Publications

Publications

For a full list of my publications, please visit the google scholar page.

*Indicates equal contribution
In reverse order of publication time

• Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
  V. Olesen, N. Weng, A. Feragen, E. Petersen.
  In Workshop on Fairness of AI in Medical Imaging (FAIMI) @ MICCAI, 2024. Oral presentation.
  [arXiv]   [code]

• Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria
  S. Sterlie, N. Weng, A. Feragen
  In Workshop on Fairness and ethics towards transparent AI: facing the chalLEnge through model Debiasing @ ECCV, 2024.
  [arXiv]   [code]   [news]

• Shortcut Learning in Medical Image Segmentation
  M. Lin*, N. Weng*, K. Mikolaj, Z. Bashir, M. B. S. Svendsen, M. Tolsgaard, A. N. Christensen, A. Feragen
  In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
  [paper]  [arXiv]   [code]

• Fast diffusion-based counterfactuals for shortcut removal and generation
  N. Weng*, P. Pegios*, E. Petersen, A. Feragen, S. Bigdeli
  In European Conference on Computer Vision (ECCV), 2024. Oral presentation (top 2.3%).
  [paper]   [arXiv]   [project page]   [code]

• Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?
  N. Weng, S. Bigdeli, E. Petersen, A. Feragen
  In Workshop on Fairness of AI in Medical Imaging (FAIMI) @ MICCAI, 2023.
  [paper]  [arXiv]   [code]

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography
  N. Weng, M. B. Płomecka, M. Kaufmann, A. Kastrati, R. Wattenhofer, N. Langer
  In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
  [paper]  [arXiv]

• Will you ever become popular? learning to predict virality of dance clips
  J. Wang, Y. Wang, N. Weng, T. Chai, A. Li, F. Zhang, S. Yu
  In ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
  [paper]  [arXiv]

• A Second-Order Adaptive Network Model for Exam-Related Anxiety Regulation
  I. Barradas*, A. Kloc*, N. Weng*, J. Treur
  In Biologically Inspired Cognitive Architectures Meeting, 2021.
  [paper]

• Two-stream temporal convolutional network for dynamic facial attractiveness prediction
  N. Weng, J. Wang, A. Li, Y. Wang
  In International Conference on Pattern Recognition (ICPR), 2020.
  [paper]

Pre-prints

• Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
  P. Pegios, M. Lin, N. Weng, M. B. S. Svendsen, Z. Bashir, S. Bigdeli, A. N. Christensen, M. Tolsgaard, A.Feragen
  [arXiv]