18 citations · 54 across the 11 of their papers we have counts for
13 papers
Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
Souraj Adhikary, Negar Chabi, Andre Mastmeyer
Distribution-free risk control adds organ-specific recall guarantees to frozen segmentation. We calibrate per-organ thresholds for an AMOS-trained nnU-Net, audit transfer to RAOS,…
Multi-planar 2D-U-Net Segmentation of 3D-CT Abdominal Organs augmented by Spatial Occurrence Maps
Daria Kern, Negar Chabi, Souraj Adhikary +1
This work proposes a lightweight 2D-U-Net-based framework for segmenting five abdominal organs in large field-of-view 3D CT scans. The method combines coarse-to-fine segmentation,…
SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation
Souraj Adhikary, Negar Chabi, Andre Mastmeyer
Standard segmentation metrics such as Dice and Hausdorff distance measure geometric overlap but say nothing about whether a segmented surface is suitable for haptic rendering in su…
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images
Nico Zettler, Andre Mastmeyer
A two-step concept for 3D segmentation on 5 abdominal organs inside volumetric CT images is presented. First each relevant organ's volume of interest is extracted as bounding box.…
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review
Daria Kern, Andre Mastmeyer
This paper discusses current methods and trends for 3D bounding box detection in volumetric medical image data. For this purpose, an overview of relevant papers from recent years i…
Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations
Niclas Kath, Heinz Handels, Andre Mastmeyer
Purpose: Radio-frequency ablations play an important role in the therapy of malignant liver lesions. The navigation of a needle to the lesion poses a challenge for both the trainee…