Beyond the pixel-wise loss for topology-aware delineation
A Mosinska, P Marquez-Neila… - Proceedings of the …, 2018 - openaccess.thecvf.com
Delineation of curvilinear structures is an important problem in Computer Vision with
multiple practical applications. With the advent of Deep Learning, many current approaches …
multiple practical applications. With the advent of Deep Learning, many current approaches …
TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
Neuron morphology is recognized as a key determinant of cell type, yet the quantitative
profiling of a mammalian neuron's complete three-dimensional (3-D) morphology remains …
profiling of a mammalian neuron's complete three-dimensional (3-D) morphology remains …
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts
The splendid success of convolutional neural networks (CNNs) in computer vision is largely
attributable to the availability of massive annotated datasets, such as ImageNet and Places …
attributable to the availability of massive annotated datasets, such as ImageNet and Places …
Metabox+: A new region based active learning method for semantic segmentation using priority maps
We present a novel region based active learning method for semantic image segmentation,
called MetaBox+. For acquisition, we train a meta regression model to estimate the segment …
called MetaBox+. For acquisition, we train a meta regression model to estimate the segment …
Joint segmentation and path classification of curvilinear structures
Detection of curvilinear structures in images has long been of interest. One of the most
challenging aspects of this problem is inferring the graph representation of the curvilinear …
challenging aspects of this problem is inferring the graph representation of the curvilinear …
Inference of cerebrovascular topology with geodesic minimum spanning trees
A vectorial representation of the vascular network that embodies quantitative features—
location, direction, scale, and bifurcations—has many potential cardio-and neuro-vascular …
location, direction, scale, and bifurcations—has many potential cardio-and neuro-vascular …
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures
The difficulty of obtaining annotations to build training databases still slows down the
adoption of recent deep learning approaches for biomedical image analysis. In this paper …
adoption of recent deep learning approaches for biomedical image analysis. In this paper …
Tracing cell lineages in videos of lens-free microscopy
M Rempfler, V Stierle, K Ditzel, S Kumar… - Medical image …, 2018 - Elsevier
In vitro experiments with cultured cells are essential for studying their growth and migration
pattern and thus, for gaining a better understanding of cancer progression and its treatment …
pattern and thus, for gaining a better understanding of cancer progression and its treatment …
Cnn driven sparse multi-level b-spline image registration
P Jiang, JA Shackleford - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Traditional single-grid and pyramidal B-spline parameterizations used in deformable image
registration require users to specify control point spacing configurations capable of …
registration require users to specify control point spacing configurations capable of …
Systems, methods, and/or media, for selecting candidates for annotation for use in training a classifier
J Liang, Z Zhou, J Shin - US Patent 12,118,455, 2024 - Google Patents
Abstract Systems for selecting candidates for labelling and use in training a convolutional
neural network (CNN) are provided, the systems comprising: a memory device; and at least …
neural network (CNN) are provided, the systems comprising: a memory device; and at least …