SPADE: Spatial Transcriptomics and Pathology Alignment Using a Mixture of Data Experts for an Expressive Latent Space
Fuente:
arXiv
Saved in:
| Main Authors: | Redekop, Ekaterina, Pleasure, Mara, Wang, Zichen, Flores, Kimberly, Sisk, Anthony, Speier, William, Arnold, Corey W. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data
by: Redekop, Ekaterina, et al.
Published: (2025)
by: Redekop, Ekaterina, et al.
Published: (2025)
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
by: Redekop, Ekaterina, et al.
Published: (2024)
by: Redekop, Ekaterina, et al.
Published: (2024)
Computational Mapping of Reactive Stroma in Prostate Cancer Yields Interpretable, Prognostic Biomarkers
by: Pleasure, Mara, et al.
Published: (2026)
by: Pleasure, Mara, et al.
Published: (2026)
Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records
by: Redekop, Ekaterina, et al.
Published: (2025)
by: Redekop, Ekaterina, et al.
Published: (2025)
CytoFM: The first cytology foundation model
by: Ivezić, Vedrana, et al.
Published: (2025)
by: Ivezić, Vedrana, et al.
Published: (2025)
Mentality: A Mamba-based Approach towards Foundation Models for EEG
by: Panchavati, Saarang, et al.
Published: (2025)
by: Panchavati, Saarang, et al.
Published: (2025)
Laya: A LeJEPA Approach to EEG via Latent Prediction over Reconstruction
by: Panchavati, Saarang, et al.
Published: (2026)
by: Panchavati, Saarang, et al.
Published: (2026)
Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging
by: Ivezić, Vedrana, et al.
Published: (2026)
by: Ivezić, Vedrana, et al.
Published: (2026)
gnSPADE: Incorporating Gene Network Structures Enhances Reference‐Free Deconvolution in Spatial Transcriptomics
by: Aoqi Xie, et al.
Published: (2026)
by: Aoqi Xie, et al.
Published: (2026)
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
by: Zhang, Haoyue, et al.
Published: (2023)
by: Zhang, Haoyue, et al.
Published: (2023)
Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject Training
by: Parthasarathy, Nithin, et al.
Published: (2024)
by: Parthasarathy, Nithin, et al.
Published: (2024)
High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training
by: Parthasarathy, Nithin, et al.
Published: (2024)
by: Parthasarathy, Nithin, et al.
Published: (2024)
Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology
by: Redekop, Ekaterina, et al.
Published: (2026)
by: Redekop, Ekaterina, et al.
Published: (2026)
DSA-NRP: No-Reflow Prediction from Angiographic Perfusion Dynamics in Stroke EVT
by: Athreya, Shreeram, et al.
Published: (2025)
by: Athreya, Shreeram, et al.
Published: (2025)
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)
by: Sottosanti, Andrea, et al.
Published: (2025)
Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
by: Athreya, Shreeram, et al.
Published: (2023)
by: Athreya, Shreeram, et al.
Published: (2023)
US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound
by: Radhachandran, Ashwath, et al.
Published: (2026)
by: Radhachandran, Ashwath, et al.
Published: (2026)
Mixture of Latent Experts Using Tensor Products
by: Su, Zhan, et al.
Published: (2024)
by: Su, Zhan, et al.
Published: (2024)
FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics
by: Jeong, Taejin, et al.
Published: (2026)
by: Jeong, Taejin, et al.
Published: (2026)
Must: Maximizing Latent Capacity of Spatial Transcriptomics Data
by: Zang, Zelin, et al.
Published: (2024)
by: Zang, Zelin, et al.
Published: (2024)
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
by: Wang, Mingze, et al.
Published: (2025)
by: Wang, Mingze, et al.
Published: (2025)
Style Mixture of Experts for Expressive Text-To-Speech Synthesis
by: Jawaid, Ahad, et al.
Published: (2024)
by: Jawaid, Ahad, et al.
Published: (2024)
BlackMamba: Mixture of Experts for State-Space Models
by: Anthony, Quentin, et al.
Published: (2024)
by: Anthony, Quentin, et al.
Published: (2024)
Towards Spatial Transcriptomics-driven Pathology Foundation Models
by: Hemker, Konstantin, et al.
Published: (2026)
by: Hemker, Konstantin, et al.
Published: (2026)
Latent Gene Diffusion for Spatial Transcriptomics Completion
by: Cárdenas, Paula, et al.
Published: (2025)
by: Cárdenas, Paula, et al.
Published: (2025)
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
by: Wu, Zichen, et al.
Published: (2024)
by: Wu, Zichen, et al.
Published: (2024)
SPADE: Faster Drug Discovery by Learning from Sparse Data
by: Nandakumar, Rahul, et al.
Published: (2026)
by: Nandakumar, Rahul, et al.
Published: (2026)
Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
by: Fang, Zihan, et al.
Published: (2026)
by: Fang, Zihan, et al.
Published: (2026)
On the Spatial Structure of Mixture-of-Experts in Transformers
by: Bershatsky, Daniel, et al.
Published: (2025)
by: Bershatsky, Daniel, et al.
Published: (2025)
Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
by: Zhang, Yuming, et al.
Published: (2026)
by: Zhang, Yuming, et al.
Published: (2026)
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)
by: Ghaffari, Amirhossein, et al.
Published: (2026)
SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines
by: Shankar, Shreya, et al.
Published: (2024)
by: Shankar, Shreya, et al.
Published: (2024)
GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics
by: Shiku, Kaito, et al.
Published: (2026)
by: Shiku, Kaito, et al.
Published: (2026)
Controllable Latent Space Augmentation for Digital Pathology
by: Boutaj, Sofiène, et al.
Published: (2025)
by: Boutaj, Sofiène, et al.
Published: (2025)
MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models
by: Lee, Minsoo, et al.
Published: (2026)
by: Lee, Minsoo, et al.
Published: (2026)
Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic Encoder
by: Nishimura, Kazuya, et al.
Published: (2025)
by: Nishimura, Kazuya, et al.
Published: (2025)
Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
by: Nishimura, Kazuya, et al.
Published: (2025)
by: Nishimura, Kazuya, et al.
Published: (2025)
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
by: Liu, Zhili, et al.
Published: (2024)
by: Liu, Zhili, et al.
Published: (2024)
$MV_{Hybrid}$: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models
by: Cho, Won June, et al.
Published: (2025)
by: Cho, Won June, et al.
Published: (2025)
Unraveling the Localized Latents: Learning Stratified Manifold Structures in LLM Embedding Space with Sparse Mixture-of-Experts
by: Li, Xin, et al.
Published: (2025)
by: Li, Xin, et al.
Published: (2025)
Similar Items
-
Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data
by: Redekop, Ekaterina, et al.
Published: (2025) -
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
by: Redekop, Ekaterina, et al.
Published: (2024) -
Computational Mapping of Reactive Stroma in Prostate Cancer Yields Interpretable, Prognostic Biomarkers
by: Pleasure, Mara, et al.
Published: (2026) -
Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records
by: Redekop, Ekaterina, et al.
Published: (2025) -
CytoFM: The first cytology foundation model
by: Ivezić, Vedrana, et al.
Published: (2025)