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M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics
  Prediction from Histopathology Images
v1v2 (latest)

M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images

19 January 2024
Hongyi Wang
Xiuju Du
Jing Liu
Shuyi Ouyang
Yen-Wei Chen
Lanfen Lin
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images"

4 / 4 papers shown
Teacher-Student Guided Inverse Modeling for Steel Final Hardness Estimation
Teacher-Student Guided Inverse Modeling for Steel Final Hardness Estimation
Ahmad Alsheikh
Andreas Fischer
146
1
0
06 Oct 2025
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology ImagesInternational Conference on Learning Representations (ICLR), 2025
Sichen Zhu
Yuchen Zhu
Molei Tao
Peng-Chao Qiu
MedIm
280
25
0
28 Jan 2025
What makes for good morphology representations for spatial omics?
What makes for good morphology representations for spatial omics?
Eduard Chelebian
C. Avenel
C. Wählby
185
1
0
30 Jul 2024
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image
  Analysis
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume
Paul Doucet
Andrew H. Song
Ming Y. Lu
Cristina Almagro-Pérez
...
Anurag J. Vaidya
Richard J. Chen
Drew F. K. Williamson
Ahrong Kim
Faisal Mahmood
454
120
0
23 Jun 2024
1
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