@@ -53,14 +53,13 @@ Predictive models are an integral part of medical image analysis, forming the ba
For example see:
*[Lin et al., 2023, DTUNet: Learning topological similarity for curvilinear structure segmentation, Information Processing in Medical Imaging (IPMI 2023)](https://arxiv.org/abs/2205.11115)
*[Lin et al., DTUNet: Learning topological similarity for curvilinear structure segmentation, Information Processing in Medical Imaging (IPMI) 2023](https://arxiv.org/abs/2205.11115)
*[Zepf et al: That Label's Got Style, International Conference on Learning Representations (ICLR) 2023](https://openreview.net/forum?id=wZ2SVhOTzBX)
*[Czolbe, ..., and Feragen: Is segmentation uncertainty useful?, Information Processing in Medical Imaging (IPMI) 2021](https://link.springer.com/chapter/10.1007/978-3-030-78191-0_55)
*[Czolbe, Feragen and Krause: Spot the Difference: Detection of Topological Changes
via Geometric Alignment, Neural Information Processing Systems (NeurIPS) 2021](https://proceedings.neurips.cc/paper/2021/file/7867d6557b82ed3b5d61e6591a2a2fd3-Paper.pdf)
*[Petersen et al: Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiY1c6frb38AhVqRvEDHaDDA9cQFnoECB4QAQ&url=https%3A%2F%2Fwww.springerprofessional.de%2Ffeature-robustness-and-sex-differences-in-medical-imaging-a-case%2F23500000&usg=AOvVaw33I4dX-c9GMft0uMATSNuy)
*[Lin et al: I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks, arXiv 2022](https://arxiv.org/abs/2211.10630)
