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Lisa C Adams

Showing results (51-60 of 108) with videos related to

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Journal of Imaging Informatics in Medicine|July 7, 2025
Leveraging Large Language Models for Accurate AO Fracture Classification from CT Text ReportsMarkus Mergen, Daniel Spitzl, Conrad Ketzer, et al.
Journal of Clinical Medicine|May 28, 2020
Multiparametric Assessment of Changes in Renal Tissue after Kidney Transplantation with Quantitative MR Relaxometry and Diffusion-Tensor Imaging at 3 TLisa C Adams, Keno K Bressem, Sonja Scheibl, et al.
European Radiology|October 17, 2018
Evaluation of osseous cervical foraminal stenosis in spinal radiculopathy using susceptibility-weighted magnetic resonance imagingGuenther Engel, Yvonne Y Bender, Lisa C Adams, et al.
Journal of Imaging Informatics in Medicine|February 12, 2026
Development and Evaluation of a Retrieval-Augmented Generation System for Radiology GuidelinesAlexander Komenda, Marcus Makowski, Elif Can, et al.
Journal of the American Medical Informatics Association : JAMIA|April 7, 2025
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasksFelix J Dorfner, Amin Dada, Felix Busch, et al.
Scientific Reports|February 26, 2020
Noninvasive imaging of vascular permeability to predict the risk of rupture in abdominal aortic aneurysms using an albumin-binding probeLisa C Adams, Julia Brangsch, Carolin Reimann, et al.
Contrast Media & Molecular Imaging|November 15, 2018
Contrast-Enhanced Magnetic Resonance Angiography Using a Novel Elastin-Specific Molecular Probe in an Experimental Animal ModelCarolin Reimann, Julia Brangsch, Jan Ole Kaufmann, et al.
Metabolism: Clinical and Experimental|July 17, 2020
The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in GermanyAntonia Petersen, Keno Bressem, Jakob Albrecht, et al.
Bioinformatics (Oxford, England)|July 24, 2020
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reportsKeno K Bressem, Lisa C Adams, Robert A Gaudin, et al.
European Radiology|June 19, 2026
GPT-4.1 and Llama 3.3 70 fail to detect clinically relevant errors in radiology reports in zero-shot evaluationTugba Akinci D'Antonoli, Lisa C Adams, Jannik Lübberstedt, et al.
Pageof 11

Showing results (51-60 of 108) with videos related to

Sort By:
Pageof 11
Journal of Imaging Informatics in Medicine|July 7, 2025
Leveraging Large Language Models for Accurate AO Fracture Classification from CT Text ReportsMarkus Mergen, Daniel Spitzl, Conrad Ketzer, et al.
Journal of Clinical Medicine|May 28, 2020
Multiparametric Assessment of Changes in Renal Tissue after Kidney Transplantation with Quantitative MR Relaxometry and Diffusion-Tensor Imaging at 3 TLisa C Adams, Keno K Bressem, Sonja Scheibl, et al.
European Radiology|October 17, 2018
Evaluation of osseous cervical foraminal stenosis in spinal radiculopathy using susceptibility-weighted magnetic resonance imagingGuenther Engel, Yvonne Y Bender, Lisa C Adams, et al.
Journal of Imaging Informatics in Medicine|February 12, 2026
Development and Evaluation of a Retrieval-Augmented Generation System for Radiology GuidelinesAlexander Komenda, Marcus Makowski, Elif Can, et al.
Journal of the American Medical Informatics Association : JAMIA|April 7, 2025
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasksFelix J Dorfner, Amin Dada, Felix Busch, et al.
Scientific Reports|February 26, 2020
Noninvasive imaging of vascular permeability to predict the risk of rupture in abdominal aortic aneurysms using an albumin-binding probeLisa C Adams, Julia Brangsch, Carolin Reimann, et al.
Contrast Media & Molecular Imaging|November 15, 2018
Contrast-Enhanced Magnetic Resonance Angiography Using a Novel Elastin-Specific Molecular Probe in an Experimental Animal ModelCarolin Reimann, Julia Brangsch, Jan Ole Kaufmann, et al.
Metabolism: Clinical and Experimental|July 17, 2020
The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in GermanyAntonia Petersen, Keno Bressem, Jakob Albrecht, et al.
Bioinformatics (Oxford, England)|July 24, 2020
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reportsKeno K Bressem, Lisa C Adams, Robert A Gaudin, et al.
European Radiology|June 19, 2026
GPT-4.1 and Llama 3.3 70 fail to detect clinically relevant errors in radiology reports in zero-shot evaluationTugba Akinci D'Antonoli, Lisa C Adams, Jannik Lübberstedt, et al.
Pageof 11