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Found 8 papers, 3 papers with code
A biology-driven deep generative model for cell-type annotation in cytometry
Cytometry enables precise single-cell phenotyping within heterogeneous populations.
CustOmics: A versatile deep-learning based strategy for multi-omics integration
Recent advances in high-throughput sequencing technologies have enabled the extraction of multiple features that depict patient samples at diverse and complementary molecular levels.
Structured State Space Models for Multiple Instance Learning in Digital Pathology
In such cases, a whole slide image is modelled as a collection of tissue patches to be aggregated and classified.
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
From a given classifier, we train two generators to produce from an input image the so called similar and adversarial images.
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
We show that visual explanation can be produced as the difference between two generated images obtained via two specific conditional generative models.
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFN$α$ therapy against Myeloproliferative Neoplasms
Myeloproliferative Neoplasms (MPN) are blood cancers that appear after acquiring a driver mutation in a hematopoietic stem cell.
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
In particular, PDOs are attracting interest in the field of Functional Precision Medicine (FPM), which is based upon an ex-vivo drug test in which living tumor cells (such as PDOs) from a specific patient are exposed to a panel of anti-cancer drugs.
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Under unconfoundedness, we target the Individual Treatment Effect (ITE) estimation with unobserved heterogeneity in the treatment response due to missing risk factors.
