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Towards Minimizing the LiDAR Sim-to-Real Domain Shift: Object-Level Local Domain Adaptation for 3D Point Clouds of Autonomous Vehicles
Published 2023-12-01“…We propose a novel domain adaptation approach to address this challenge and to minimize the domain shift between simulated and real-world LiDAR data. Our approach adapts 3D point clouds on the object level by learning the local characteristics of the target domain. …”
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Spatial relationship between bone formation and mechanical stimulus within cortical bone: Combining 3D fluorochrome mapping and poroelastic finite element modelling
Published 2018-06-01“…Understanding how the mechanical stimuli spatially relates with regions of cortical bone formation in response to loading will eventually guide loading regime therapies to maintain or restore bone mass in specific sites in skeletal pathologies. Keywords: Bone adaptation, 3D fluorochrome mapping, Cortical bone, Mouse, Tibia…”
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Stepwise in vitro screening of MMV pathogen box compounds against Plasmodium falciparum to identify potent antimalarial candidates
Published 2023-08-01“…MMV634140 was potent against the laboratory-adapted 3D7 isolate, but 4 out of 10 natural Gambian isolates survived and replicated slowly despite 72 h of exposure to the compound, suggesting potential drug tolerance and risk of resistance development.These results emphasise the usefulness of in vitro testing as a starting point for drug discovery. …”
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A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data
Published 2024-09-01“…This research presents a pioneering domain adaptation 3D semantic segmentation framework to implement cross-modal learning for SAR point clouds. …”
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Research on Global Off-Road Path Planning Based on Improved A* Algorithm
Published 2024-10-01“…Therefore, this study introduces an improved A* algorithm and an adapted 3D model of real field scenes is constructed. …”
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Effects of dietary inclusion of 3 Nordic brown macroalgae on enteric methane emission and productivity of dairy cows
Published 2023-10-01“…Each period consisted of 14 d of adaptation, 3 d of digesta and blood sampling, and 4 d of gas exchange measurements using respiration chambers. …”
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Production of 3D-Printed Ribs with a Novel Material (Nylon 680 Co-Polymer) for Chest Wall Reconstruction on a Pig Model: Preliminary Results of an Experimental Study
Published 2023-09-01“…Histopathologic evaluation revealed moderate chronic inflammation with a few giant cells containing pigmented foreign bodies.Conclusion:Although we need more studies, it is an important step for adapting 3D-printing into thoracic surgery. Additionally, it is important to identify a potential new material (Nylon 680 Co-polymer) for the future studies. …”
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Dynamic of heat production partitioning in rooster by indirect calorimetry
Published 2023-01-01“…Methods Eighteen 54-wk-old Hy Line Brown roosters (2.916±0.15 kg) were allocated in an open-circuit chamber of respirometry for O2 consumption (VO2), CO2 production (VCO2), and physical activity (PA) measurements, under environmental comfort conditions, following the protocol: adaptation (3 d), ad libitum feeding (1 d), and fasting conditions (1 d). …”
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Comparative digestibility of nutrients and amino acids in high-fiber diets fed to crossbred barrows of Duroc boars crossed with Berkshire×Jiaxing and Landrace×Yorkshire
Published 2018-05-01“…The experiment lasted 15 d with 10 d for diets adaptation, 3 d for feces collection and 2 d for digesta collection. …”
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3D-Suspension culture platform for high throughput screening of neurotoxic chemicals using LUHMES dopaminergic neurons
Published 2024-04-01“…These gene expression increases were generally more dynamic in 2D adhesion cultures than in 3D cultures, but were generally comparable between 3D-suspension and 3D-u plate (low binding) platforms. Finally, we adapted 3D-suspension culture of dLUHMES and neural stem cells to 1536 well plates with a HTS cytotoxicity assay. …”
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Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study
Published 2023-06-01“…Methods We used two samples: (i) Publicly available multi-center and multi-vendor Prostate Imaging: Cancer AI (PI-CAI) training data, consisting of 1500 bi-parametric MRI scans, along with its unseen validation and testing samples; (ii) In-house multi-center testing and transfer learning data, comprising 1036 and 200 bi-parametric MRI scans. We trained a self-adapting 3D nnU-Net model using probabilistic prostate masks on the PI-CAI data and evaluated its performance on the hidden validation and testing samples and the in-house data with and without transfer learning. …”
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Generative modeling of the Circle of Willis using 3D-StyleGAN
Published 2024-12-01“…For generative modeling, we used 1782 individual TOF MRA scans from 6 open source datasets. To train the adapted 3D StyleGAN model with limited data we employed differentiable data augmentations, used mixed precision and a cropped region of interest of size 32 × 128 × 128 to tackle computational constraints. …”
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Sodium quantification in skeletal muscle: comparison between Cartesian gradient-echo and radial ultra-short echo time 23Na MRI techniques
Published 2024-05-01“…For 23Na MRI acquisitions, we used a two-dimensional Cartesian GRE sequence and a density-adapted 3D radial readout sequence with cuboid field-of-view (DA-3D-RAD-C). …”
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Advancing Industrial Object Detection Through Domain Adaptation: A Solution for Industry 5.0
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