Anne-Marie’s picks of the day(Monday): Anne-Marie Rickmann is a PhD candidate at the Ludwig Maximilian’s University of Munich, and affiliated researcher at the department of radiology at the Technical University of Munich, supervised by Christian Wachinge. “My research focuses on deep learning methods for medical image segmentation. I am particularly interested in the use of 3D data and one focus of my work during my PhD was developing cortical surface reconstruction techniques using deep learning. (Oral 3) LOTUS: Learning to Optimize Task-based US representations (Oral 4) From Tissue to Sound: Model-based Sonification of Medical Imaging (Oral 4) Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive … READ OUR FULL REVIEW ON THE NEXT PAGE! (M-01-031) Cortical analysis of heterogeneous clinical brain MRI scans for large … (M-01-083) Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI … (M-01-103) SegmentOR: Obtaining Efficient Operating Room Semantics Through … Learn more about Anne-Marie’s work! Don’t miss: Madeleine is presenting today her own work: M-01-139 Vertex Correspondence in Cortical Surface Reconstruction. Don't forget to visit her during poster session 1, she’s great! As a computer scientist with a unique background as a clinical nurse, I have a deep appreciation for the clinical implications inherent in our research. This appreciation drives my commitment to developing solutions that not only advance the forefront of medical image processing but also have a direct impact on improving patient care and diagnosis.” Oral: Posters: For today, Monday 9 7 DAILY Monday Anne-Marie’s Picks MICCAI
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