End-to-end adversarial retinal image synthesis
In medical image analysis applications, the availability of the large amounts of annotated
data is becoming increasingly critical. However, annotated medical data is often scarce and …
data is becoming increasingly critical. However, annotated medical data is often scarce and …
Towards adversarial retinal image synthesis
Synthesizing images of the eye fundus is a challenging task that has been previously
approached by formulating complex models of the anatomy of the eye. New images can …
approached by formulating complex models of the anatomy of the eye. New images can …
Bi-modality medical image synthesis using semi-supervised sequential generative adversarial networks
In this paper, we propose a bi-modality medical image synthesis approach based on
sequential generative adversarial network (GAN) and semi-supervised learning. Our …
sequential generative adversarial network (GAN) and semi-supervised learning. Our …
A survey on techniques used in medical imaging processing
P Chatterjee, DS Rani - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Automated diagnosis of diseases in the recent years have gain lots of advantages and
potential. Specially automated screening of cancers has helped the clinicians over the time …
potential. Specially automated screening of cancers has helped the clinicians over the time …
A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model
E Hodneland, E Hanson, O Sævareid… - PLoS computational …, 2019 - journals.plos.org
A large variety of severe medical conditions involve alterations in microvascular circulation.
Hence, measurements or simulation of circulation and perfusion has considerable clinical …
Hence, measurements or simulation of circulation and perfusion has considerable clinical …
Modeling a 3-D multiscale blood-flow and heat-transfer framework for realistic vascular systems
Modeling of biological domains and simulation of biophysical processes occurring in them
can help inform medical procedures. However, when considering complex domains such as …
can help inform medical procedures. However, when considering complex domains such as …
In Vivo Detection of Chronic Kidney Disease Using Tissue Deformation Fields From Dynamic MR Imaging
E Hodneland, E Keilegavlen… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Objective: Chronic kidney disease (CKD) is a serious medical condition characterized by
gradual loss of kidney function. Early detection and diagnosis is mandatory for adequate …
gradual loss of kidney function. Early detection and diagnosis is mandatory for adequate …
Non-rigid medical image registration using image field in Demons algorithm
In medical imaging application, non-rigid registration is an important step that requires both
accuracy and efficiency to align the deformed query image with the reference image. For …
accuracy and efficiency to align the deformed query image with the reference image. For …
Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
RJ Lorentzen, G Nævdal, O Sævareid… - PLoS Computational …, 2023 - journals.plos.org
The measurement of perfusion and filtration of blood in biological tissue give rise to
important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we …
important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we …
ROP-GAN: an image synthesis method for retinopathy of prematurity based on generative adversarial network
N Hou, J Shi, X Ding, C Nie, C Wang… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Training data with annotations are scarce in the intelligent diagnosis of
retinopathy of prematurity (ROP), and existing typical data augmentation methods cannot …
retinopathy of prematurity (ROP), and existing typical data augmentation methods cannot …