Lisa Weijler

According to our database, Lisa Weijler authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields.

Lisa Weijler, Sebastian Koch, Fabio Poiesi, Timo Ropinski, Pedro Hermosilla

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

TTT-KD: Test-Time Training for 3D Semantic Segmentation Through Knowledge Distillation From Foundation Models.

Lisa Weijler, Muhammad Jehanzeb Mirza, Leon Sick, Can Ekkazan, Pedro Hermosilla

Proceedings of the International Conference on 3D Vision, 2025

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

Lisa Weijler, Pedro Hermosilla

Proceedings of the International Conference on 3D Vision, 2025

2024

FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data.

Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

On the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data.

Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Explainable Techniques for Analyzing Flow Cytometry Cell Transformers.

Florian Kowarsch, Lisa Weijler, Florian Kleber, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak

CoRR, 2023

2022

Automated identification of cell populations in flow cytometry data with transformers.

Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Elisa O. Sajaroff, Stefanie Groeneveld-Krentz, Jorge G. Rossi, Leonid Karawajew, Richard Ratei, Michael N. Dworzak

Comput. Biol. Medicine, 2022

Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data.

Florian Kowarsch, Lisa Weijler, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Angela Schumich, Elisa O. Sajaroff, Stefanie Groeneveld-Krentz, Jorge G. Rossi, Leonid Karawajew, Richard Ratei, Michael N. Dworzak

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021

Automated Identification of Cell Populations in Flow Cytometry Data with Transformers.

Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Michael N. Dworzak

CoRR, 2021

2020

Detecting Rare Cell Populations in Flow Cytometry Data Using UMAP.

Lisa Weijler, Markus Diem, Michael Reiter, Margarita Maurer-Granofszky

Proceedings of the 25th International Conference on Pattern Recognition, 2020