HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image
Analysis

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

23 June 2024

Guillaume Jaume

Cristina Almagro-Pérez

Sophia J. Wagner

Anurag J. Vaidya

Richard J. Chen

Drew F. K. Williamson

Papers citing "HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis"

15 / 15 papers shown

Title
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges Yuan Zhang Xinfeng Zhang Xiaoming Qi Xinyu Wu Feng Chen Guanyu Yang Huazhu Fu MedIm LM&MA AI4CE 15 0 0 16 May 2025
Cascade Detector Analysis and Application to Biomedical Microscopy Thomas L. Athey Shashata Sawmya Nir Shavit 33 0 0 30 Apr 2025
Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer Shi Pan Jianan Chen Maria Secrier 21 0 0 09 Apr 2025
Training state-of-the-art pathology foundation models with orders of magnitude less data Mikhail Karasikov J. Doorn Nicolas Kanzig Melis Erdal Cesur Hugo Mark Horlings Robert Berke Fei Tang Sebastian Otálora AI4CE 26 0 0 07 Apr 2025
PH2ST:ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction Yi Niu Jiashuai Liu Yingkang Zhan Jiangbo Shi Di Zhang ... Mireia Crispin-Ortuzar Mireia Crispin-Ortuzar Zeyu Gao Chen Li Zeyu Gao 34 0 0 21 Mar 2025
DELST: Dual Entailment Learning for Hyperbolic Image-Gene Pretraining in Spatial Transcriptomics Xulin Chen Junzhou Huang 34 0 0 02 Mar 2025
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images Sichen Zhu Yuchen Zhu Molei Tao Peng-Chao Qiu MedIm 31 0 0 28 Jan 2025
RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Wentao Huang Meilong Xu Xiaoling Hu Shahira Abousamra Aniruddha Ganguly ... Prateek Prasanna Tahsin M. Kurc Joel H. Saltz Michael L. Miller C. L. P. Chen 78 0 0 22 Nov 2024
Multistain Pretraining for Slide Representation Learning in Pathology Guillaume Jaume Anurag J. Vaidya Andrew Zhang Andrew H. Song Richard J. Chen S. Sahai Dandan Mo Emilio Madrigal L. Le Faisal Mahmood 31 11 0 05 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Eric Zimmermann Eugene Vorontsov Julian Viret Adam Casson Michal Zelechowski ... Razik Yousfi Thomas J. Fuchs Nicolò Fusi Siqi Liu Kristen Severson MedIm 31 29 0 01 Aug 2024
M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images Hongyi Wang Xiuju Du Jing Liu Shuyi Ouyang Yen-Wei Chen Lanfen Lin 35 4 0 19 Jan 2024
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 48 72 0 05 Oct 2022
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images N. Brancati A. Anniciello Pushpak Pati D. Riccio G. Scognamiglio ... A. Foncubierta G. Botti M. Gabrani Florinda Feroce Maria Frucci 45 122 0 08 Nov 2021
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 110 174 0 24 Mar 2020
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 289 36,320 0 08 Jun 2015