Tiarna Lee - RankMe

13 papers Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation. FAIMI@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2025	J	`jnl`	Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2025	—	`conf`	The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models. FAIMI@MICCAI Partha Shah, Durva Sankhe, Maariyah Rashid, Zakaa Khaled, Esther Puyol-Antón, Tiarna Lee, Maram Alqarni, Sweta Rai, Andrew P. King
2025	J	`jnl`	The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models. CoRR Partha Shah, Durva Sankhe, Maariyah Rashid, Zakaa Khaled, Esther Puyol-Antón, Tiarna Lee, Maram Alqarni, Sweta Rai, Andrew P. King
2025	J	`jnl`	Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration. CoRR Mubaraq Yakubu, Udunna Anazodo, Maruf Adewole, Theodore Barfoot, Tiarna Lee, Tom Vercauteren, Jonathan Shapey, Andrew P. King, Alexander Hammers
2024	J	`jnl`	An investigation into the causes of race bias in AI-based cine CMR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Sebastien Roujol, Theodore Barfoot, Shaheim Ogbomo-Harmitt, Miaojing Shi, Andrew P. King
2023	J	`jnl`	An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CoRR Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King
2023	—	`conf`	An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CLIP/FAIMI/EPIMI@MICCAI Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King
2023	—	`conf`	An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. CLIP/FAIMI/EPIMI@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
2023	J	`jnl`	An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
2023	J	`jnl`	RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
2022	—	`conf`	A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. STACOM@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2022	J	`jnl`	A systematic study of race and sex bias in CNN-based cardiac MR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King