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Natalia Rozalia Avlona
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2020 – today
- 2025
- [i3]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:
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. CoRR abs/2501.10727 (2025) - 2024
- [c5]Harriet Simms
, Aditi Surana
, Carlos Guerrero Millan
, Natalia Rozalia Avlona
, SJ Bennett
, Ewa Luger
, Bettina Nissen
:
Data of/by/for the People: Designing Participatory Approaches to Data Governance. Conference on Designing Interactive Systems (Companion Volume) 2024 - [c4]Hanhua Xiao
, Yuchen Li
, Yanhao Wang
, Panagiotis Karras
, Kyriakos Mouratidis
, Natalia Rozalia Avlona
:
How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs. KDD 2024: 3539-3550 - [c3]Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Anna Rogers, Hubert Dariusz Zajac, Veronika Cheplygina:
Copycats: the many lives of a publicly available medical imaging dataset. NeurIPS 2024 - [i2]Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Hubert Dariusz Zajac, Veronika Cheplygina:
Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship. CoRR abs/2402.06353 (2024) - 2023
- [c2]Hubert Dariusz Zajac
, Natalia Rozalia Avlona
, Finn Kensing
, Tariq Osman Andersen
, Irina Shklovski
:
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI. AIES 2023: 351-362 - [c1]Natalia Rozalia Avlona, Irina Shklovski:
Matters of Data Care: From data-centric to domain-centric patient-centrism in the Health Tech Sector. ECSCW 2023 - [i1]Hubert Dariusz Zajac, Natalia Rozalia Avlona, Tariq O. Andersen, Finn Kensing, Irina Shklovski:
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI. CoRR abs/2309.12327 (2023)
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