Robert Graf

Orcid: 0000-0001-6656-3680

According to our database1, Robert Graf authored at least 21 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography.
CoRR, July, 2025

Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort.
CoRR, May, 2025

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI.
CoRR, February, 2025

PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI.
CoRR, January, 2025

Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc.
Comput. Biol. Medicine, 2025

2024
Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model.
CoRR, 2024

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder.
CoRR, 2024

TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images.
CoRR, 2024

SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation.
CoRR, 2024

A Procedural Production System for Autonomous Vehicle Simulation.
Proceedings of the ACM SIGGRAPH 2024 Talks, 2024

Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

2023
Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR, 2023

Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification.
CoRR, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2020
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017
Self-destructive percolation as a limit of forest-fire models on regular rooted trees.
Random Struct. Algorithms, 2017

2010
Rendering the Mandelbulb.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010


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