An image‐based model of brain volume biomarker changes in Huntington's disease
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Clinical and Translational Neurology"
DOI: 10.1002/acn3.558
Abstract: Determining the sequence in which Huntington's disease biomarkers become abnormal can provide important insights into the disease progression and a quantitative tool for patient stratification. Here, we construct and present a uniquely fine‐grained model of… read more here.
Keywords: image based; huntington disease; disease; model brain ... See more keywords
Quantification of olive pomace availability for biogas production by using a GIS‐based model
Sign Up to like & getrecommendations! Published in 2017 at "Biofuels, Bioproducts and Biorefining"
DOI: 10.1002/bbb.1784
Abstract: Recently, to obtain biogas from biomass, an innovative system based on both sustainable intensification of crop rotation and use of by-products was developed. This system derives from BIOGASDONERIGHT concept, which was put forward with the… read more here.
Keywords: production; biogas production; gis based; biogas ... See more keywords
Developing an incentive‐based model for efficient product recovery and reverse logistics
Sign Up to like & getrecommendations! Published in 2024 at "Business Strategy and the Environment"
DOI: 10.1002/bse.3906
Abstract: This study presents an inventive model aligning with sustainable development goals (SDGs) 11, 12, and 9. SDG 11 emphasizes sustainable urban aspects, SDG 12 centers on responsible consumption, and SDG 9 highlights resilient infrastructure. Focused… read more here.
Keywords: based model; developing incentive; reverse logistics; incentive based ... See more keywords
Identification of a pyroptosis‐based model for predicting clinical outcomes from immunotherapy in patients with metastatic melanoma
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.5178
Abstract: Immunotherapy has greatly improved outcomes for patients with advanced melanoma, but good predictive biomarkers remain lacking in clinical practice. Although increasing evidence has revealed a vital role of pyroptosis in the tumor microenvironment (TME), it… read more here.
Keywords: predicting clinical; pyroptosis; pyroptosis based; based model ... See more keywords
Development and application of an agent‐based model for the simulation of the extravasation process of circulating tumor cells
Sign Up to like & getrecommendations! Published in 2023 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3679
Abstract: The primary cause for cancer‐related death is metastasis, and although this phenomenon is the hallmark of cancer, it remains poorly understood. Since studies on the underlying mechanisms are still demanding by experimental means prognostic tools… read more here.
Keywords: circulating tumor; agent based; tumor cells; based model ... See more keywords
An individual‐based model of seed‐ and rhizome‐propagated perennial plant species and sustainable management of Sorghum halepense in soybean production systems in Argentina
Sign Up to like & getrecommendations! Published in 2019 at "Ecology and Evolution"
DOI: 10.1002/ece3.5578
Abstract: Abstract Perennial plants which propagate through both seeds and rhizomes are common in agricultural and nonagricultural systems. Due to their multifaceted life cycle, few population models are available for studying such species. We constructed a… read more here.
Keywords: seed; model; resistance; individual based ... See more keywords
Constraining pseudo‐label in self‐training unsupervised domain adaptation with energy‐based model
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22930
Abstract: Deep learning is usually data starved, and the unsupervised domain adaptation (UDA) is developed to introduce the knowledge in the labeled source domain to the unlabeled target domain. Recently, deep self‐training presents a powerful means… read more here.
Keywords: training; energy; energy based; domain ... See more keywords
Learning low-dose CT degradation from unpaired data with flow-based model.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15886
Abstract: BACKGROUND There has been growing interest in low-dose computed tomography (LDCT) for reducing the X-ray radiation to patients. However, low-dose CT always suffers from complex noise in reconstructed images. Although deep learning-based methods have shown… read more here.
Keywords: flow based; based model; low dose; degradation ... See more keywords
Convolutional neural network-based model observer for signal known statistically task in breast tomosynthesis images.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16395
Abstract: BACKGROUND Since human observer studies are resource-intensive, mathematical model observers are frequently used to assess task-based image quality. The most common implementation of these model observers assume that the signal information is exactly known. However,… read more here.
Keywords: based model; model; cnn based; model observer ... See more keywords
Generalizability of convolutional neural network‐based model observer in breast tomosynthesis across volume glandular fractions and signal sizes
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17725
Abstract: In our previous study, we proposed a convolutional neural network (CNN)‐based model observer for signal known statistically (SKS) and background known statistically (BKS) tasks to assess the detection performance of breast tomosynthesis systems by varying… read more here.
Keywords: convolutional neural; based model; breast tomosynthesis; neural network ... See more keywords
Robust Self‐Triggered Tube‐Based Model Predictive Control for Linear Systems: Integrated Design of Triggering and Control
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.70198
Abstract: This article introduces a novel robust self‐triggered tube‐based model predictive control (TMPC) strategy for discrete‐time uncertain linear systems affected by bounded additive disturbances. Unlike traditional methods that treat control design and triggering as separate tasks,… read more here.
Keywords: self triggered; tube based; control; based model ... See more keywords