Evidence map›Paper›PMID 42122020›Full record

ArticleDiagnostics (Basel, Switzerland)2026

HER2 Score-Aware Virtual Immunohistochemistry via Non-Contrastive Multi-Task Translation.

Hyunsu Jeong, Chiho Yoon, Jaewoo Kim, Eunwoo Park, Hyunhee Kim, Somang Park, Hyeon Gyu Kim, Chan Kwon Jung

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hyunsu JeongGraduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.ORCID 0000-0002-7446-0478
Chiho YoonDepartment of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.ORCID 0000-0003-3971-3115
Jaewoo KimDepartment of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
Eunwoo ParkDepartment of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.ORCID 0000-0001-7954-7911
Hyunhee KimDepartment of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
Somang ParkDepartment of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
Hyeon Gyu KimDepartment of VR Convergence Engineering, Duksung Women's University, Seoul 01369, Republic of Korea.
Chan Kwon JungDepartment of Hospital Pathology, Seoul St. Mary's Hospital, and Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0000-0001-6843-3708

Funding

Basic Medical Science Facilitation Program through the Catholic Medical Center of the Catholic University of Korea, funded by the Catholic Education Foundation N/ACommercialization Promotion Agency for R&D Outcomes (COMPA) 2710086164Korea Health Industry Development Institute (KHIDI) RS-2021-KH113146National Research Foundation of Korea (NRF) RS-2025-00558651the Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) RS-2019-II191906, Artificial Intelligence Graduate School Program(POSTECH)
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

HER2 scoreimage-to-image translationimmunohistochemistrymulti-task learningnon-contrastive learningSimSiamvirtual staining

Identifiers

PMID42122020
PMCPMC13163341

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.