Semi-supervised learning with natural language processing for right ventricle classification in echocardiography - a scalable approach. - Eva Hagberg; David Hagerman; Richard Johansson; Nasser Hosseini; Jan Liu; Elin Björnsson; Jennifer Alvén; Ola Hjelmgren (Comput. Biol. Medicine, 2022)

Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (CoRR, 2022)

Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (WACV (Workshops), 2023)

SwInception - Local Attention Meets Convolutions. - David Hagerman; Roman Naeem; Jakob Lindqvist; Carl Lindström; Fredrik Kahl; Lennart Svensson (ICPRAI (1), 2024)

Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking. - Roman Naeem; David Hagerman; Lennart Svensson; Fredrik Kahl (MICCAI (11), 2024)

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction. - David Hagerman; Anna Johnning; Roman Naeem; Fredrik Kahl; Erik Kristiansson; Lennart Svensson (AAAI, 2025)

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes. - Roman Naeem; David Hagerman; Jennifer Alvén; Lennart Svensson; Fredrik Kahl (CoRR, 2025)