Results 141 to 150 of about 1,160,554 (311)

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation [PDF]

open access: yesMedical Image Analysis, 2021, 2020
Segmentation of brain structures from magnetic resonance (MR) scans plays an important role in the quantification of brain morphology. Since 3D deep learning models suffer from high computational cost, 2D deep learning methods are favored for their computational efficiency.
arxiv  

Reproductive tract biology: Of mice and men. [PDF]

open access: yes, 2019
The study of male and female reproductive tract development requires expertise in two separate disciplines, developmental biology and endocrinology.
Baskin, Laurence S   +5 more
core  

An intravital window to image the colon in real time

open access: yesNature Communications, 2019
Performing intravital imaging of the colon in mouse models is challenging due to the colon’s anatomic location and motility. Here, the authors develop a murine colonic window for intravital chronic imaging that maximises long-term animal survival and ...
Nikolai Rakhilin   +14 more
doaj   +1 more source

Determination of Face and Content Validity of Cadaveric Model for Holmium Anatomic Endoscopic Enucleation of the Prostate Training: An ESUT AEEP Group Study

open access: yesEuropean Urology Open Science, 2021
Background: Bench and virtual reality nonbiological simulator models for anatomic endoscopic enucleation of the prostate (AEEP) surgery have been reported in the literature. These models are acceptable but have limited practical applications.
Lutfi Tunc   +10 more
doaj  

Integrative Bayesian Analysis of Brain Functional Networks Incorporating Anatomical Knowledge [PDF]

open access: yesarXiv, 2018
Recently, there has been increased interest in fusing multimodal imaging to better understand brain organization. Specifically, accounting for knowledge of anatomical pathways connecting brain regions should lead to desirable outcomes such as increased accuracy in functional brain network estimates and greater reproducibility of topological features ...
arxiv  

The Anatomical Basis for Dystonia: The Motor Network Model

open access: yesTremor and Other Hyperkinetic Movements, 2017
Background: The dystonias include a clinically and etiologically very diverse group of disorders. There are both degenerative and non-degenerative subtypes resulting from genetic or acquired causes. Traditionally, all dystonias have been viewed as disorders of the basal ganglia.
Jinnah, H. A.   +2 more
openaire   +5 more sources

All-Epiphyseal Physeal-Sparing Anterior Cruciate Ligament Reconstructive Surgery: A Study of 3-Dimensional Modeling to Characterize a Safe and Reproducible Surgical Approach

open access: yesArthroscopy, Sports Medicine, and Rehabilitation, 2020
Purpose: The purpose of this study was to use 3-dimensional magnetic resonance imaging modeling of the skeletally immature knee to help characterize safe and reproducible tunnel positions, diameters, lengths, trajectories, and distances from anatomic ...
Daniel A. Marchwiany, M.D.   +4 more
doaj  

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models [PDF]

open access: yesarXiv
Diffusion models have enabled remarkably high-quality medical image generation, yet it is challenging to enforce anatomical constraints in generated images. To this end, we propose a diffusion model-based method that supports anatomically-controllable medical image generation, by following a multi-class anatomical segmentation mask at each sampling ...
arxiv  

Reinvigorating postpartum intrauterine contraceptive device use in Pakistan: an observational assessment of competency-based training of health providers using low-cost simulation models

open access: yesBMC Medical Education, 2019
Background Improved training approaches have the potential to overcome barriers to the use of postpartum intrauterine devices (PPIUDs) in Pakistan, including a shortage of female providers who are able to insert the device.
Zonobia Zafar   +5 more
doaj   +1 more source

BioAtt: Anatomical Prior Driven Low-Dose CT Denoising [PDF]

open access: yesarXiv
Deep-learning-based denoising methods have significantly improved Low-Dose CT (LDCT) image quality. However, existing models often over-smooth important anatomical details due to their purely data-driven attention mechanisms. To address this challenge, we propose a novel LDCT denoising framework, BioAtt.
arxiv  

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