Kristina Mach

Kristina Mach is a researcher at the Chair of Computer Science Applications in Medicine at the Technische Universität München (TUM). She focuses on interdisciplinary projects combining computer science and medical applications, particularly in imaging and robotic assistance.

• Research area: Medical imaging, machine learning, and surgical robotics
• Key technologies: Deep learning, image registration, and generative adversarial networks
• Applications: Ophthalmic surgery, radiology reporting, and intraoperative OCT

Her recent work includes SpecstatOR for iOCT segmentation, Multitask Weakly Supervised Networks for MR-US registration, and Flexr for few-shot chest X-ray classification. These projects emphasize interoperability between imaging modalities and structured reporting in clinical workflows.