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Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.3246-3256

2021

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A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Vol.2019-June, p.9524-9534

2019

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Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Vol.2019-October (October), p.31-41

2019

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Robust abdominal organ segmentation using regional convolutional neural networks

Applied soft computing, 2018-09, Vol.70, p.465-471

2018

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Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies

Scientific reports, 2021-12, Vol.11 (1), p.23905-23905, Article 23905

2021

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Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography

Scientific reports, 2023-01, Vol.13 (1), p.1623-1623, Article 1623

2023

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Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models

Scientific data, 2024-02, Vol.11 (1), p.259-259, Article 259

2024

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Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images

Clinical physiology and functional imaging, 2024-07, Vol.44 (4), p.332-339

2024

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“Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison

Journal of nuclear cardiology, 2022-10, Vol.29 (5), p.2531-2539

2022

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NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations

The international journal of cardiovascular imaging, 2024-07, Vol.40 (7), p.1493-1500

2024

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Manual prostate MRI segmentation by readers with different experience: a study of the learning progress

European radiology, 2024, Vol.34 (7), p.4801-4809

2024

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Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index

European journal of nuclear medicine and molecular imaging, 2023, Vol.50 (5), p.1510-1520

2023

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Alluvial aquifer thickness and bedrock structure delineation by electromagnetic methods in the highlands of Bolivia

Environmental earth sciences, 2019-02, Vol.78 (3), p.1-13, Article 84

2019

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Artificial intelligence‐based detection of lymph node metastases by PET/CT predicts prostate cancer‐specific survival

Clinical physiology and functional imaging, 2021-01, Vol.41 (1), p.62-67

2021

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Common carotid segmentation in 18F‐sodium fluoride PET/CT scans: Head‐to‐head comparison of artificial intelligence‐based and manual method

Clinical physiology and functional imaging, 2023-03, Vol.43 (2), p.71-77

2023

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PET/CT imaging of spinal inflammation and microcalcification in patients with low back pain: A pilot study on the quantification by artificial intelligence‐based segmentation

Clinical physiology and functional imaging, 2022-07, Vol.42 (4), p.225-232

2022

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Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation

Journal of nuclear cardiology, 2022-08, Vol.29 (4), p.2001-2010

2022

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Pneumococcal carriage among children aged 4 – 12 years in Angola 4 years after the introduction of a pneumococcal conjugate vaccine

Vaccine, 2020-11, Vol.38 (50), p.7928-7937

2020

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Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference

SIAM journal on imaging sciences, 2018-01, Vol.11 (4), p.2610-2628

2018

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Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks

20th Scandinavian Conference on Image Analysis, SCIA 2017,Tromso, Norway,2017-06-12 - 2017-06-14, 2017, Vol.10270 LNCS, p.41-52

2017

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Aortic wall segmentation in F-18-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation

Journal of nuclear cardiology, 2022-08, Vol.29 (4), p.2001

2022

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Max-Margin Learning of Deep Structured Models for Semantic Segmentation

20th Scandinavian Conference on Image Analysis, SCIA 2017,Tromso, Norway,2017-06-12 - 2017-06-14, 2017, Vol.10270 LNCS, p.28-40

2017

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Convolutional neural network-based left ventricle segmentations in 123I-MIBG SPECT-CT images

55th Annual Conference of the Society-of-Nuclear-Medicine (SNMICON), Jodhpur, India, 2023, Vol.64

2023

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Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy

European journal of radiology, 2024-09, Vol.178, p.111624, Article 111624

2024

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Global cardiac atherosclerotic burden assessed by fast automated artificial intelligence-based heart segmentation in F-18-sodium fluoride PET/CT scans: head-to-head comparison with manual segmentation

Journal of Nuclear Medicine, 2021, Vol.62

2021

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Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

Robust abdominal organ segmentation using regional convolutional neural networks

Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies

Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography

Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models

Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images

“Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison

NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations

Manual prostate MRI segmentation by readers with different experience: a study of the learning progress

Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index

Alluvial aquifer thickness and bedrock structure delineation by electromagnetic methods in the highlands of Bolivia

Artificial intelligence‐based detection of lymph node metastases by PET/CT predicts prostate cancer‐specific survival

Common carotid segmentation in 18F‐sodium fluoride PET/CT scans: Head‐to‐head comparison of artificial intelligence‐based and manual method

PET/CT imaging of spinal inflammation and microcalcification in patients with low back pain: A pilot study on the quantification by artificial intelligence‐based segmentation

Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation

Pneumococcal carriage among children aged 4 – 12 years in Angola 4 years after the introduction of a pneumococcal conjugate vaccine

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference

Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks

Aortic wall segmentation in F-18-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation

Max-Margin Learning of Deep Structured Models for Semantic Segmentation

Convolutional neural network-based left ventricle segmentations in 123I-MIBG SPECT-CT images

Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy

Global cardiac atherosclerotic burden assessed by fast automated artificial intelligence-based heart segmentation in F-18-sodium fluoride PET/CT scans: head-to-head comparison with manual segmentation

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