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Biaxial ultrasound driving technique for small animal blood–brain barrier opening
Biaxial driving can more efficiently convert electrical power to forward acoustic power in piezoelectric mate...
Tumour status prediction by means of carbon-ion beam irradiation: comparison of washout rates between in-beam PET and DCE-MRI in rats
Objective. Tumour response to radiation therapy appears as changes in tumour vascular condition. There are se...
Regularized reconstruction based on joint smoothly clipped absolute deviation regularization and graph manifold learning for fluorescence molecular tomography
Paper ...
Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network
Paper ...
Dual-branch hybrid encoding embedded network for histopathology image classification
1 Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241, Peo...
Haralick texture analysis for microdosimetry: characterization of Monte Carlo generated 3D specific energy distributions
Objective. Explore the application of Haralick textural analysis to 3D distributions of specific energy (ener...
3D PET/CT tumor segmentation based on nnU-Net with GCN refinement
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A novel multi-frame wavelet generative adversarial network for scattering reconstruction of structured illumination microscopy
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Real-time 4D MRI using MR signature matching (MRSIGMA) on a 1.5T MR-Linac system
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Evaluation of MR anatomically-guided PET reconstruction using a convolutional neural network in PSMA patients
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A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation
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Leveraging global binary masks for structure segmentation in medical images
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Color-guided deformable convolution network for intestinal metaplasia severity classification using endoscopic images
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A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols
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Method for comparison of data driven gating algorithms in emission tomography
Objective. Multiple algorithms have been proposed for data driven gating (DDG) in single photon emission comp...
A discrete ordinates Boltzmann solver for application to inverse planning of photons and protons
In the last decade, the value of the discrete ordinates method of solving the linear Boltzmann transport equations (LBTEs)...
Thermal neutron detection and track recognition method in reference and out-of-field radiotherapy FLASH electron fields using Timepix3 detectors
Objective. This work presents a method for enhanced detection, imaging, and measurement of the thermal neutro...
FSE-Net: feature selection and enhancement network for mammogram classification
Objective. Early detection and diagnosis allow for intervention and treatment at an early stage of breast can...
State of the art on microbubble cavitation monitoring and feedback control for blood-brain-barrier opening using focused ultrasound
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Improving pedicle screw path planning by vertebral posture estimation
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Unsupervised learning-based dual-domain method for low-dose CT denoising
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Dosimetry for radiobiological in vivo experiments at laser plasma-based proton accelerators
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Colored reflectors to improve coincidence timing resolution of BGO-based time-of-flight PET detectors
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An improved camera model for oblique-viewing laparoscopes: high reprojection accuracy independent of telescope rotation
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Multi-task contrastive learning for semi-supervised medical image segmentation with multi-scale uncertainty estimation
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Improved sub-milimeter range-verification method for proton therapy using a composite hadron tumour marker (HTM)
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The dose-related plateau effect of surviving fraction in normal tissue during the ultra-high-dose-rate radiotherapy
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MRI magnitude signal-based proton beam visualisation in water phantoms reflects composite effects of beam-induced buoyant convection and radiation chemistry
The full technical integration of magnetic resonance imaging (MRI) with proton therapy (PT) is expected to improve the lat...
In vivo dosimetry in cancer patients undergoing intraoperative radiation therapy
In vivo dosimetry (IVD) is an important tool in external beam radiotherapy (EBRT) to detect major errors by a...
Joint two-stage convolutional neural networks for intracranial aneurysms detection on 3D TOF-MRA
Objective. This study aims to develop a three-dimensional convolutional neural network utilizing computer-aid...
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