Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. - Carla Sendra-Balcells; Víctor M. Campello; Jordina Torrents-Barrena; Yahya Ali Ahmed; Mustafa A. Elattar; Benard Ohene Botwe; Pempho Nyangulu; William Stones; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Senai Goitom Sereke; et al. (CoRR, 2022)

Efficient UAV Autonomous Navigation with CNNs. - Kamil Wojciech Mikolaj; Martin Lauersen; Tomer Tchelet; Daniel Ortiz Arroyo; Petar Durdevic (CoDIT, 2023)

Removing confounding information from fetal ultrasound images. - Kamil Wojciech Mikolaj; Manxi Lin; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (CoRR, 2023)

Shortcut Learning in Medical Image Segmentation. - Manxi Lin; Nina Weng; Kamil Wojciech Mikolaj; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (MICCAI (8), 2024)

Spherical Harmonics Grid for Fast Ultrasound 3D Reconstruction. - Kamil Wojciech Mikolaj; Anders Nymark Christensen (SCIA (1), 2025)

Predicting abnormal fetal growth using deep learning. - Kamil Wojciech Mikolaj; Anders Nymark Christensen; Caroline Taksøe-Vester; Aasa Feragen; Olav Bjørn Petersen; Manxi Lin; Mads Nielsen; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard (npj Digit. Medicine, 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, 2025)