns by a spatio-temporal saliency descriptor in cardiac cine MRI
Computer Methods and Programs in Biomedicine (CBIO), Volume 218, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106714Highlights- A 3D Spatio-temporal saliency descriptor generalizable to detect local cardiac motion.
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AbstractBackground and objective: Abnormalities of the heart motion reveal the presence of a disease. However, a quantitative interpretation of the motion is still a challenge due to the complex dynamics of the heart. This work proposes a ...
- research-articleApril 2022
Four-quadrant fast compressive tracking of breast ultrasound videos for computer-aided response evaluation of neoadjuvant chemotherapy in mice
Computer Methods and Programs in Biomedicine (CBIO), Volume 217, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106698Highlights- We propose a method of CEUS video tracking and compensation for mice undergoing NAC.
Neoadjuvant chemotherapy (NAC) is a valuable treatment approach for locally advanced breast cancer. Contrast-enhanced ultrasound (CEUS) potentially enables the assessment of therapeutic response to ...
- review-articleMarch 2022
A review of image processing methods for fetal head and brain analysis in ultrasound images
- Helena R. Torres,
- Pedro Morais,
- Bruno Oliveira,
- Cahit Birdir,
- Mario Rüdiger,
- Jaime C. Fonseca,
- João L. Vilaça
Computer Methods and Programs in Biomedicine (CBIO), Volume 215, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106629Highlights- A comprehensive review of image processing methods for fetal head and brain analysis in ultrasound images is provided.
Examination of head shape and brain during the fetal period is paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal abnormalities. Prenatal ultrasound is the most used ...
- research-articleMarch 2022
Facial expression recognition based on deep learning
Computer Methods and Programs in Biomedicine (CBIO), Volume 215, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106621Highlights- Autonomous driving, virtual reality and all kinds of robots integrated into our life rely on facial expression recognition technology.
Facial expression recognition technology will play an increasingly important role in our daily life. Autonomous driving, virtual reality and all kinds of robots integrated into our life depend on the ...
- review-articleMarch 2022
A multimodal Parkinson quantification by fusing eye and gait motion patterns, using covariance descriptors, from non-invasive computer vision
Computer Methods and Programs in Biomedicine (CBIO), Volume 215, Issue Chttps://doi.org/10.1016/j.cmpb.2021.106607Highlights- A multimodal fusion strategy that successfully integrates gait and eye fixational markerless patterns.
Background and objective: Parkinson’s disease (PD) is a motor neurodegenerative disease principally manifested by motor disabilities, such as postural instability, bradykinesia, tremor, and stiffness. In clinical ...
- research-articleFebruary 2022
A computer vision-based mobile tool for assessing human posture: A validation study
- Rayele Moreira,
- Renan Fialho,
- Ariel Soares Teles,
- Vinicius Bordalo,
- Samila Sousa Vasconcelos,
- Guilherme Pertinni de Morais Gouveia,
- Victor Hugo Bastos,
- Silmar Teixeira
Computer Methods and Programs in Biomedicine (CBIO), Volume 214, Issue Chttps://doi.org/10.1016/j.cmpb.2021.106565Highlights- Computer Vision-based Application, the NLMeasurer, is used for posture assessment.
- NLMeasurer semi-automatically identifies anatomical landmarks of the human body.
- NLMeasurer demonstrated to be valid for assessing human posture in ...
Background and Objective: Non-invasive methods for postural assessment are tools used for tracking and monitoring the progression of postural deviations. Different computer-based methods have been used to assess human posture, including mobile ...
- research-articleJanuary 2022
HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images
Computer Methods and Programs in Biomedicine (CBIO), Volume 213, Issue Chttps://doi.org/10.1016/j.cmpb.2021.106501Highlights- The deep learning approach is progressing day by day and has gained significant attention in medical image segmentation.
Automatic liver and tumor segmentation are essential steps to take decisive action in hepatic disease detection, deciding therapeutic planning, and post-treatment assessment. The computed tomography (CT) scan has become the choice of ...
- research-articleNovember 2021
In-depth learning of automatic segmentation of shoulder joint magnetic resonance images based on convolutional neural networks
- Xinhong Mu,
- Yi Cui,
- Rongpeng Bian,
- Long Long,
- Daliang Zhang,
- Huawen Wang,
- Yidong Shen,
- Jingjing Wu,
- Guoyou Zou
Computer Methods and Programs in Biomedicine (CBIO), Volume 211, Issue Chttps://doi.org/10.1016/j.cmpb.2021.106325Highlights- CNN is used to segment multiple bone joints to assist medical diagnosis.
- Image ...
Magnetic resonance imaging (MRI) is gradually replacing computed tomography (CT) in the examination of bones and joints. The accurate and automatic segmentation of the bone structure in the MRI of the shoulder ...
- research-articleSeptember 2021
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos
- Priyanto Hidayatullah,
- Xueting Wang,
- Toshihiko Yamasaki,
- Tati L.E.R. Mengko,
- Rinaldi Munir,
- Anggraini Barlian,
- Eros Sukmawati,
- Supraptono Supraptono
Computer Methods and Programs in Biomedicine (CBIO), Volume 209, Issue Chttps://doi.org/10.1016/j.cmpb.2021.106302Highlights- Sperm-cell detection in densely populated semen presents more difficult challenges.
Object detection is a primary research interest in computer vision. Sperm-cell detection in a densely populated bull semen microscopic observation video presents challenges that are more difficult ...