Towards artificial intelligence to multi-omics characterization of tumor heterogeneity in esophageal cancer
J Li, L Li, P You, Y Wei, B Xu - Seminars in Cancer Biology, 2023 - Elsevier
Esophageal cancer is a unique and complex heterogeneous malignancy, with substantial
tumor heterogeneity: at the cellular levels, tumors are composed of tumor and stromal …
tumor heterogeneity: at the cellular levels, tumors are composed of tumor and stromal …
Physics-/model-based and data-driven methods for low-dose computed tomography: A survey
Since 2016, deep learning (DL) has advanced tomographic imaging with remarkable
successes, especially in low-dose computed tomography (LDCT) imaging. Despite being …
successes, especially in low-dose computed tomography (LDCT) imaging. Despite being …
Sparse-view cone beam ct reconstruction using data-consistent supervised and adversarial learning from scarce training data
Reconstruction of CT images from a limited set of projections through an object is important
in several applications ranging from medical imaging to industrial settings. As the number of …
in several applications ranging from medical imaging to industrial settings. As the number of …
Model-based reconstruction with learning: From unsupervised to supervised and beyond
Imaging modalities such as magnetic resonance imaging (MRI), X-ray computed
tomography (CT), positron-emission tomography (PET), and single-photon-emission …
tomography (CT), positron-emission tomography (PET), and single-photon-emission …
An optimized EBRSA-Bi LSTM model for highly undersampled rapid CT image reconstruction
AVP Sarvari, K Sridevi - Biomedical Signal Processing and Control, 2023 - Elsevier
COVID-19 has spread all over the world, causing serious panic around the globe. Chest
computed tomography (CT) images are integral in confirming COVID positive patients …
computed tomography (CT) images are integral in confirming COVID positive patients …
Análise de perfis de engajamento de estudantes de ensino a distância
PHR Macêdo, WB Santos, AMA Maciel - Revista Novas Tecnologias …, 2020 - seer.ufrgs.br
Resumo uso de ambientes virtuais de aprendizagem permite mais interação no ensino a
distância, mas ao mesmo tempo faz com que os professores tenham dificuldade em …
distância, mas ao mesmo tempo faz com que os professores tenham dificuldade em …
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography
Y Lu, Z Xu, MH Choi, J Kim… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Computed tomography (CT) has been used worldwide as a non-invasive test to assist in
diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential …
diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential …
Multi-frame-based Cross-domain Image Denoising for Low-dose Computed Tomography
Y Lu, Z Xu, MH Choi, J Kim, SW Jung - arXiv preprint arXiv:2304.10839, 2023 - arxiv.org
Computed tomography (CT) has been used worldwide for decades as one of the most
important non-invasive tests in assisting diagnosis. However, the ionizing nature of X-ray …
important non-invasive tests in assisting diagnosis. However, the ionizing nature of X-ray …
[PDF][PDF] Synergizing physics/model-based and data-driven methods for low-dose CT
Abstract Since 2016, deep learning (DL) has advanced tomographic imaging with
remarkable successes, especially in low-dose computed tomography (LDCT) imaging …
remarkable successes, especially in low-dose computed tomography (LDCT) imaging …
Low-dose CT reconstruction using dataset-free learning
F Wang, R Wang, H Qiu - PloS one, 2024 - journals.plos.org
Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in
clinical applications. Although supervised-deep-learning-based reconstruction methods …
clinical applications. Although supervised-deep-learning-based reconstruction methods …