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ORCIDSebastian Nørgaard Llambias
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2020 – today
- 2026
[i7]Asbjørn Munk, Stefano Cerri
, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen:
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge. CoRR abs/2604.11679 (2026)- 2025
- [c4]Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen:
General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound. MICCAI (7) 2025: 271-281 - [c3]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging. SCIA (1) 2025: 177-186 - [i6]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:
A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning. CoRR abs/2506.14432 (2025) - [i5]Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen:
General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. CoRR abs/2506.19552 (2025) - [i4]Julia Machnio, Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning. CoRR abs/2506.22041 (2025) - 2024
- [c2]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL 2024: 138-144 - [i3]Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Yucca: A Deep Learning Framework For Medical Image Analysis. CoRR abs/2407.19888 (2024) - [i2]Asbjørn Munk, Jakob Ambsdorf, Sebastian Nørgaard Llambias, Mads Nielsen:
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation. CoRR abs/2408.00640 (2024) - 2023
- [c1]Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen:
Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI 2023: 224-234 - [i1]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. CoRR abs/2308.04395 (2023)
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