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Found 8 papers, 5 papers with code
Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptation
Accurate analysis and modeling of renal functions require a precise segmentation of the renal blood vessels.
Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images
Low signal-to-noise ratios, movement of molecules out-of-focus, and high motion blur on images recorded with scanning two-photon microscopy (2PM) in vivo pose a challenge to the accurate localisation of molecules.
A Hybrid Approach to Full-Scale Reconstruction of Renal Arterial Network
The renal vasculature, acting as a resource distribution network, plays an important role in both the physiology and pathophysiology of the kidney.
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis
Recently, attempts have been made to reduce annotation requirements in feature-based self-explanatory models for lung nodule diagnosis.
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning
Accurate geometry representation is essential in developing finite element models.
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Visualisation of the learned space further indicates that the correlation between the clustering of malignancy and nodule attributes coincides with clinical knowledge.
A direct geometry processing cartilage generation method using segmented bone models from datasets with poor cartilage visibility
We present a method to generate subject-specific cartilage for the hip joint.
gradSim: Differentiable simulation for system identification and visuomotor control
We consider the problem of estimating an object's physical properties such as mass, friction, and elasticity directly from video sequences.
