publications

2025

1. 

   TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models

   L. Weijler, M. J. Mirza, L. Sick, and 2 more authors

   International Conference on 3D Vision (3DV), 2025

   arXiv Bib HTML

   @article{weijler2025tttkd,
     title = {TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models},
     author = {Weijler, L. and Mirza, M. J. and Sick, L. and Ekkazan, C. and Hermosilla, P.},
     journal = {International Conference on 3D Vision (3DV)},
     year = {2025},
   }

2. 

   Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds

   L. Weijler and P. Hermosilla

   International Conference on 3D Vision (3DV), 2025

   arXiv Bib HTML

   @article{weijler2025roteq,
     title = {Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds},
     author = {Weijler, L. and Hermosilla, P.},
     journal = {International Conference on 3D Vision (3DV)},
     year = {2025},
   }

2024

1. 

   FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data

   L. Weijler, F. Kowarsch, M. Reiter, and 3 more authors

   Winter Conference on Applications of Computer Vision (WACV), 2024

   arXiv Bib HTML

   @article{weijler2024fate,
     author = {Weijler, L. and Kowarsch, F. and Reiter, M. and Hermosilla, P. and Maurer-Granofszky, M. and Dworzak, M.},
     title = {FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data},
     journal = {Winter Conference on Applications of Computer Vision (WACV)},
     year = {2024},
   }

2. 

   On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data

   L. Weijler, M. Reiter, P. Hermosilla, and 2 more authors

   International Conference on Pattern Recognition (ICPR), 2024

   arXiv Bib HTML

   @article{weijler2024gcn,
     author = {Weijler, L. and Reiter, M. and Hermosilla, P. and Maurer-Granofszky, M. and Dworzak, M.},
     title = {On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data},
     journal = {International Conference on Pattern Recognition (ICPR)},
     year = {2024},
   }

3. 

   FCM marker importance for MRD assessment in T-cell acute lymphoblastic leukemia: An AIEOP-BFM-ALL-FLOW study group report

   F. Kowarsch, M. Maurer-Granofszky, L. Weijler, and 11 more authors

   Cytometry Part A, 2024

   Bib HTML

   @article{kowarsch2024fcm,
     title = {FCM marker importance for MRD assessment in T-cell acute lymphoblastic leukemia: An AIEOP-BFM-ALL-FLOW study group report},
     author = {Kowarsch, F. and Maurer-Granofszky, M. and Weijler, L. and W{\"o}dlinger, M. and Reiter, M. and Schumich, A. and Feuerstein, T. and Sala, S. and Nov{\'a}kov{\'a}, M. and Faggin, G. and Gaipa, G. and Hrusak, O. and Buldini, B. and Dworzak, M.},
     journal = {Cytometry Part A},
     volume = {105},
     number = {1},
     pages = {24--35},
     year = {2024},
     publisher = {Wiley Online Library},
   }

2023

1. 

   Incarceration history is associated with HIV infection among community-recruited people who inject drugs in Europe: A propensity-score matched analysis of cross-sectional studies

   A. Uusküla, J. Rannap, L. Weijler, and 8 more authors

   Addiction, 2023

   HTML

2. 

   Explainable Techniques for Analyzing Flow Cytometry Cell Transformers

   F. Kowarsch, L. Weijler, F. Kleber, and 4 more authors

   arXiv preprint arXiv:2307.14581, 2023

   arXiv

2022

1. 

   Towards self-explainable transformers for cell classification in flow cytometry data

   F. Kowarsch, L. Weijler, M. Wödlinger, and 8 more authors

   In International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, 2022

   HTML

2. 

   Automated identification of cell populations in flow cytometry data with transformers

   M. Wödlinger, M. Reiter, L. Weijler, and 8 more authors

   Computers in Biology and Medicine, 2022

   arXiv HTML

3. 

   Umap based anomaly detection for minimal residual disease quantification within acute myeloid leukemia

   L. Weijler, F. Kowarsch, M. Wödlinger, and 4 more authors

   Cancers, 2022

   HTML

2021

1. 

   Detecting rare cell populations in flow cytometry data using UMAP

   L. Weijler, M. Diem, M. Reiter, and 1 more author

   In 2020 25th International Conference on Pattern Recognition (ICPR), 2021

   HTML