Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning
This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…
University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning
This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…
2,237 Patients, 11 Hospitals, four HCC Criteria: A Comparison Study
A recent study, conducted across 11 South Korean hospitals, compared the diagnostic performance of four hepatocellular carcinoma (HCC) diagnostic…
Multicentric Study: Comparison of Diagnostic Guidelines for Hepatocellular Carcinoma
Recent advancements in MRI techniques and tumor biology have led to updated hepatocellular carcinoma (HCC) diagnostic guidelines from various liver…
On-Site BZKF BORN Roll-Out Trainings Keep on Going
Our expert Steffen Rupp recently visited the Technical University of Munich to continue the on-site BZKF BORN Roll-Out Trainings.
As mentioned…
Unveiling the Predictive Power of Pericardial Effusion in COVID-19 Outcomes
The COVID-19 pandemic wreaked havoc on healthcare systems worldwide, requiring a comprehensive understanding of disease progression for optimal…
BZKF BORN Roll-Out Trainings in Full Swing
A first impression of the on-site BZKF BORN Roll-Out Trainings at LMU Klinikum München with our expert Steffen Rupp. The project is in full swing: the…
RACOON: Study emphasizes the clinical relevance of pericardial effusion as an imaging biomarker in COVID-19 patients
A multicenter study [1] based on the German research infrastructure project RACOON (Radiological Cooperative Network of the COVID-19 pandemic; a Netzw…
Software-Assisted CT Assessment Outperforms Manual Methods in Oncology Study
A recent study conducted at UKE Hamburg compared manual and software-assisted assessments of computed tomography (CT) scans according to iRECIST…
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