Matan Atad

Orcid: 0000-0001-6952-517X

According to our database1, Matan Atad authored at least 21 papers between 2022 and 2026.

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

2026
One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation.
CoRR, May, 2026

VERIDAH: Solving Enumeration Anomaly Aware Vertebra Labeling across Imaging Sequences.
CoRR, January, 2026

Geometry alone? Evaluating the predictive capability of morphed intervertebral disc FEM models with a single material configuration.
Comput. Biol. Medicine, 2026

PARASIDE: An automatic paranasal sinus segmentation and structure analysis tool for magnetic resonance imaging.
Comput. Biol. Medicine, 2026

2025
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT.
CoRR, December, 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

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
Proceedings of the Digital Twin for Healthcare - First International Workshop, 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

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
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly.
CoRR, 2023

Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading.
CoRR, 2023

Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning.
IROS, 2023

2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN.
CoRR, 2022


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