A cascaded multi-task generative framework for detecting aortic dissection on 3-D non-contrast-enhanced computed tomography
X Xiong, Y Ding, C Sun, Z Zhang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Contrast-enhanced computed tomography (CE-CT) is the gold standard for diagnosing
aortic dissection (AD). However, contrast agents can cause allergic reactions or renal failure …
aortic dissection (AD). However, contrast agents can cause allergic reactions or renal failure …
Self‐supervised learning for accelerated 3D high‐resolution ultrasound imaging
Purpose Ultrasound (US) imaging has been widely used in diagnosis, image‐guided
intervention, and therapy, where high‐quality three‐dimensional (3D) images are highly …
intervention, and therapy, where high‐quality three‐dimensional (3D) images are highly …
Unsupervised joint image transfer and uncertainty quantification using patch invariant networks
Unsupervised image transfer enables intra-and inter-modality image translation in
applications where a large amount of paired training data is not abundant. To ensure a …
applications where a large amount of paired training data is not abundant. To ensure a …
Synthetic cranial MRI from 3D optical surface scans using deep learning for radiation therapy treatment planning
M Douglass, P Gorayski, S Patel, A Santos - Physical and Engineering …, 2023 - Springer
Background Optical scanning technologies are increasingly being utilised to supplement
treatment workflows in radiation oncology, such as surface-guided radiotherapy or 3D …
treatment workflows in radiation oncology, such as surface-guided radiotherapy or 3D …
Segmentation enhanced lameness detection in dairy cows from RGB and depth video
E Arazo, R Aly, K McGuinness - arXiv preprint arXiv:2206.04449, 2022 - arxiv.org
Cow lameness is a severe condition that affects the life cycle and life quality of dairy cows
and results in considerable economic losses. Early lameness detection helps farmers …
and results in considerable economic losses. Early lameness detection helps farmers …
Investigation of small lung lesion detection for lung cancer screening in low dose FDG PET imaging by deep neural networks
Purpose FDG PET imaging is often recommended for the diagnosis of pulmonary nodules
after indeterminate low dose CT lung cancer screening. Lowering FDG injecting is desirable …
after indeterminate low dose CT lung cancer screening. Lowering FDG injecting is desirable …
Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN
We propose a learning-based method to synthesize contrast-enhanced MR from non-
contrast MR images. Attention network is integrated into a cycle-consistent adversarial …
contrast MR images. Attention network is integrated into a cycle-consistent adversarial …
End-to-end brain tumor detection using a graph-feature-based classifier
Brain tumors are caused by abnormal cell growth and can cause pain and reduced survival
rates. The early detection of brain tumors is pivotal in improving outcomes. Recently …
rates. The early detection of brain tumors is pivotal in improving outcomes. Recently …
Usability of synthesized image using generative adversarial network for prediction model of recurrence after radiotherapy in locally advanced cervical cancer
D Kawahara, H Yoshimura, Y Murakami… - … Signal Processing and …, 2024 - Elsevier
Purpose To developa generative adversarial network-based image synthesis (IS) model
capable of predicting recurrence after radiotherapy in locally advanced cervical cancer …
capable of predicting recurrence after radiotherapy in locally advanced cervical cancer …
[HTML][HTML] Deformation equivariant cross-modality image synthesis with paired non-aligned training data
J Honkamaa, U Khan, S Koivukoski, M Valkonen… - Medical Image …, 2023 - Elsevier
Cross-modality image synthesis is an active research topic with multiple medical clinically
relevant applications. Recently, methods allowing training with paired but misaligned data …
relevant applications. Recently, methods allowing training with paired but misaligned data …