PathomicFusion
importedsoftware/pathomicfusion
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- mahmoodlab
- Country
- unknown
- Homepage
- www.mahmoodlab.org
- Repository
- github.com/mahmoodlab/PathomicFusion
- Documentation
- unknown
- Tags
- computational-pathogenomics · fusion · genomics · histopathology · mahmoodlab · multimodal · multimodal-network · pathology
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MCATgenomics · mahmoodlab · multimodal · pathology
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
- PORPOISEgenomics · mahmoodlab
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- aestetikhistopathology · multimodal
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- SurvivMIL_COMPAYLhistopathology · multimodal
SurvivMIL: A multimodal, Multiple Instance Learning pipeline for survival outcome of Neuroblastoma Patients
- eovhistopathology · pathology
A lightweight, cross-platform Whole Slide Image (WSI) viewer for digital pathology.
- eov-annotations-pluginhistopathology · pathology
Annotations plugin for EOV, a lightweight WSI viewer.
- api.github.com/repos/mahmoodlab/PathomicFusionretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-08-22, 327 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/18.json→ .entries["pathomicfusion"]
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