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06/11/2023
Moving beyond simulation: data-driven quantitative photoacoustic imaging using tissue-mimicking phantoms
Accurate measurement of optical absorption coefficients from photoacoust...
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03/17/2023
Unsupervised Domain Transfer with Conditional Invertible Neural Networks
Synthetic medical image generation has evolved as a key technique for ne...
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05/20/2021
Semantic segmentation of multispectral photoacoustic images using deep learning
Photoacoustic imaging has the potential to revolutionise healthcare due ...
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03/29/2021
Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis
Photoacoustic tomography (PAT) has the potential to recover morphologica...
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11/10/2020
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging
Multispectral photoacoustic imaging (PAI) is an emerging imaging modalit...
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11/10/2020
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern
Purpose: Photoacoustic tomography (PAT) is a novel imaging technique tha...
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11/05/2020
Deep learning for biomedical photoacoustic imaging: A review
Photoacoustic imaging (PAI) is a promising emerging imaging modality tha...
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05/07/2020
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room
Image-based tracking of medical instruments is an integral part of many ...
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03/08/2019
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
Purpose: Optical imaging is evolving as a key technique for advanced sen...
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02/15/2019
Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)
One of the main applications of photoacoustic (PA) imaging is the recove...
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01/28/2019