Paul F. Jäger
German Cancer Research Center(DE)Heidelberg University(DE)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, COVID-19 diagnosis using AI, Artificial Intelligence in Healthcare and Education, AI in cancer detection
Most-Cited Works
- → Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?(2018)2,134 cited
- → The Liver Tumor Segmentation Benchmark (LiTS)(2022)1,081 cited
- → Metrics reloaded: recommendations for image analysis validation(2024)351 cited
- → MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation(2023)249 cited
- → nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation(2024)236 cited
- → The Cell Tracking Challenge: 10 years of objective benchmarking(2023)200 cited
- → Understanding metric-related pitfalls in image analysis validation