AI-Based Computational H&E Staining Enables Spatial Transcriptomic Analysis in Classic Hodgkin Lymphoma

Michael E. Kallen; Laura M. Wake; Rima Koka; Elba Vidal; Raymond Kozikowski; Yair Rivenson; Serge Alexanian

doi:10.1177/10668969241268410

AI-Based Computational H&E Staining Enables Spatial Transcriptomic Analysis in Classic Hodgkin Lymphoma

Michael E. Kallen
, Laura M. Wake
, Rima Koka
, Elba Vidal
, Raymond Kozikowski
, Yair Rivenson
, Serge Alexanian

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	666-669
Number of pages	4
Journal	International Journal of Surgical Pathology
Volume	33
Issue number	3
DOIs	https://doi.org/10.1177/10668969241268410
State	Published - 1 May 2025
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

artificial intelligence
computational stains
lymphoma
machine learning
neural network

ASJC Scopus subject areas

Surgery
Anatomy
Pathology and Forensic Medicine

Access to Document

10.1177/10668969241268410

Cite this

@article{03c06947ce99425aa22090b21d611a94,

title = "AI-Based Computational H\&E Staining Enables Spatial Transcriptomic Analysis in Classic Hodgkin Lymphoma",

keywords = "artificial intelligence, computational stains, lymphoma, machine learning, neural network",

author = "Kallen, \{Michael E.\} and Wake, \{Laura M.\} and Rima Koka and Elba Vidal and Raymond Kozikowski and Yair Rivenson and Serge Alexanian",

year = "2025",

month = may,

day = "1",

doi = "10.1177/10668969241268410",

language = "English",

volume = "33",

pages = "666--669",

journal = "International Journal of Surgical Pathology",

issn = "1066-8969",

publisher = "SAGE Publications Inc.",

number = "3",

}

TY - JOUR

T1 - AI-Based Computational H&E Staining Enables Spatial Transcriptomic Analysis in Classic Hodgkin Lymphoma

AU - Kallen, Michael E.

AU - Wake, Laura M.

AU - Koka, Rima

AU - Vidal, Elba

AU - Kozikowski, Raymond

AU - Rivenson, Yair

AU - Alexanian, Serge

PY - 2025/5/1

Y1 - 2025/5/1

KW - artificial intelligence

KW - computational stains

KW - lymphoma

KW - machine learning

KW - neural network

UR - https://www.scopus.com/pages/publications/85201720350

U2 - 10.1177/10668969241268410

DO - 10.1177/10668969241268410

M3 - Article

C2 - 39165198

AN - SCOPUS:85201720350

SN - 1066-8969

VL - 33

SP - 666

EP - 669

JO - International Journal of Surgical Pathology

JF - International Journal of Surgical Pathology

IS - 3

ER -

AI-Based Computational H&E Staining Enables Spatial Transcriptomic Analysis in Classic Hodgkin Lymphoma

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this