An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
This paper presents an open, multi-vendor, multi-field strength magnetic resonance (MR) T1-
weighted volumetric brain imaging dataset, named Calgary-Campinas-359 (CC-359). The …
weighted volumetric brain imaging dataset, named Calgary-Campinas-359 (CC-359). The …
[HTML][HTML] Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review
Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …
[HTML][HTML] Mindboggling morphometry of human brains
Mindboggle (http://mindboggle. info) is an open source brain morphometry platform that
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …
3D whole brain segmentation using spatially localized atlas network tiles
Detailed whole brain segmentation is an essential quantitative technique in medical image
analysis, which provides a non-invasive way of measuring brain regions from a clinical …
analysis, which provides a non-invasive way of measuring brain regions from a clinical …
[HTML][HTML] Connectivity precedes function in the development of the visual word form area
What determines the cortical location at which a given functionally specific region will arise
in development? We tested the hypothesis that functionally specific regions develop in their …
in development? We tested the hypothesis that functionally specific regions develop in their …
[HTML][HTML] The ANTsX ecosystem for quantitative biological and medical imaging
Abstract The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of
multiple open-source software libraries which house top-performing algorithms used …
multiple open-source software libraries which house top-performing algorithms used …
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy
Whole brain segmentation from structural magnetic resonance imaging (MRI) is a
prerequisite for most morphological analyses, but is computationally intense and can …
prerequisite for most morphological analyses, but is computationally intense and can …
[HTML][HTML] Direct electrical stimulation of the human entorhinal region and hippocampus impairs memory
Deep brain stimulation (DBS) has shown promise for treating a range of brain disorders and
neurological conditions. One recent study showed that DBS in the entorhinal region …
neurological conditions. One recent study showed that DBS in the entorhinal region …
[HTML][HTML] AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation
Whole brain segmentation of fine-grained structures using deep learning (DL) is a very
challenging task since the number of anatomical labels is very high compared to the number …
challenging task since the number of anatomical labels is very high compared to the number …
LMNS-Net: Lightweight Multiscale Novel Semantic-Net deep learning approach used for automatic pancreas image segmentation in CT scan images
P Paithane, S Kakarwal - Expert Systems with Applications, 2023 - Elsevier
In the study and research of medical images, the sharp and smooth pancreatic segmentation
challenge is a critical and challenging one. The most widely utilized and effective technique …
challenge is a critical and challenging one. The most widely utilized and effective technique …