Laure Ciernik
Laure Ciernik
Doctoral Researcher
Laure Ciernik is a PhD student at the TU Berlin Machine Learning Group. She completed her MSc at ETH Zurich in Data Science, focusing on ML for Healthcare and Bioinformatics. Her master’s thesis was conducted at the Boeva Lab for Computational Cancer Genomics. Laure’s research interests revolve around the intersection of Machine Learning and Biomedicine.
- Biomedical Data Analysis
- Computational genomics
- Computational pathology
- Explainable AI
Mina Jamshidi Idaji, Julius Hense, Tom Neuhäuser, Augustin Krause, Yanqing Luo, Oliver Eberle, Thomas Schnake, Laure Ciernik, Farnoush Rezaei Jafari, Reza Vahidimajd, Jonas Dippel, Christoph Walz, Frederick Klauschen, Andreas Mock, Klaus-Robert Müller
Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology
Marco Morik, Laure Ciernik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
Revealing Task-Dependent Layer Relevance via Attentive Multi-Layer Fusion
Laure Ciernik, Agnieszka Kraft, Florian Barkmann, Josephine Yates, Valentina Boeva
Robust and efficient annotation of cell states through gene signature scoring
Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
Beyond the final layer: Attentive multilayer fusion for vision transformers
Amélie Ciernik, Laure Ciernik, Peter Bonczkowitz, Monika Morak, Lucie Heinzerling, Yacine Bennaceur, Aleigha Lawless, Ryan Sullivan, Julian Kött, Christoffer Gebhardt, Thomas J Carter, Paul Nathan, Sophie Tschopp, Reinhard Dummer, Egle Ramelyte
Retrospective multicenter analysis of real-life toxicity and outcome of ipilimumab and nivolumab in metastatic uveal melanoma
Girls' Day: dEIn Labor and BIFOLD offer AI workshop
TU Berlin is once again participating in this year's "Girls' Day" on April 25, 2024. dEIn Labor and BIFOLD offer a workshop for schoolgirls from the age of 15.