Hubert Dariusz Zajac

According to our database, Hubert Dariusz Zajac authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

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., April, 2025

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.

Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, Andre Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Reframing Automation Benefits: A Human-Centered Approach to Expanding the Value of AI-Generated Reports in Healthcare.

Hubert Dariusz Zajac, Niels Kvorning Ternov

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

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

Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship.

Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Hubert Dariusz Zajac, Veronika Cheplygina

CoRR, 2024

Copycats: the many lives of a publicly available medical imaging dataset.

Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Anna Rogers, Hubert Dariusz Zajac, Veronika Cheplygina

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

"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

Proceedings of the Designing Interactive Systems Conference, 2024

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., April, 2023

Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI.

Hubert Dariusz Zajac, Natalia Rozalia Avlona, Finn Kensing, Tariq Osman Andersen, Irina Shklovski

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Designing ground truth for Machine Learning - conceptualisation of a collaborative design process between medical professionals and data scientists.

Hubert Dariusz Zajac

Proceedings of 20th European Conference on Computer-Supported Cooperative Work, Coimbra, Portugal, June 27, 2022

2020

Iteratively Adapting Avatars using Task-Integrated Optimisation.

Jess McIntosh, Hubert Dariusz Zajac, Andreea Nicoleta Stefan, Joanna Bergström, Kasper Hornbæk

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020