Cover Image

Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Yaxuan, Fan, Jianan, Chang, Hang, Cai, Weidong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation
by: Song, Yaxuan, et al.
Published: (2024)

RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
by: Song, Yaxuan, et al.
Published: (2026)

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

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

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images
by: Ganguly, Aniruddha, et al.
Published: (2024)

Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation
by: Fan, Jianan, et al.
Published: (2024)

GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
by: Wang, Mengbo, et al.
Published: (2025)

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

GuiDINO: Rethinking Vision Foundation Model in Medical Image Segmentation
by: Liang, Zhuonan, et al.
Published: (2026)

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

Cell as Point: One-Stage Framework for Efficient Cell Tracking
by: Song, Yaxuan, et al.
Published: (2024)

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

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

ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
by: Cao, Qinyi, et al.
Published: (2025)

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

Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data
by: Shandiz, Amin Honarmandi
Published: (2025)

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

Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI
by: Swift, Iain, et al.
Published: (2026)

Advanced Image Segmentation Techniques for Neural Activity Detection via C-fos Immediate Early Gene Expression
by: Cai, Peilin
Published: (2023)

Completing Spatial Transcriptomics Data for Gene Expression Prediction Benchmarking
by: Ruiz, Daniela, et al.
Published: (2025)

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

On the Theory of Conditional Feature Alignment for Unsupervised Domain-Adaptive Counting
by: Liang, Zhuonan, et al.
Published: (2025)

Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images
by: Hallemeesch, Max, et al.
Published: (2025)

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

AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation
by: Sheng, Mingyu, et al.
Published: (2024)

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

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

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

Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
by: Nishimura, Kazuya, et al.
Published: (2026)

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
by: Fan, Jianan, et al.
Published: (2024)

Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View
by: Sheng, Mingyu, et al.
Published: (2024)

GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
by: Wang, Wentao, et al.
Published: (2024)

GeMM-GAN: A Multimodal Generative Model Conditioned on Histopathology Images and Clinical Descriptions for Gene Expression Profile Generation
by: Panaccione, Francesca Pia, et al.
Published: (2026)

GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
by: Bao, Chong, et al.
Published: (2024)

Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation
by: Tang, Qingchen, et al.
Published: (2025)

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

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

Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction
by: Gustafsson, Fredrik K., et al.
Published: (2024)

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

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
by: Qu, Mingcheng, et al.
Published: (2025)