Sebastian Nørgaard Llambias

According to our database, Sebastian Nørgaard Llambias authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning.

Julia Machnio, Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi

CoRR, June, 2025

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound.

Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen

CoRR, June, 2025

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.

Asbjørn Munk, Stefano Cerri, Jakob Ambsdorf, Julia Machnio, Sebastian Nørgaard Llambias, Vardan Nersesjan, Christian Hedeager Krag, Peirong Liu, Pablo Rocamora-García, Mostafa Mehdipour-Ghazi, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, June, 2025

Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging.

Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

2024

AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation.

Asbjørn Munk, Jakob Ambsdorf, Sebastian Nørgaard Llambias, Mads Nielsen

CoRR, 2024

Yucca: A Deep Learning Framework For Medical Image Analysis.

Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi

CoRR, 2024

Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification.

Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Active Transfer Learning for 3D Hippocampus Segmentation.

Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023