Two-Stream Temporal Convolutional Network for Dynamic Facial Attractiveness Prediction. - Nina Weng; Jiahao Wang; Annan Li; Yunhong Wang 001 (ICPR, 2020)

Will You Ever Become Popular? Learning to Predict Virality of Dance Clips. - Jiahao Wang; Yunhong Wang 001; Nina Weng; Tianrui Chai; Annan Li; Faxi Zhang; Sansi Yu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? - Nina Weng; Siavash Arjomand Bigdeli; Eike Petersen; Aasa Feragen (CLIP/FAIMI/EPIMI@MICCAI, 2023)

An Interpretable and Attention-Based Method for Gaze Estimation Using Electroencephalography. - Nina Weng; Martyna Plomecka; Manuel Kaufmann; Ard Kastrati; Roger Wattenhofer; Nicolas Langer (MICCAI (2), 2023)

Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria. - Sara Sterlie; Nina Weng; Aasa Feragen (ECCV Workshops (21), 2024)

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. - Nina Weng; Paraskevas Pegios; Eike Petersen; Aasa Feragen; Siavash Arjomand Bigdeli (ECCV (86), 2024)

Shortcut Learning in Medical Image Segmentation. - Manxi Lin; Nina Weng; Kamil Wojciech Mikolaj; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (MICCAI (8), 2024)

Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods. - Vincent Olesen; Nina Weng; Aasa Feragen; Eike Petersen (FAIMI/EPIMI@MICCAI, 2024)

Non-discrimination Criteria for Generative Language Models. - Sara Sterlie; Nina Weng; Aasa Feragen (CoRR, 2024)

Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. - Paraskevas Pegios; Manxi Lin; Nina Weng; Morten Bo Søndergaard Svendsen; Zahra Bashir; Siavash Arjomand Bigdeli; Anders Nymark Christensen; Martin Grønnebæk Tolsgaard; Aasa Feragen (CoRR, 2024)

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; et al. (FAccT, 2025)

Patronus: Bringing Transparency to Diffusion Models with Prototypes. - Nina Weng; Aasa Feragen; Siavash Arjomand Bigdeli (CoRR, 2025)