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08/28/2023
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
Over the last ten years, Patient-Derived Organoids (PDOs) emerged as the...
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06/27/2023
Structured State Space Models for Multiple Instance Learning in Digital Pathology
Multiple instance learning is an ideal mode of analysis for histopatholo...
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09/12/2022
CustOmics: A versatile deep-learning based strategy for multi-omics integration
Recent advances in high-throughput sequencing technologies have enabled ...
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08/11/2022
Interpretable cytometry cell-type annotation with flow-based deep generative models
Cytometry enables precise single-cell phenotyping within heterogeneous p...
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12/20/2021
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against Myeloproliferative Neoplasms
Myeloproliferative Neoplasms (MPN) are blood cancers that appear after a...
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06/21/2021
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
Providing a human-understandable explanation of classifiers' decisions h...
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05/18/2021
Neural networks to predict survival from RNA-seq data in oncology
Survival analysis consists of studying the elapsed time until an event o...
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12/14/2020
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
Explaining decisions of black-box classifiers is paramount in sensitive ...
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12/22/2017