activity
20192026
most cited3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Mesh Models Using Local Anatomical Vertebral Axes

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026★ 1 cited

SLD: Segmentation-Based Landmark Detection for Spinal Ligaments

Lara Blomenkamp, Ivanna Kramer, Sabine Bauer +1

In biomechanical modeling, the representation of ligament attachments is crucial for a realistic simulation of the forces acting between the vertebrae. These forces are typically m…

cs.CV2024

Spinal ligaments detection on vertebrae meshes using registration and 3D edge detection

Ivanna Kramer, Lara Blomenkamp, Kevin Weirauch +2

Spinal ligaments are crucial elements in the complex biomechanical simulation models as they transfer forces on the bony structure, guide and limit movements and stabilize the spin…

eess.IV2024

Reconstruction of 3D lumbar spine models from incomplete segmentations using landmark detection

Lara Blomenkamp, Ivanna Kramer, Sabine Bauer +2

Patient-specific 3D spine models serve as a foundation for spinal treatment and surgery planning as well as analysis of loading conditions in biomechanical and biomedical research.…

cs.CV2024★ 2 cited

3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Mesh Models Using Local Anatomical Vertebral Axes

Ivanna Kramer, Vinzent Rittel, Lara Blomenkamp +2

Vertebral morphological measurements are important across various disciplines, including spinal biomechanics and clinical applications, pre- and post-operatively. These measurement…

cs.RO2023

HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance

Ivanna Kramer, Kevin Weirauch, Sabine Bauer +2

Rollator walkers allow people with physical limitations to increase their mobility and give them the confidence and independence to participate in society for longer. However, roll…

cs.CV2019

Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping

Pascal Schneider, Raphael Memmesheimer, Ivanna Kramer +1

Gesture recognition opens up new ways for humans to intuitively interact with machines. Especially for service robots, gestures can be a valuable addition to the means of communica…

cs.LG2019

Simitate: A Hybrid Imitation Learning Benchmark

Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib +1

We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning. A dataset containing 1938 sequences where humans perform daily ac…