The Human Pathology Atlas for deciphering the prognostic features of human cancers

Authors

Adil Mardinoğlu (ORCID: https://orcid.org/0000-0002-4254-6090)
Hasan Türkez (ORCID: https://orcid.org/0000-0002-7046-8990)
Xiya Song (ORCID: https://orcid.org/0009-0001-3893-682X)
Kalle von Feilitzen (ORCID: https://orcid.org/0000-0002-0257-7554)
Hong Yang (ORCID: https://orcid.org/0009-0002-0414-2471)
Mathias Uhlén (ORCID: https://orcid.org/0000-0002-4858-8056)
Cheng Zhang (ORCID: https://orcid.org/0000-0002-3721-8586)
Meng Yuan (ORCID: https://orcid.org/0000-0002-9248-3294)
Mengnan Shi (ORCID: https://orcid.org/0000-0001-8643-5846)
Marcel Zwahlen (ORCID: https://orcid.org/0000-0002-6772-6346)
Xiangyü Li (ORCID: https://orcid.org/0000-0002-8301-9959)

Institutions

Science for Life Laboratory (SE)
Guangzhou Experimental Station (CN)
Atatürk University (TR)
KTH Royal Institute of Technology (SE)

Publication Details

Journal: EBioMedicine
Published: 2024-12-10
DOI: https://doi.org/10.1016/j.ebiom.2024.105495
Citations: 8
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 3.23

Funders

Knut och Alice Wallenbergs Stiftelse
China Scholarship Council
Science for Life Laboratory
Uppsala Multidisciplinary Center for Advanced Computational Science

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

The Human Pathology Atlas for deciphering the prognostic features of human cancers

Adil Mardinoğlu, Hasan Türkez, Xiya Song, Kalle von Feilitzen et al.

Dec 10, 2024

8 citations

EBioMedicine

Radiomics and Machine Learning in Medical Imaging

3.23

article

The Human Pathology Atlas for deciphering the prognostic features of human cancers

Adil Mardinoğlu, Hasan Türkez, Xiya Song, Kalle von Feilitzen, Hong Yang, Mathias Uhlén, Cheng Zhang, Meng Yuan, Mengnan Shi, Marcel Zwahlen, Xiangyü Li

December 10, 2024article en

8 citations

Abstract

No abstract available for this paper.

EBioMedicineVol. 111

Science for Life Laboratory (SE), Guangzhou Experimental Station (CN), Atatürk University (TR), KTH Royal Institute of Technology (SE)

Knut och Alice Wallenbergs Stiftelse, China Scholarship Council, Science for Life Laboratory, Uppsala Multidisciplinary Center for Advanced Computational Science

Good health and well-being

Openalex Percentile: Top 7%

Radiomics and Machine Learning in Medical Imaging

3.23

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.