386 citations · 1k across the 63 of their papers we have counts for
6 papers · 1 filter
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning
Ezequiel de la Rosa, Diana M. Sima, Bjoern Menze +2
Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. As such, it helps clinicians to decide on the…
Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
Amirhossein Bayat, Suprosanna Shit, Adrian Kilian +3
Designing of a cranial implant needs a 3D understanding of the complete skull shape. Thus, taking a 2D approach is sub-optimal, since a 2D model lacks a holistic 3D view of both th…
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou +2
This paper presents a novel yet efficient defense framework for segmentation models against adversarial attacks in medical imaging. In contrary to the defense methods against adver…
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
Malek Husseini, Anjany Sekuboyina, Maximilian Loeffler +3
Osteoporotic vertebral fractures have a severe impact on patients' overall well-being but are severely under-diagnosed. These fractures present themselves at various levels of seve…
Inferring the 3D Standing Spine Posture from 2D Radiographs
Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold +5
The treatment of degenerative spinal disorders requires an understanding of the individual spinal anatomy and curvature in 3D. An upright spinal pose (i.e. standing) under natural…
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…