Elisabeth Rumetshofer

Johannes Kepler University of Linz — Austria

Computer Science · Physical Sciences

9h-index338citations18works6.52yr avg
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Research Topics

Computational Drug Discovery Methods(7), Cell Image Analysis Techniques(6), Image Processing Techniques and Applications(4), AI in cancer detection(3), Domain Adaptation and Few-Shot Learning(3)

Publications18 total

Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions
Scientific Reports·2024· 16 citedOpen Access
Contrastive Abstraction for Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging
2024
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 10 citedOpen Access
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures
Nature Communications·2023· 47 citedOpen Access
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
arXiv (Cornell University)·2023· 1 citedOpen Access
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures
2022· 2 citedOpen Access
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures
2022· 2 citedOpen Access
Contrastive learning of image- and structure-based representations in drug discovery
Zenodo (CERN European Organization for Nuclear Research)·2022· 9 citedOpen Access
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
arXiv (Cornell University)·2021· 31 citedOpen Access
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
arXiv (Cornell University)·2021· 30 citedOpen Access
Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns
Modern Pathology·2020· 46 cited
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors\n using deep neural networks
arXiv (Cornell University)·2020Open Access
Large-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks
SSRN Electronic Journal·2020· 13 citedOpen Access
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images
arXiv (Cornell University)·2019· 2 citedOpen Access
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks
Journal of Chemical Information and Modeling·2019· 119 cited
End-to-end learning of pharmacological assays from high-resolution microscopy images
2018
Human-level Protein Localization with Convolutional Neural Networks
International Conference on Learning Representations·2018· 10 cited

Frequent Co-authors

Sepp Hochreiter(16), Günter Klambauer(14), Markus Hofmarcher(8), Andreas Fürst(4), Johannes M. Lehner(4), Andreas Mayr(3), Ana Sanchez-Fernandez(2), Susanne Kimeswenger(2), Philipp Tschandl(2), Hubert Ramsauer(2), David P. Kreil(2), Michael Kopp(2), Angela Bitto-Nemling(2), Emese Sükei(2), Niklas Schmidinger(2), Ursula Schmidt-Erfurth(2), Hrvoje Bogunović(2), Peter Ruch(2), Philipp Renz(2), Johannes Schimunek(2)