Christoph Lippert
Orcid: 0000-0001-6363-2556Affiliations:
- Hasso Plattner Institute, Potsdam, Germany
- Hasso Plattner Institute for Digital Health at Mount Sinai (HPI-MS), New York, NY, USA
According to our database1,
Christoph Lippert
authored at least 47 papers
between 2009 and 2024.
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Bibliography
2024
A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare.
Frontiers Digit. Health, 2024
Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC.
Comput. Vis. Image Underst., 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts.
CoRR, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.
Bioinform., September, 2023
A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Automatic Detection of Subjective, Annotated and Physiological Stress Responses from Video Data.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022
2021
Publisher Correction: Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa.
npj Digit. Medicine, 2021
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa.
npj Digit. Medicine, 2021
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout.
CoRR, 2021
Interactive Volumetric Region Growing for Brain Tumor Segmentation on MRI using WebGL.
Proceedings of the Web3D '21: The 26th International Conference on 3D Web Technology, Pisa, Italy, November 8, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
Generative multi-adversarial network for striking the right balance in abdominal image segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2018
Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease.
CoRR, 2018
2017
2016
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016
2015
2014
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.
Bioinform., 2014
2013
A Lasso multi-marker mixed model for association mapping with population structure correction.
Bioinform., 2013
Bioinform., 2013
Detecting regulatory gene-environment interactions with unmeasured environmental factors.
Bioinform., 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
easyGWAS: An integrated interspecies platform for performing genome-wide association studies
CoRR, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Bioinform., 2010
2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009