Results 81 to 90 of about 1,134,173 (194)
Virtual reality with multichannel audio playback is increasingly used in hearing aid research. The purpose of this study is to compare horizontal (2D) and periphonic (3D) rendering methods in terms of localization, minimum audible angle, and perceptual ...
Gerken Merle, Hohmann Volker, Grimm Giso
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3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images
Spectral-Domain Optical Coherence Tomography (SD-OCT) is a widely used interferometric diagnostic technique in ophthalmology that provides novel in vivo information of depth-resolved inner and outer retinal structures.
M. Esmaeili, A. M. Dehnavi, H. Rabbani
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Purpose Q.Clear is a block sequential regularized expectation maximization (BSREM) penalized-likelihood reconstruction algorithm for PET. It tries to improve image quality by controlling noise amplification during image reconstruction. In this study, the
Paulo R. R. V. Caribé +4 more
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Intraoperative cerebral perfusion monitoring with ultrafast power doppler imaging
Brain perfusion monitoring during cerebrovascular surgery is highly desirable; however, this technology is not yet available to surgeons. Our center has developed and implemented a dedicated ultrafast power Doppler imaging (UPDI) sequence along with a ...
Hamid Reza Niknejad +4 more
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Medical Signal Processing and Biomedical Imaging [PDF]
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Medical signal processing using the software monitor
The study of medical signal processing to monitor the patient with the help of software monitor was discussed. The main advantage of the study is that it offers, in one intelligent monitor, the fusion of multiple sources of information. The application of the Software Monitor were related to high dependency care which give satisfactory care to those ...
Tarassenko, L +5 more
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Background The adoption of silicon photomultiplier (SiPM) detectors over conventional photomultiplier tubes (PMTs) in Positron Emission Tomography (PET) has enhanced overall system performance.
Nicholas Leybourne +6 more
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Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation
This article introduces a novel deep-learning based framework, Super-resolution/Denoising network (SDNet), for simultaneous denoising and super-resolution of swept-source optical coherence tomography (SS-OCT) images.
Sajed Rakhshani +6 more
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Explainable Artificial Intelligence Techniques in Medical Signal Processing
Ksenia Shkileva, Nikolai Zolotykh
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Advancements in Machine Learning-Assisted Flexible Electronics: Technologies, Applications, and Future Prospects. [PDF]
Su H +6 more
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