Results 221 to 230 of about 1,122,667 (310)

Fractal dimension-based multi-focus image fusion via distance-weighted regional energy in curvelet domain. [PDF]

Sci Rep
Lv M, Jia Z, Le W, Li L, Ma H.
europepmc   +1 more source

An Explainable Self‐Supervised Temporal Transformer for Participant‐Level Classification of Depressive Symptoms From Resting‐State EEG

International Journal of Methods in Psychiatric Research, Volume 35, Issue 4, December 2026.
ABSTRACT Background Resting‐state electroencephalography (EEG) has emerged as a promising non‐invasive modality for investigating depressive symptoms; however, conventional deep‐learning methods often require large labeled datasets and provide limited interpretability.
Pushpamala Ramaiah, Ibtesam Nomani, Hayam Ibrahim Asfour, Mirza R. Baig, Maksudjan Yuldashev, Ibrokhim Sapaev, Zein Bassam Bani Younes, Sumit Sharma, Mahesh Manchanda, Mohamad Ahmad Saleem Khasawneh, Majid S. Jabir   +10 more
wiley   +1 more source

Trabecular bone remodelling following lateral window maxillary sinus augmentation with allograft versus xenograft: a retrospective one-year comparative fractal dimension analysis. [PDF]

BMC Oral Health
Keldal G, Çolak S.
europepmc   +1 more source

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2795-2802, December 2026.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca R Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer A Steeden, Vivek Muthurangu   +10 more
wiley   +1 more source

Fractal dimension of steel slag foamed concrete and its connection with compressive strength. [PDF]

Sci Rep
Chen Q, Shao F, Xiang G, Huang Z, Xu R, Zhang M.   +5 more
europepmc   +1 more source

ArteryX: A Reliable End‐To‐End Toolbox for Standardized Intracranial Artery Feature Extraction From 3D TOF‐MRA

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2914-2924, December 2026.
ABSTRACT Cerebrovascular research heavily relies on quantitative analysis of intracranial arteries from time‐of‐flight magnetic resonance angiography (TOF‐MRA), yet existing processing pipelines remain limited by inconsistent artery labeling and a high manual correction burden.
Abrar Faiyaz, Nhat Hoang, Giovanni Schifitto, Md Nasir Uddin   +3 more
wiley   +1 more source

T1- and diffusion tensor-based fractal dimension of white and grey matter in multiple sclerosis. [PDF]

Front Neurol
Mazur-Rosmus W, Schneider Z, Słowik A, Krzyżak AT.   +3 more
europepmc   +1 more source

Affordable, practical, and robust biomass estimation in rice with minimal equipment using deep learning‐based image segmentation

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant biomass measurements are critical for crop improvement and breeding programs. Such measurements rely on destructive and labor‐intensive methods that limit continuous measurements of biomass over plant growth stages and time. This study aimed to develop an inexpensive, nondestructive method for estimating aboveground biomass in rice ...
John R. Mitchell, Jai S. Rohila, Trevis D. Huggins, Sathish K. Ponniah, Jeremy D. Edwards   +4 more
wiley   +1 more source

A non-destructive method for measuring the surface fractal dimension of foam concrete. [PDF]

Sci Rep
Chen Q, Feng Y, Xiang G, Bai Y, Huang Z.
europepmc   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source