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Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

IEEE transactions on knowledge and data engineering, 2020-03, Vol.32 (3), p.588-601

2020

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Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks

European radiology, 2021-04, Vol.31 (4), p.1795-1804

2021

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Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network

European radiology, 2021-08, Vol.31 (8), p.6087-6095

2021

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Correction to: Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks

European radiology, 2021-06, Vol.31 (6), p.4402-4403

2021

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Ossification area localization in pediatric hand radiographs using deep neural networks for object detection

PloS one, 2018-11, Vol.13 (11), p.e0207496-e0207496

2018

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FHIR-PYrate: a data science friendly Python package to query FHIR servers

BMC health services research, 2023-07, Vol.23 (1), p.734-734, Article 734

2023

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Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity

Scientific reports, 2022-09, Vol.12 (1), p.16411-16411, Article 16411

2022

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CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients

Scientific reports, 2022-08, Vol.12 (1), p.13419-13419, Article 13419

2022

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Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein

Scientific reports, 2022-10, Vol.12 (1), p.16479-16479, Article 16479

2022

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Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis

Scientific reports, 2024-04, Vol.14 (1), p.9465-9465, Article 9465

2024

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Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification-A Deep Learning Based Approach Using Fully Automated Body Composition Analysis

Journal of clinical medicine, 2021-01, Vol.10 (2), p.356

2021

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SAROS: A dataset for whole-body region and organ segmentation in CT imaging

Scientific data, 2024-05, Vol.11 (1), p.483-483, Article 483

2024

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AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump

Journal of pathology informatics, 2024-12, Vol.15, p.100345-100345, Article 100345

2024

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ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset

Scientific data, 2024-06, Vol.11 (1), p.688-15, Article 688

2024

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Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks

Medical image analysis, 2020-08, Vol.64, p.101743-101743, Article 101743

2020

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Differentiation Between Anteroposterior and Posteroanterior Chest X-Ray View Position With Convolutional Neural Networks

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2021-02, Vol.193 (2), p.168-176

2021

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BOA: A CT-Based Body and Organ Analysis for Radiologists at the Point of Care

Investigative radiology, 2024-06, Vol.59 (6), p.433

2024

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Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited: Best of the eRisk Lab Submission

Experimental IR Meets Multilinguality, Multimodality, and Interaction, p.191-202

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Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging

Investigative radiology, 2024-03

2024

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Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management

Blood, 2023-12, Vol.142 (26), p.2315-2326

2023

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Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, p.180-189

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Adipopenia in body composition analysis: a promising imaging biomarker and potential predictive factor for patients undergoing transjugular intrahepatic portosystemic shunt placement

British journal of radiology, 2023-06, Vol.96 (1146), p.20220863-20220863

2023

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Artificial intelligence guided enhancement of digital PET: scans as fast as CT?

European journal of nuclear medicine and molecular imaging, 2022-11, Vol.49 (13), p.4503-4515

2022

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Diabetic foot ulcers segmentation challenge report: Benchmark and analysis

Medical image analysis, 2024-05, Vol.94, p.103153-103153, Article 103153

2024

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Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification

Experimental IR Meets Multilinguality, Multimodality, and Interaction, p.57-68

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Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks

Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network

Correction to: Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks

Ossification area localization in pediatric hand radiographs using deep neural networks for object detection

FHIR-PYrate: a data science friendly Python package to query FHIR servers

Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity

CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients

Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein

Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis

Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification-A Deep Learning Based Approach Using Fully Automated Body Composition Analysis

SAROS: A dataset for whole-body region and organ segmentation in CT imaging

AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset

Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks

Differentiation Between Anteroposterior and Posteroanterior Chest X-Ray View Position With Convolutional Neural Networks

BOA: A CT-Based Body and Organ Analysis for Radiologists at the Point of Care

Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited: Best of the eRisk Lab Submission

Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging

Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

Adipopenia in body composition analysis: a promising imaging biomarker and potential predictive factor for patients undergoing transjugular intrahepatic portosystemic shunt placement

Artificial intelligence guided enhancement of digital PET: scans as fast as CT?

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis

Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification

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