Benjamin Hamm
YOU?
Author Swipe
View article: Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments
Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments Open
Developing generalizable AI for medical imaging requires both access to large, multi-center datasets and standardized, reproducible tooling within research environments. However, leveraging real-world imaging data in clinical research envi…
View article: VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation
VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation Open
We introduce VoxTell, a vision-language model for text-prompted volumetric medical image segmentation. It maps free-form descriptions, from single words to full clinical sentences, to 3D masks. Trained on 62K+ CT, MRI, and PET volumes span…
View article: MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI
MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI Open
The ODELIA Breast MRI Challenge 2025 addresses a critical issue in breast cancer screening: improving early detection through more efficient and accurate interpretation of breast MRI scans. Even though methods for general-purpose whole-bod…
View article: Inclusive, Differentially Private Federated Learning for Clinical Data
Inclusive, Differentially Private Federated Learning for Clinical Data Open
Federated Learning (FL) offers a promising approach for training clinical AI models without centralizing sensitive patient data. However, its real-world adoption is hindered by challenges related to privacy, resource constraints, and compl…
View article: Efficient Privacy-Preserving Medical Cross-Silo Federated Learning
Efficient Privacy-Preserving Medical Cross-Silo Federated Learning Open
View article: nnInteractive: Redefining 3D Promptable Segmentation
nnInteractive: Redefining 3D Promptable Segmentation Open
Accurate and efficient 3D segmentation is essential for both clinical and research applications. While foundation models like SAM have revolutionized interactive segmentation, their 2D design and domain shift limitations make them ill-suit…
View article: Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI
Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI Open
View article: Efficient Cell Segmenter
Efficient Cell Segmenter Open
Checkpoint files for our very efficient cell segmentation algorithm
View article: Efficient Cell Segmenter
Efficient Cell Segmenter Open
Checkpoint files for our very efficient cell segmentation algorithm
View article: P6208Endothelial damage and its relation to coronary artery stenosis. A correlation between molecular cardiovascular magnetic resonance imaging, and quantitative coronary angiography
P6208Endothelial damage and its relation to coronary artery stenosis. A correlation between molecular cardiovascular magnetic resonance imaging, and quantitative coronary angiography Open