Results 101 to 110 of about 37,523 (330)
FlowReg: Fast Deformable Unsupervised Medical Image Registration using\n Optical Flow [PDF]
Sergiu Mocanu +2 more
openalex +1 more source
Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells
Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli +17 more
wiley +1 more source
Metric Learning for Image Registration
Image registration is a key technique in medical image analysis to estimate deformations between image pairs. A good deformation model is important for high-quality estimates.
Kwitt, Roland +2 more
core +2 more sources
This work introduces photo‐crosslinkable tyraminated poly(vinyl alcohol)‐gelatin (PVA‐GT) hydrogels as tunable injectable platforms for tissue engineering and growth factor delivery applications. This schematic illustrates the two developed hydrogel formulations and the experimental workflow used to evaluate their physico‐chemical properties in vitro ...
Alessia Longoni +15 more
wiley +1 more source
Delineation of the cardiac right ventricle is essential in generating clinical measurements such as ejection fraction and stroke volume. Given manual segmentation on the first frame, one approach to segment right ventricle from all of the magnetic ...
Kumaradevan Punithakumar +2 more
doaj +1 more source
Enhanced Endoscopic Internal Drainage of Gastric Abscess Through Additively Manufactured Stents
Postoperative gastric leaks are often treated with off‐label biliary double‐pigtail stents, yet conventional extruded designs are not optimized for leak anatomy, can migrate, and may limit abscess evacuation. PETALS is introduced to optimize transmural drainage geometry and enable patient‐specific 3D‐printable stents.
Parima Phowarasoontorn +14 more
wiley +1 more source
A Lightweight Residual Network for Unsupervised Deformable Image Registration
Unsupervised deformable volumetric image registration is crucial for various applications, such as medical imaging and diagnosis. Recently, learning-based methods have achieved remarkable success in this domain.
Ahsan Raza Siyal +2 more
doaj +1 more source
Head Tracking via Robust Registration in Texture Map Images [PDF]
A novel method for 3D head tracking in the presence of large head rotations and facial expression changes is described. Tracking is formulated in terms of color image registration in the texture map of a 3D surface model.
Isidoro, John +2 more
core
Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu +4 more
wiley +1 more source
A metric for evaluation of deformable image registration
We propose a new metric, local uncertainty (LU) for the evaluation of deformable image registration (DIR) for dose accumulation in radiotherapy. LU measures the uncertainty of placement of each voxel in an image set after a DIR. The underlying concept of LU is that the distance between a focused voxel and a surrounding voxel on an image feature such as
Akihiro Takemura +5 more
openaire +1 more source

