Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

258
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
258
Lewis Acids and Bases02:33

Lewis Acids and Bases

48.4K
In 1923, G. N. Lewis proposed a generalized definition of acid-base behavior in which acids and bases are identified by their ability to accept or to donate a pair of electrons and form a coordinate covalent bond.
A coordinate covalent bond (or dative bond) occurs when one of the atoms in the bond provides both bonding electrons. For example, a coordinate covalent bond occurs when a water molecule combines with a hydrogen ion to form a hydronium ion. A coordinate covalent bond also results when...
48.4K
Weak Base Solutions03:21

Weak Base Solutions

25.3K
Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
25.3K
Base Excision Repair01:54

Base Excision Repair

26.4K
One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
The first step of...
26.4K
Ions as Acids and Bases02:54

Ions as Acids and Bases

26.5K
Salts with Acidic Ions
Salts are ionic compounds composed of cations and anions, either of which may be capable of undergoing an acid or base ionization reaction with water. Aqueous salt solutions, therefore, may be acidic, basic, or neutral, depending on the relative acid-base strengths of the salt’s constituent ions. For example, dissolving the ammonium chloride in water results in its dissociation, as described by the equation:
26.5K
DNA Base Pairing02:27

DNA Base Pairing

33.3K
Erwin Chargaff’s rules on DNA equivalence paved the way for the discovery of base pairing in DNA. Chargaff’s rules state that in a double-stranded DNA molecule,
33.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Long-term repeatability, accuracy, and brain size dependence of automatic VOI localization in single-voxel MRS.

Journal of neuroscience methods·2026
Same author

Residual Water Suppression in MRS Using HLSVD With Automatic Component Selection Strategy.

NMR in biomedicine·2026
Same author

Advancing free-breathing liver diffusion-weighted imaging with Propeller-EPI: Improved image quality and ADC repeatability.

Medical physics·2025
Same author

Exploring Alpha Desynchronization in Alzheimer's Disease Using Coherence Analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

A Pilot Study on Simultaneous Estimation of Cerebral Capillary Permeability to Glucose Using the Extended Patlak Method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Human Proteoglycan Linkage Region Glycosyltransferases are Dimeric and Show Unexpected Specificities.

Angewandte Chemie (International ed. in English)·2025
Same journal

Incremental diagnostic value of microstructural time-dependent diffusion MRI in differentiating PCNSL from glioblastoma over conventional MRI.

Magnetic resonance imaging·2026
Same journal

Enhanced motion compensation for free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling.

Magnetic resonance imaging·2026
Same journal

The allegory of the cave: 10 years of AI shadows in radiology.

Magnetic resonance imaging·2026
Same journal

Conversion of 3 T liver, spleen, pancreas, and kidney R2* measurements to 1.5 T R2* equivalents: Validation of a theoretical framework.

Magnetic resonance imaging·2026
Same journal

Cine-derived mitral annular relaxation velocity for detection of preclinical left ventricular diastolic dysfunction.

Magnetic resonance imaging·2026
Same journal

Bone marrow fat fraction and R2* in sickle cell disease: Associations with hemolysis, iron metabolism, and disease severity.

Magnetic resonance imaging·2026
See all related articles

Related Experiment Video

Updated: Feb 6, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.8K

DeepVBM: A fully automatic and efficient voxel-based morphometry via deep learning-based segmentation and

Pei-Mao Sun1, Teng-Yi Huang1, Tzu-Chao Chuang2

  • 1Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.

Magnetic Resonance Imaging
|February 4, 2026
PubMed
Summary
This summary is machine-generated.

FuseMorph, a deep learning method, significantly reduces computational demands for brain imaging analysis. This enables efficient, large-scale neuroimaging studies, aiding in early detection of neurodegenerative diseases.

Keywords:
Automated neuroimaging analysisBrain MRIDeep learningImage registrationVoxel-based morphometry

More Related Videos

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.4K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.5K

Related Experiment Videos

Last Updated: Feb 6, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.8K
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.4K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.5K

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Artificial Intelligence in Medicine

Background:

  • Voxel-based morphometry (VBM) is crucial for analyzing brain structure using MRI.
  • Conventional VBM faces computational challenges, hindering large-scale neuroimaging database analysis.

Purpose of the Study:

  • Introduce FuseMorph, a deep learning registration method to overcome VBM computational hurdles.
  • Develop DeepVBM, an automated pipeline for efficient processing of high-resolution MRI datasets.

Main Methods:

  • FuseMorph refines registration via iterative inference and parameter search, avoiding full backpropagation.
  • DeepVBM integrates FuseMorph for streamlined, automated VBM analysis.
  • Validation on multiple datasets, including Alzheimer's disease cohorts.

Main Results:

  • FuseMorph achieves registration accuracy comparable to state-of-the-art methods, even on CPUs.
  • DeepVBM substantially reduces computation time for MRI processing.
  • Successfully detected gray matter atrophy patterns in Alzheimer's disease patients.

Conclusions:

  • FuseMorph and DeepVBM offer an accessible, efficient, and scalable solution for neuroimaging research.
  • The method shows potential for early detection and monitoring of neurodegenerative changes.
  • Facilitates efficient analysis of large, multi-center neuroimaging studies.