Alexander Jaus

Orcid: 0000-0002-0669-0300

According to our database1, Alexander Jaus authored at least 10 papers between 2021 and 2024.

Collaborative distances:

Timeline

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2022
2023
2024
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PhD thesis 
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Links

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Bibliography

2024
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations.
CoRR, 2024

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks.
CoRR, 2024

LIMIS: Towards Language-based Interactive Medical Image Segmentation.
CoRR, 2024

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
CoRR, 2024

Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Anatomy-Guided Pathology Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning.
IEEE Trans. Intell. Transp. Syst., April, 2023

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines.
CoRR, 2023

Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling.
CoRR, 2023

2021
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021


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