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Elisabeth Rumetshofer

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Nature Communications|November 13, 2023
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structuresAna Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, et al.
Journal of Chemical Information and Modeling|March 7, 2019
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional NetworksMarkus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, et al.
Scientific Reports|November 5, 2024
Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictionsEmese Sükei, Elisabeth Rumetshofer, Niklas Schmidinger, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|November 13, 2020
Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patternsSusanne Kimeswenger, Philipp Tschandl, Petar Noack, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

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Pageof 1
Nature Communications|November 13, 2023
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structuresAna Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, et al.
Journal of Chemical Information and Modeling|March 7, 2019
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional NetworksMarkus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, et al.
Scientific Reports|November 5, 2024
Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictionsEmese Sükei, Elisabeth Rumetshofer, Niklas Schmidinger, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|November 13, 2020
Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patternsSusanne Kimeswenger, Philipp Tschandl, Petar Noack, et al.
Pageof 1