Pinned Repositories
CellEmbeddings
A fully unsupervised learning method that encodes cell phenotypes, morphologies, and cell-to-cell interactions from multiplex tissue images. For each cell, a contextual embedding is created.
NaroNet
Trained only with subject-level labels, NaroNet discovers phenotypes, neighborhoods, and areas with the highest influence when classifying subject types.
NMF-RI
Spectral unmixing of highly mixed multispectral flow and image cytometry data.
PatchContrastiveLearning
A contrastive learning algorithm that encodes pixel information into enriched patch-level embeddings
Synplex
Computer simulator of multiplex tissue images from a set of user-defined parameters
djimenezsanchez's Repositories
djimenezsanchez/NaroNet
Trained only with subject-level labels, NaroNet discovers phenotypes, neighborhoods, and areas with the highest influence when classifying subject types.
djimenezsanchez/NMF-RI
Spectral unmixing of highly mixed multispectral flow and image cytometry data.
djimenezsanchez/Synplex
Computer simulator of multiplex tissue images from a set of user-defined parameters
djimenezsanchez/PatchContrastiveLearning
A contrastive learning algorithm that encodes pixel information into enriched patch-level embeddings
djimenezsanchez/CellEmbeddings
A fully unsupervised learning method that encodes cell phenotypes, morphologies, and cell-to-cell interactions from multiplex tissue images. For each cell, a contextual embedding is created.