Výsledky vyhledávání - "Bayer, Siming"

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EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction

Autor: Sun, Yipeng, Huang, Yixing, Schneider, Linda-Sophie, Thies, Mareike, Gu, Mingxuan, Mei, Siyuan, Bayer, Siming, Maier, Andreas

Computed Tomography (CT) image reconstruction is crucial for accurate diagnosis and deep learning approaches have demonstrated significant potential in improving reconstruction quality. However, the choice of loss function profoundly affects the reco

Externí odkaz: http://arxiv.org/abs/2403.10695

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Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series

Autor: Sun, Yipeng, Schneider, Linda-Sophie, Fan, Fuxin, Thies, Mareike, Gu, Mingxuan, Mei, Siyuan, Zhou, Yuzhong, Bayer, Siming, Maier, Andreas

In this study, we introduce a Fourier series-based trainable filter for computed tomography (CT) reconstruction within the filtered backprojection (FBP) framework. This method overcomes the limitation in noise reduction by optimizing Fourier series c

Externí odkaz: http://arxiv.org/abs/2401.16039

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Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification

Autor: Panambur, Adarsh Bhandary, Yu, Hui, Bhat, Sheethal, Madhu, Prathmesh, Bayer, Siming, Maier, Andreas

The assessment of breast density is crucial in the context of breast cancer screening, especially in populations with a higher percentage of dense breast tissues. This study introduces a novel data augmentation technique termed Attention-Guided Erasi

Externí odkaz: http://arxiv.org/abs/2401.03912

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Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble

Autor: Ramachandran, Adithya, Chatterjee, Satyaki, Bayer, Siming, Maier, Andreas, Flensmark, Thorkil

One of the primal challenges faced by utility companies is ensuring efficient supply with minimal greenhouse gas emissions. The advent of smart meters and smart grids provide an unprecedented advantage in realizing an optimised supply of thermal ener

Externí odkaz: http://arxiv.org/abs/2210.13108

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Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model

Autor: Chatterjee, Satyaki, Bayer, Siming, Maier, Andreas

In combating climate change, an effective demand-based energy supply operation of the district energy system (DES) for heating or cooling is indispensable. As a consequence, an accurate forecast of heat consumption on the consumer side poses an impor

Externí odkaz: http://arxiv.org/abs/2112.01908

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An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process

Autor: Bayer, Siming, Spiske, Ute, Luo, Jie, Geimer, Tobias, Wells III, William M., Ostermeier, Martin, Fahrig, Rebecca, Nabavi, Arya, Bert, Christoph, Eyupoglo, Ilker, Maier, Andreas

For a wide range of clinical applications, such as adaptive treatment planning or intraoperative image update, feature-based deformable registration (FDR) approaches are widely employed because of their simplicity and low computational complexity. FD

Externí odkaz: http://arxiv.org/abs/2001.05862

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Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach

Autor: Bayer, Siming, Zhong, Xia, Fu, Weilin, Ravikumar, Nishant, Maier, Andreas

Comparison of microvascular circulation on fundoscopic images is a non-invasive clinical indication for the diagnosis and monitoring of diseases, such as diabetes and hypertensions. The differences between intra-patient images can be assessed quantit

Externí odkaz: http://arxiv.org/abs/1912.10837

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