State of the art and future opportunities in MRI-guided robot-assisted surgery and interventions
Magnetic resonance imaging (MRI) can provide high-quality 3-D visualization of target
anatomy, surrounding tissue, and instrumentation, but there are significant challenges in …
anatomy, surrounding tissue, and instrumentation, but there are significant challenges in …
Speckle noise reduction in optical coherence tomography images based on edge-sensitive cGAN
Speckle noise in optical coherence tomography (OCT) impairs both the visual quality and
the performance of automatic analysis. Edge preservation is an important issue for speckle …
the performance of automatic analysis. Edge preservation is an important issue for speckle …
Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network
Optical coherence tomography (OCT) has become a very promising diagnostic method in
clinical practice, especially for ophthalmic diseases. However, speckle noise and low …
clinical practice, especially for ophthalmic diseases. However, speckle noise and low …
Semi-supervised capsule cGAN for speckle noise reduction in retinal OCT images
Speckle noise is the main cause of poor optical coherence tomography (OCT) image quality.
Convolutional neural networks (CNNs) have shown remarkable performances for speckle …
Convolutional neural networks (CNNs) have shown remarkable performances for speckle …
Noise-powered disentangled representation for unsupervised speckle reduction of optical coherence tomography images
Due to its noninvasive character, optical coherence tomography (OCT) has become a
popular diagnostic method in clinical settings. However, the low-coherence interferometric …
popular diagnostic method in clinical settings. However, the low-coherence interferometric …
SiameseGAN: a generative model for denoising of spectral domain optical coherence tomography images
NA Kande, R Dakhane, A Dukkipati… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is a standard diagnostic imaging method for
assessment of ophthalmic diseases. The speckle noise present in the high-speed OCT …
assessment of ophthalmic diseases. The speckle noise present in the high-speed OCT …
Speckle noise reduction for OCT images based on image style transfer and conditional GAN
Raw optical coherence tomography (OCT) images typically are of low quality because
speckle noise blurs retinal structures, severely compromising visual quality and degrading …
speckle noise blurs retinal structures, severely compromising visual quality and degrading …
Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe
Optical coherence tomography (OCT), an interferometric imaging technique, provides non-
invasive, high-speed, high-sensitive volumetric biological imaging in vivo. However …
invasive, high-speed, high-sensitive volumetric biological imaging in vivo. However …
Accurate wavelet thresholding method for ECG signals
K Yu, L Feng, Y Chen, M Wu, Y Zhang, P Zhu… - Computers in Biology …, 2024 - Elsevier
Current wavelet thresholding methods for cardiogram signals captured by flexible wearable
sensors face a challenge in achieving both accurate thresholding and real-time signal …
sensors face a challenge in achieving both accurate thresholding and real-time signal …
An explainable fully dense fusion neural network with deep support vector machine for retinal disease determination
İ Kayadibi, GE Güraksın - International Journal of Computational …, 2023 - Springer
Retinal issues are crucial because they result in visual loss. Early diagnosis can aid
physicians in initiating treatment and preventing visual loss. Optical coherence tomography …
physicians in initiating treatment and preventing visual loss. Optical coherence tomography …