A Deep‐Learning Model with Learnable Group Convolution and Deep Supervision for Brain Tumor Segmentation
H Liu, Q Li, IC Wang - Mathematical Problems in Engineering, 2021 - Wiley Online Library
The segmentation of brain tumors in medical images is a crucial step of clinical treatment.
Manual segmentation is time consuming and labor intensive, and existing automatic …
Manual segmentation is time consuming and labor intensive, and existing automatic …
Deformable models with sparsity constraints for cardiac motion analysis
Deformable models integrate bottom-up information derived from image appearance cues
and top-down priori knowledge of the shape. They have been widely used with success in …
and top-down priori knowledge of the shape. They have been widely used with success in …
Temporal spectral residual for fast salient motion detection
Motion saliency detection aims at finding the semantic regions in a video sequence. It is an
important pre-processing step in many vision applications. In this paper, we propose a new …
important pre-processing step in many vision applications. In this paper, we propose a new …
Molecular surface maps
M Krone, F Friess, K Scharnowski… - … on Visualization and …, 2016 - ieeexplore.ieee.org
We present Molecular Surface Maps, a novel, view-independent, and concise
representation for molecular surfaces. It transfers the well-known world map metaphor to …
representation for molecular surfaces. It transfers the well-known world map metaphor to …
[图书][B] Deformable models in medical image segmentation
M Becker, N Magnenat-Thalmann - 2014 - Springer
Today medical imaging techniques are very common and frequently used. To assist doctors
and to perform automated analysis, the images have to be segmented by organ or region of …
and to perform automated analysis, the images have to be segmented by organ or region of …
Comparative visualization of molecular surfaces using deformable models
The comparison of molecular surface attributes is of interest for computer aided drug design
and the analysis of biochemical simulations. Due to the non‐rigid nature of molecular …
and the analysis of biochemical simulations. Due to the non‐rigid nature of molecular …
Sparse deformable models with application to cardiac motion analysis
Deformable models have been widely used with success in medical image analysis. They
combine bottom-up information derived from image appearance cues, with top-down shape …
combine bottom-up information derived from image appearance cues, with top-down shape …
Automatic liver segmentation and hepatic fat fraction assessment in MRI
Automated assessment of hepatic fat fraction is clinically important. A robust and precise
segmentation would enable accurate, objective and consistent measurement of liver fat …
segmentation would enable accurate, objective and consistent measurement of liver fat …
Verifying interoperability and application performance of PMUs and PMU-enabled IEDs at the device and system level
M Kezunovic - 2012 IEEE PES Innovative Smart Grid …, 2012 - ieeexplore.ieee.org
As a result of the American Recovery and Reinvestment Act (ARRA) funding and other
unrelated infrastructure investment plans in the utilities it is expected that the number of …
unrelated infrastructure investment plans in the utilities it is expected that the number of …
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification
Quantification of the thigh inter-muscular adipose tissue (IMAT) plays a critical role in various
medical data analysis tasks, eg, the analysis of physical performance or the diagnosis of …
medical data analysis tasks, eg, the analysis of physical performance or the diagnosis of …