:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ruiz, Daniela, Cárdenas, Paula, Manrique, Leonardo, Vega, Daniela, Mejia, Gabriel M., Arbeláez, Pablo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.02980
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpaRED benchmark: Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion
by: Mejia, Gabriel, et al.
Published: (2024)

Latent Gene Diffusion for Spatial Transcriptomics Completion
by: Cárdenas, Paula, et al.
Published: (2025)

SEPAL: Spatial Gene Expression Prediction from Local Graphs
by: Mejia, Gabriel, et al.
Published: (2023)

Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction
by: Yang, Yan, et al.
Published: (2024)

HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
by: Byeon, Keunho, et al.
Published: (2026)

Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
by: Nishimura, Kazuya, et al.
Published: (2025)

Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics
by: Fang, Yaoyu, et al.
Published: (2026)

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
by: Qu, Mingcheng, et al.
Published: (2025)

Accurate Spatial Gene Expression Prediction by integrating Multi-resolution features
by: Chung, Youngmin, et al.
Published: (2024)

A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics
by: Gindra, Rushin H., et al.
Published: (2025)

MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
by: Nguyen, Hai Dang, et al.
Published: (2025)

GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction
by: Ouyang, Jiarui, et al.
Published: (2025)

GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images
by: Xiong, Ying, et al.
Published: (2024)

From Spots to Pixels: Dense Spatial Gene Expression Prediction from Histology Images
by: Zhang, Ruikun, et al.
Published: (2025)

Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning
by: Qian, Jiahe, et al.
Published: (2025)

INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields
by: Han, Bonian, et al.
Published: (2026)

PH2ST:ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction
by: Niu, Yi, et al.
Published: (2025)

Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning
by: Liu, Junzhuo, et al.
Published: (2025)

HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction
by: Zhang, Chen, et al.
Published: (2025)

Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
by: Shiku, Kaito, et al.
Published: (2025)

ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics
by: Lin, Yuxiang, et al.
Published: (2024)

HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology
by: Weng, Ziqiao, et al.
Published: (2025)

DELST: Dual Entailment Learning for Hyperbolic Image-Gene Pretraining in Spatial Transcriptomics
by: Chen, Xulin, et al.
Published: (2025)

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction
by: Wang, Changfan, et al.
Published: (2026)

Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
by: Song, Yaxuan, et al.
Published: (2025)

Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics
by: Rout, Biraaj, et al.
Published: (2024)

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation
by: Sadia, Rabeya Tus, et al.
Published: (2025)

Towards Automated Petrography
by: Chacón, Isai Daniel, et al.
Published: (2025)

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
by: Zhu, Junchao, et al.
Published: (2025)

DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction
by: Zhu, Junchao, et al.
Published: (2026)

MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation
by: Ayobi, Nicolás, et al.
Published: (2023)

PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
by: Majumder, Sejuti, et al.
Published: (2025)

AI-driven 3D Spatial Transcriptomics
by: Almagro-Pérez, Cristina, et al.
Published: (2025)

Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images
by: Fang, Donghai, et al.
Published: (2026)

ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics
by: Zhu, Junchao, et al.
Published: (2024)

Exploring Spatial-Temporal Dynamics in Event-based Facial Micro-Expression Analysis
by: Mastropasqua, Nicolas, et al.
Published: (2025)

SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
by: Forigua, Cristhian, et al.
Published: (2024)

HistoSPACE: Histology-Inspired Spatial Transcriptome Prediction And Characterization Engine
by: Kumar, Shivam, et al.
Published: (2024)

CARDIUM: Congenital Anomaly Recognition with Diagnostic Images and Unified Medical records
by: Vega, Daniela, et al.
Published: (2025)

Cross-Modal Knowledge Distillation from Spatial Transcriptomics to Histology
by: Hizmi, Arbel, et al.
Published: (2026)