Development of a Rapid Method for Residence Time Distribution Measurement in Twin-Screw Wet Granulation Based on Image Processing with Lab Color Space by Jie Zhao, Geng Tian, Ying Tian, Haibin Qu

“…It is necessary to overcome the limitations arising from the complex and time-consuming procedures of conventional RTD determination methods. …”
Get full text

Biobanking for discovery of novel cardiovascular biomarkers using imaging-quantified disease burden: protocol for the longitudinal, prospective, BioHEART-CT cohort study by Clara Chow, Leonard Kritharides, Sanjay Patel, Katharine A Kott, Stephen T Vernon, Thomas Hansen, Christine Yu, Kristen J Bubb, Sean Coffey, David Sullivan, Jean Yang, John O'Sullivan, James Chong, David S Celermajer, Stuart M Grieve, Gemma A Figtree

“…Discovery analysis will be performed in the first 1000 patients of BioHEART-CT, with validation analysis in the following 4000 patients. …”
Get full text

Multimedia system of computer-assisted analysis of agricultural mechanical movements by SONG Hui-zhi, ZHANG Zu-pin

“…With the help of this computer multimedia assisted analysis, all the mechanical movements of the machinery during the process can be visualized as a vivid image. …”
Get full text

ScaleViM-PDD: Multi-Scale EfficientViM with Physical Decoupling and Dual-Domain Fusion for Remote Sensing Image Dehazing by Hao Zhou, Yalun Wang, Wanting Peng, Xin Guan, Tao Tao

“…Remote sensing images are often degraded by atmospheric haze, which not only reduces image quality but also complicates information extraction, particularly in high-level visual analysis tasks such as object detection and scene classification. …”
Get full text

Enabling Chemical Holography: A Comprehensive Framework and Implementation by Shihao Ran, David Mayerich, Rohith Reddy

“…Combining a spatially coherent quantum cascade laser (QCL) source with an interferometer and imaging system can provide a phase-sensitive platform for molecular analysis. …”
Get full text

CARDIAC MAGNETIC RESONANCE IMAGING AND POSITRON EMISSION TOMOGRAPHY IN THE PREDICTION OF LEFT VENTRICULAR DYSFUNCTION REVERSIBILITY IN PATIENTS WITH CHRONIC TOTALLY OCCLUDED CORONA... by D. V. Ryzhkova, I. S. Kostina

“…In patients with ceMRI contraindications, a complex PET assessment of myocardial perfusion and metabolism is recommended. …”
Get full text

The effectiveness of cardiac resynchronization therapy in patients with chronic heart failure of various origin depending on the structural myocardial injury in cardiac magnetic re... by O. V. Stukalova, N. A. Mironova, M. D. Utsumueva, S. Yu. Kashtanova, E. A. Butorova, V. N. Shitov, G. S. Tarasovsky, S. P. Golitsyn, S. K. Ternovoy

“…Forty seven patients with ischemic and non-ischemic HF (age 62,3±8,9 years (mean±SD), 44,6% females and 55,4% males), left ventricle (LV) ejection fraction <35%, QRS complex >130 ms, and sinus rhythm were included in the study. …”
Get full text

A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

“…This research tackles the complex task of implementing domain adaptation for task of mitochondria segmentation in electron microscopy images obtained from various tissues and species, employing deep learning methodologies. …”
Get full text

Automated Whole-Liver Fat Quantification with Magnetic Resonance Imaging-Derived Proton Density Fat Fraction Map: A Prospective Study in Taiwan by Chih-Horng Wu, Kuang-Chen Yen, Li-Ying Wang, Ping-Lun Hsieh, Wei-Kai Wu, Pei-Lin Lee, Chun-Jen Liu

“…Background/Aims : Magnetic resonance imaging (MRI) with a proton density fat fraction (PDFF) sequence is the most accurate, noninvasive method for assessing hepatic steatosis. …”
Get full text

Deep learning for quantitative dynamic fragmentation analysis by Erwin Cazares, Brian E. Schuster

Get full text

Analyzing cryptographic algorithm efficiency with in graph-based encryption models by Yashmin Banu, Biplab Kumar Rath, Debasis Gountia

“…In this study, we analyze the performance of RSA and ElGamal cryptographic algorithms by evaluating time and space complexity across various file types, including text, image, audio, and data of different sizes. …”
Get full text

A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures by Mohamed Chetoui, Moulay A. Akhloufi

“…Accurate segmentation of blood vessels in retinal images presents a challenging task due to noise, low contrast, and the complex morphology of blood vessel structures. …”
Get full text

A Hybrid Deep Learning Framework for Accurate Cell Segmentation in Whole Slide Images Using YOLOv11, StarDist, and SAM2 by Julius Bamwenda, Mehmet Siraç Özerdem, Orhan Ayyıldız, Veysı Akpolat

“…Accurate segmentation of cellular structures in whole slide images (WSIs) is essential for quantitative analysis in computational pathology. …”
Get full text

A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

Get full text

Quantitative and Qualitative Evaluation of Microplastic Contamination of Shrimp Using Visible Near-Infrared Multispectral Imaging Technology Combined with Supervised Self-Organizin... by Sureerat Makmuang, Abderrahmane Aït-Kaddour

“…This study presents a novel, non-destructive visible near-infrared multispectral imaging (Vis-NIR-MSI) method combined with a supervised self-organizing map (SOM) to enable rapid qualitative and quantitative analysis of MPs in seafood. …”
Get full text

A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…Firstly, a combined background segmentation method based on contrast enhancement filtering combined with ultra-green eigenvalues and the Otsu algorithm was proposed to remove the complex background in remote sensing images and retain the morphological information of soybean seedlings. …”
Get full text

Artificial intelligence in environmental monitoring: in-depth analysis by Emran Alotaibi, Nadia Nassif

“…The integration of AI with emerging technologies, such as the Internet of Things (IoT) and remote sensing, has significantly expanded real-time environmental monitoring capabilities and data-driven decision-making. In-depth analysis reveals advancements in AI/ML methodologies, including novel algorithms for soil mapping, land-cover classification, flood susceptibility modeling, and remote sensing image analysis. …”
Get full text

Analysis Sparse Representation for Nonnegative Signals Based on Determinant Measure by DC Programming by Yujie Li, Benying Tan, Atsunori Kanemura, Shuxue Ding, Wuhui Chen

“…The analysis sparse representation can be cast in three subproblems, sparse coding, dictionary update, and signal update, because the determinant-type sparsity measure would result in a complex nonconvex optimization problem, which cannot be easily solved by standard convex optimization methods. …”
Get full text

Flow Field Analysis of Adult High-Flow Nasal Cannula Oxygen Therapy by Jingen Xia, Jiaqi Chang, Jixiang Liang, Yixuan Wang, Na Wang

Get full text

An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation by Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, Mohd Asif Shah, Sami Azam

Get full text