5 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.IV2024★ 5 cited
Pre-examinations Improve Automated Metastases Detection on Cranial MRI
Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech +5
Materials and methods: First, a dual-time approach was assessed, for which the CNN was provided sequences of the MRI that initially depicted new MM (diagnosis MRI) as well as of a…
eess.IV2023
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Balint Kovacs, Nils Netzer, Michael Baumgartner +17
Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided diagnosis…