Deep learning on histopathology images.
☆142Sep 8, 2021Updated 4 years ago
Alternatives and similar repositories for ST-Net
Users that are interested in ST-Net are comparing it to the libraries listed below
Sorting:
- ☆53Apr 26, 2022Updated 3 years ago
- ☆49May 19, 2025Updated 10 months ago
- PyTorch implementation of HisToGene☆52Nov 30, 2021Updated 4 years ago
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆83Oct 22, 2024Updated last year
- Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching, ICML2025 (Spotlight)☆29Aug 11, 2025Updated 7 months ago
- Code for the THItoGene☆28Apr 9, 2025Updated 11 months ago
- Train a model to predict gene expression from histology slides.☆112Jul 6, 2022Updated 3 years ago
- UniCell Deconvolve Paper☆10Apr 25, 2023Updated 2 years ago
- Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction☆19Oct 20, 2023Updated 2 years ago
- Integrating histology and spatial transcriptomics - NeurIPS 2024☆374Mar 9, 2026Updated last week
- ☆30Mar 15, 2024Updated 2 years ago
- ☆66Sep 16, 2025Updated 6 months ago
- A visual–omics foundation model to bridge histopathology with spatial transcriptomics☆131Jun 3, 2025Updated 9 months ago
- ☆161Dec 20, 2024Updated last year
- Her2 Breast Cancer Project☆96Nov 27, 2022Updated 3 years ago
- ☆22Apr 16, 2022Updated 3 years ago
- ☆13Feb 24, 2025Updated last year
- [ICLR 2025] Stem: Gene Expression Inference from Histology Images☆47Apr 15, 2025Updated 11 months ago
- Identify spatial domain☆90May 29, 2025Updated 9 months ago
- ☆30Jul 18, 2025Updated 8 months ago
- Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology☆129May 29, 2025Updated 9 months ago
- ☆83May 13, 2025Updated 10 months ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆59Oct 12, 2021Updated 4 years ago
- ☆16Oct 1, 2023Updated 2 years ago
- mclSTExp: Multimodal Contrastive Learning for Spatial Gene Expression Prediction Using Histology Images☆40Jan 10, 2025Updated last year
- Super-resolved spatial transcriptomics by deep data fusion☆73Mar 30, 2023Updated 2 years ago
- Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.☆696Oct 27, 2023Updated 2 years ago
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph con…☆257Feb 9, 2026Updated last month
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Dec 17, 2020Updated 5 years ago
- Leveraging Digital Pathology Foundation Models to characterize the tumor microenvironment (TME)☆27Nov 24, 2025Updated 3 months ago
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆182Nov 1, 2021Updated 4 years ago
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆164Jan 29, 2024Updated 2 years ago
- Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA☆64Mar 18, 2024Updated 2 years ago
- Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)☆422Updated this week
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆40Aug 11, 2022Updated 3 years ago
- DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and sin…☆66Updated this week
- Open source tools for computational pathology - Nature BME☆1,628Apr 14, 2025Updated 11 months ago
- ☆22Oct 30, 2022Updated 3 years ago
- ☆14May 28, 2025Updated 9 months ago