Unleashing the power of self-supervised image denoising: A comprehensive review
The advent of deep learning has brought a revolutionary transformation to image denoising
techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised …
techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised …
Unveiling breast cancer risk profiles: a survival clustering analysis empowered by an online web application
Aim: To develop a shiny app for doctors to investigate breast cancer treatments through a
new approach by incorporating unsupervised clustering and survival information. Materials …
new approach by incorporating unsupervised clustering and survival information. Materials …
Multimodal 3D Mouse Brain Atlas Framework with the Skull-Derived Coordinate System
J Perens, CG Salinas, U Roostalu, JL Skytte… - Neuroinformatics, 2023 - Springer
Magnetic resonance imaging (MRI) and light-sheet fluorescence microscopy (LSFM) are
technologies that enable non-disruptive 3-dimensional imaging of whole mouse brains. A …
technologies that enable non-disruptive 3-dimensional imaging of whole mouse brains. A …
[HTML][HTML] Exploring longitudinal MRI-based deep learning analysis in Parkinson's patients-A short survey focus on handedness
Parkinson's Disease (PD) is a prevalent progressive neurodegenerative condition affecting
millions globally. Research has found that individuals with PD have a reduced risk of certain …
millions globally. Research has found that individuals with PD have a reduced risk of certain …
Biological constraints on stereotaxic targeting of functionally-defined cortical areas
DP Narayanan, H Tsukano, AM Kline… - Cerebral …, 2023 - academic.oup.com
Understanding computational principles in hierarchically organized sensory systems
requires functional parcellation of brain structures and their precise targeting for …
requires functional parcellation of brain structures and their precise targeting for …
Automated ventricle parcellation and evan's ratio computation in pre-and post-surgical ventriculomegaly
Normal pressure hydrocephalus (NPH) is a brain disorder associated with enlarged
ventricles and multiple cognitive and motor symptoms. The degree of ventricular …
ventricles and multiple cognitive and motor symptoms. The degree of ventricular …
Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation Through Disconnected Components Repair and Open Curve Snake
The segmentation of cardiovascular arteries in 3D medical images holds significant promise
for assessing vascular health. Despite the progress in current methodologies, there remain …
for assessing vascular health. Despite the progress in current methodologies, there remain …
Investigation of probability maps in deep-learning-based brain ventricle parcellation
Normal Pressure Hydrocephalus (NPH) is a brain disorder associated with
ventriculomegaly. Accurate segmentation of the ventricle system into its sub-compartments …
ventriculomegaly. Accurate segmentation of the ventricle system into its sub-compartments …
Efficient annotation for medical image analysis: A one-pass selective annotation approach
Annotating biomedical images for supervised learning is a complex and labor-intensive task
due to data diversity and its intricate nature. In this paper, we propose an innovative method …
due to data diversity and its intricate nature. In this paper, we propose an innovative method …
Deep learning-based image registration method: with application to scanning laser ophthalmoscopy (slo) longitudinal images
This work reports a deep-learning based registration algorithm that aligns scanning laser
ophthalmoscopy (SLO) retinal images collected from a longitudinal pre-clinical animal study …
ophthalmoscopy (SLO) retinal images collected from a longitudinal pre-clinical animal study …