Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation. - Fei Lyu 004; Mang Ye; Jonathan Frederik Carlsen; Kenny Erleben; Sune Darkner; Pong C. Yuen (IEEE Trans. Medical Imaging, 2023)

Clinician-Facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI. - Hubert Dariusz Zajac; Dana Li; Xiang Dai; Jonathan Frederik Carlsen; Finn Kensing; Tariq O. Andersen (ACM Trans. Comput. Hum. Interact., 2023)

"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. - Hubert Dariusz Zajac; Jorge Miguel Neves Ribeiro; Silvia Ingala; Simona Gentile; Ruth Wanjohi; Samuel Nguku Gitau; Jonathan Frederik Carlsen; Michael Bachmann Nielsen; Tariq Osman Andersen (Conference on Designing Interactive Systems, 2024)

"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. - Hubert Dariusz Zajac; Jorge M. N. Ribeiro; Silvia Ingala; Simona Gentile; Ruth Wanjohi; Samuel N. Gitau; Jonathan Frederik Carlsen; Michael Bachmann Nielsen; Tariq O. Andersen (CoRR, 2024)

Guided Synthesis of Labeled Brain MRI Data Using Latent Diffusion Models for Segmentation of Enlarged Ventricles. - Tim Ruschke; Jonathan Frederik Carlsen; Adam Espe Hansen; Ulrich Lindberg; Amalie Monberg Hindsholm; Martin Norgaard; Claes Nøhr Ladefoged (CoRR, 2024)

Towards Clinically Useful AI: From Radiology Practices in Global South and North to Visions of AI Support. - Hubert Dariusz Zajac; Tariq O. Andersen; Elijah Kwasa; Ruth Wanjohi; Mary K. Onyinkwa; Edward K. Mwaniki; Samuel N. Gitau; Shawnim S. Yaseen; Jonathan Frederik Carlsen; Marco Fraccaro; Michael Bachmann Nielsen; Yunan Chen (ACM Trans. Comput. Hum. Interact., 2025)