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Compressed vision-language models (VLMs) are widely used to reduce memory and compute costs, making them a suitable choice for real-world deployment. However, compressing these models raises concerns about whether internal computations and…

Artificial Intelligence · Computer Science 2026-03-27 Veeraraju Elluru , Arth Singh , Roberto Aguero , Ajay Agarwal , Debojyoti Das , Hreetam Paul

This study introduces a novel muscle activation analysis based on surface electromyography (sEMG) signals to assess the muscle's after-fatigue condition. Previous studies have mainly focused on the before-fatigue and fatigue conditions.…

Signal Processing · Electrical Eng. & Systems 2023-09-12 Van Hieu Nguyen , Gia Thien Luu , Thien Van Luong , Mai Xuan Trang , Philippe Ravier , Olivier Buttelli

Airway constriction and blockage in obstructive lung diseases cause ventilation heterogeneity and create barriers to effective drug deposition. Established computational particle-deposition models have not accounted for these impacts of…

Tissues and Organs · Quantitative Biology 2024-10-17 James D. Shemilt , Alex Horsley , Jim M. Wild , Oliver E. Jensen , Alice B. Thompson , Carl A. Whitfield

A nonlinear continuum theory is advanced for high-rate mechanics and thermodynamics of liver parenchyma. The homogenized continuum is idealized as a solid-fluid mixture of dense viscoelastic tissue and liquid blood. The solid consists of a…

Soft Condensed Matter · Physics 2025-09-30 John D. Clayton

Computer vision methods typically optimize for first-order dynamics (e.g., optical flow). However, in many cases the properties of interest are subtle variations in higher-order changes, such as acceleration. This is true in the cardiac…

Image and Video Processing · Electrical Eng. & Systems 2022-03-29 Brian L. Hill , Xin Liu , Daniel McDuff

Protocol optimization is critical in Computed Tomography (CT) to achieve high diagnostic image quality while minimizing radiation dose. However, due to the complex interdependencies among CT acquisition and reconstruction parameters,…

We demonstrate flow rectification, valveless pumping or AC-to-DC conversion in macroscale fluidic networks with loops. Inspired by the unique anatomy of bird lungs and the phenomenon of directed airflow throughout the respiration cycle, we…

Radiation therapy of thoracic and abdominal tumors requires incorporating the respiratory motion into treatments. To precisely account for the patient respiratory motions and predict the respiratory signals, a generalized model for…

Medical Physics · Physics 2019-05-22 Hui Lin , Chengyu Shi , Brian Wang , Maria F. Chan , Xiaoli Tang , Wei Ji

Respiratory sinus arrhythmia (RSA) is heart rate variability in synchrony with respiration although its functional significance not clear. The loss of sinus arrhythmia may indicate underlying heart failure or disease; therefore, there would…

Tissues and Organs · Quantitative Biology 2020-04-24 Sahar Rahbar

Individuals post stroke experience motor impairments, such as loss of independent joint control, leading to an overall reduction in arm function. Their motion becomes slower and more discoordinated, making it difficult to complete…

CT image-guided thermal ablation is widely used for lung cancer treatment; however, follow-up data indicate that physicians' subjective assessments of intraoperative images often overestimate the ablation effect, potentially leading to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-09 Wan Li , Wei Li , Moheng Rong , Yutao Rao , Hui Tang , Yudong Zhang , Feng Wang

There is currently limited understanding of the role played by haemodynamic forces on the processes governing vascular development. One of many obstacles to be overcome is being able to measure those forces, at the required resolution…

Manual segmentation of the Left Ventricle (LV) is a tedious and meticulous task that can vary depending on the patient, the Magnetic Resonance Images (MRI) cuts and the experts. Still today, we consider manual delineation done by experts as…

Computer Vision and Pattern Recognition · Computer Science 2018-01-09 Alexandre Attia , Sharone Dayan

Background. Studies have shown that the conventional left ventricular mechanical dyssynchrony (LVMD) parameters have their own statistical limitations. The purpose of this study is to extract new LVMD parameters from the phase analysis of…

Medical Physics · Physics 2023-12-22 Zhuo He , Xinwei Zhang , Chen Zhao , Zhiyong Qian , Yao Wang , Xiaofeng Hou , Jiangang Zou , Weihua Zhou

Reduced-order models based on physics are a popular choice in cardiovascular modeling due to their efficiency, but they may experience reduced accuracy when working with anatomies that contain numerous junctions or pathological conditions.…

Advancing loss function design is pivotal for optimizing neural network training and performance. This work introduces Random Linear Projections (RLP) loss, a novel approach that enhances training efficiency by leveraging geometric…

Machine Learning · Computer Science 2024-06-03 Shyam Venkatasubramanian , Ahmed Aloui , Vahid Tarokh

Non-small cell lung cancer (NSCLC) is often intrinsically resistant to several first- and second-line therapeutics and can rapidly acquire further resistance after a patient begins receiving treatment. Treatment outcomes are therefore…

Biomolecules · Quantitative Biology 2024-10-23 Benjamin K. Schneider , Sebastien Benzekry , Jonathan P. Mochel

Hospital readmissions following coronary artery bypass grafting (CABG) not only impose a substantial cost burden on healthcare systems but also serve as a potential indicator of the quality of medical care. Previous studies of gender…

Applications · Statistics 2025-08-21 Henan Xu , Yeying Zhu , Donna L. Coffman

Nasal breathing difficulties (NBD) are widespread and difficult to diagnose; the failure rate of their surgical corrections is high. Computational Fluid Dynamics (CFD) enables diagnosis of NBD and surgery planning, by comparing a…

Fluid Dynamics · Physics 2023-08-23 Eric Segalerba , Gabriele Dini Ciacci , Maurizio Quadrio , Jan O. Pralits

Exoskeleton robots have become a promising tool in neurorehabilitation, offering effective physical therapy and recovery monitoring. The success of these therapies relies on precise motion control systems. Although computed torque control…

Robotics · Computer Science 2024-10-11 SK Hasan