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Constantin Seibold

Showing results (1-10 of 11) with videos related to

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European Radiology|June 7, 2025
De-identification of medical imaging data: a comprehensive tool for ensuring patient privacyMoritz Rempe, Lukas Heine, Constantin Seibold, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary EmbolismMatthias A Fink, Constantin Seibold, Hans-Ulrich Kauczor, et al.
Radiology|September 28, 2021
CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary EmbolismMatthias A Fink, Victoria L Mayer, Thomas Schneider, et al.
Translational Vision Science & Technology|July 16, 2025
Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence ModelsLukas Heine, Anna Vahldiek, Benja Vahldiek, et al.
Computer Methods and Programs in Biomedicine|February 6, 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesFrederic Jonske, Moon Kim, Enrico Nasca, et al.
Medical Image Analysis|March 20, 2024
CellViT: Vision Transformers for precise cell segmentation and classificationFabian Hörst, Moritz Rempe, Lukas Heine, et al.
JMIR AI|July 3, 2025
Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation StudyAlexander Brehmer, Constantin Seibold, Jan Egger, et al.
Seminars in Nuclear Medicine|April 10, 2023
Is There a Role of Artificial Intelligence in Preclinical Imaging?Alina Küper, Paul Blanc-Durand, Andrei Gafita, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 19, 2023
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathologyOliver Ester, Fabian Hörst, Constantin Seibold, et al.
NPJ Digital Medicine|April 13, 2021
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging dataGabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
European Radiology|June 7, 2025
De-identification of medical imaging data: a comprehensive tool for ensuring patient privacyMoritz Rempe, Lukas Heine, Constantin Seibold, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary EmbolismMatthias A Fink, Constantin Seibold, Hans-Ulrich Kauczor, et al.
Radiology|September 28, 2021
CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary EmbolismMatthias A Fink, Victoria L Mayer, Thomas Schneider, et al.
Translational Vision Science & Technology|July 16, 2025
Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence ModelsLukas Heine, Anna Vahldiek, Benja Vahldiek, et al.
Computer Methods and Programs in Biomedicine|February 6, 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesFrederic Jonske, Moon Kim, Enrico Nasca, et al.
Medical Image Analysis|March 20, 2024
CellViT: Vision Transformers for precise cell segmentation and classificationFabian Hörst, Moritz Rempe, Lukas Heine, et al.
JMIR AI|July 3, 2025
Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation StudyAlexander Brehmer, Constantin Seibold, Jan Egger, et al.
Seminars in Nuclear Medicine|April 10, 2023
Is There a Role of Artificial Intelligence in Preclinical Imaging?Alina Küper, Paul Blanc-Durand, Andrei Gafita, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 19, 2023
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathologyOliver Ester, Fabian Hörst, Constantin Seibold, et al.
NPJ Digital Medicine|April 13, 2021
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging dataGabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, et al.
Pageof 2