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eess.IV2025

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Katharina Eckstein, Constantin Ulrich, Michael Baumgartner +5

Large-scale pre-training holds the promise to advance 3D medical object detection, a crucial component of accurate computer-aided diagnosis. Yet, it remains underexplored compared…

eess.IV2025

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge

Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman +60

Multi-class segmentation of the aorta in computed tomography angiography (CTA) scans is essential for diagnosing and planning complex endovascular treatments for patients with aort…

eess.IV2024

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression

Maximilian Fischer, Peter Neher, Peter Schüffler +13

Digital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes…

eess.IV2024

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

Saikat Roy, Gregor Koehler, Constantin Ulrich +5

There has been exploding interest in embracing Transformer-based architectures for medical image segmentation. However, the lack of large-scale annotated medical datasets make achi…

eess.IV2024

Mitigating False Predictions In Unreasonable Body Regions

Constantin Ulrich, Catherine Knobloch, Julius C. Holzschuh +7

Despite considerable strides in developing deep learning models for 3D medical image segmentation, the challenge of effectively generalizing across diverse image distributions pers…