International journal of computer assisted radiology and surgery
Feb 23, 2026
PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike most conventional systems that rely on registration to preoperative imaging, the proposed system provi... read more
Journal of computational neuroscience
Feb 23, 2026
The human brain is a complex adaptive system characterized by dynamic processes operating across multiple spatio-temporal scales. Capturing these dynamics requires computational models that can integrate different levels of resolution. In this work w... read more
OBJECTIVE: Retropharyngeal edema (RPE) on MRI in patients with acute neck infection is associated with disease severity. We explored the potential role of RPE volume as a quantitative marker and developed a convolutional neural network (CNN) for auto... read more
BACKGROUND: Accurate esophageal cancer staging relies on 18F fluorodeoxyglucose positron emission tomography (18F FDG-PET), but its interpretation is complex and time-intensive. This diagnostic burden is exacerbated by significant workforce shortages... read more
Increasing evidence suggests that Graves' disease (GD) may increase the risk of thyroid cancer (THCA), but diagnostic biomarkers associated with it remain underexplored. To address this issue, we analyzed the Gene Expression Omnibus (GEO) and TCGA (T... read more
IEEE transactions on computational biology and bioinformatics
Feb 23, 2026
Identifying transcription factors (TFs) interacting with target genes plays a crucial role in regulating gene expression, providing deep insights into the molecular mechanisms involved in biological processes and diseases, while also opening new oppo... read more
IEEE transactions on bio-medical engineering
Feb 23, 2026
OBJECTIVE: Magnetic Resonance Elastography (MRE) is a non-invasive imaging technique for mapping biomechanical properties of in vivo tissue, including shear wave speed (SWS), but involves intrinsically slow data acquisition and an ill-posed wave inve... read more
Biomechanical modelling of soft tissue provides a method for constraining medical image registration, such that the estimated spatial transformation is considered biophysically plausible. Existing methods either directly optimize the loss function co... read more
IEEE transactions on neural networks and learning systems
Feb 23, 2026
Continuous finger position estimation from surface electromyography (EMG) enables smoother, more intuitive control in human-machine interfaces than discrete gesture classification. Accurate regression, however, requires effective temporal modeling an... read more
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