Maximilian Zenk

1. Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
   2024/04/03 by Yannick Kirchhoff, Kirchhoff, Yannick, Maximilian Rokuss +18 · 10 citations
   Engineering · #Additive Manufacturing and 3D Printing Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Manufacturing Process and Optimization #Modular Robots and Swarm Intelligence #electronic engineering #information engineering
2. The Federated Tumor Segmentation (FeTS) Challenge
   2021/05/12 by Sarthak Pati, Ujjwal Baid, Pati, Sarthak +60 · 3 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Privacy-Preserving Technologies in Data #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
3. ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
   2024/01/16 by Kim-Celine Kahl, Carsten T. Lüth, Kahl, Kim-Celine +7 · 3 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification
4. Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
   2024/09/20 by Maximilian Rokuss, Rokuss, Maximilian, Yannick Kirchhoff +20 · 6 citations
   Computer Science · Medicine · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
5. Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
   2024/06/05 by Maximilian Zenk, David Zimmerer, Zenk, Maximilian +11 · 2 citations
   Medicine · #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
6. Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
   2024/05/15 by Markus Bujotzek, Bujotzek, Markus R., Ünal Akünal +37 · 2 citations
   Medicine · #Artificial Intelligence in Healthcare and Education #Radiomics and Machine Learning in Medical Imaging #Radiology practices and education
7. Biomedical image analysis competitions: The state of current participation practice
   2022/12/16 by Matthias Eisenmann, Eisenmann, Matthias, Annika Reinke +452 · 1 citation
   Engineering · Medicine · #Artificial Intelligence in Healthcare and Education #Biomedical and Engineering Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging