Nina Weng

22 papers B 1Journal 13Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Detecting labeling bias using influence functions.
CoRR
Frida Jørgensen, Nina Weng, Siavash Arjomand Bigdeli
2025 — conf
Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment.
ASMUS@MICCAI
Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025 — conf
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.
FAccT
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, André G. C. 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
2025 J jnl
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.
CoRR
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, André G. C. 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
2025 J jnl
Patronus: Bringing Transparency to Diffusion Models with Prototypes.
CoRR
Nina Weng, Aasa Feragen, Siavash Arjomand Bigdeli
2025 J jnl
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models.
CoRR
Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024 J jnl
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment.
CoRR
Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2024 — conf
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation.
ECCV (86)
Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli
2024 — conf
Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria.
ECCV Workshops (21)
Sara Sterlie, Nina Weng, Aasa Feragen
2024 J jnl
Non-discrimination Criteria for Generative Language Models.
CoRR
Sara Sterlie, Nina Weng, Aasa Feragen
2024 — conf
Shortcut Learning in Medical Image Segmentation.
MICCAI (8)
Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024 J jnl
Shortcut Learning in Medical Image Segmentation.
CoRR
Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024 — conf
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods.
FAIMI/EPIMI@MICCAI
Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen
2024 J jnl
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods.
CoRR
Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen
2023 — conf
An Interpretable and Attention-Based Method for Gaze Estimation Using Electroencephalography.
MICCAI (2)
Nina Weng, Martyna Plomecka, Manuel Kaufmann, Ard Kastrati, Roger Wattenhofer, Nicolas Langer
2023 J jnl
An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography.
CoRR
Nina Weng, Martyna Plomecka, Manuel Kaufmann, Ard Kastrati, Roger Wattenhofer, Nicolas Langer
2023 — conf
Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?
CLIP/FAIMI/EPIMI@MICCAI
Nina Weng, Siavash Arjomand Bigdeli, Eike Petersen, Aasa Feragen
2023 J jnl
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis?
CoRR
Nina Weng, Siavash Arjomand Bigdeli, Eike Petersen, Aasa Feragen
2023 J jnl
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation.
CoRR
Nina Weng, Paraskevas Pegios, Aasa Feragen, Eike Petersen, Siavash Arjomand Bigdeli
2022 J jnl
Will You Ever Become Popular? Learning to Predict Virality of Dance Clips.
ACM Trans. Multim. Comput. Commun. Appl.
Jiahao Wang, Yunhong Wang, Nina Weng, Tianrui Chai, Annan Li, Faxi Zhang, Sansi Yu
2021 J jnl
Will You Ever Become Popular? Learning to Predict Virality of Dance Clips.
CoRR
Jiahao Wang, Yunhong Wang, Nina Weng, Tianrui Chai, Annan Li, Faxi Zhang, Sansi Yu
2020 B conf
Two-Stream Temporal Convolutional Network for Dynamic Facial Attractiveness Prediction.
ICPR
Nina Weng, Jiahao Wang, Annan Li, Yunhong Wang