MRI Imaging and Machine Learning Based Radiomics for Detection of Mixed HCC and CCA Tumors

Histopathological analysis, complemented by imaging as indicated, remains essential for accurate detection, diagnosis, and treatment of liver cancers.

Authors

Institutions

Publication Details

Journal
Annals of Hepatology
Published
2025-10-01
DOI
https://doi.org/10.1016/j.aohep.2025.102110
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MRI Imaging and Machine Learning Based Radiomics for Detection of Mixed HCC and CCA Tumors

Christel Weiß, Juan Alberto Garay Mora, Yuquan Qian, Germán Alberto Castrillón et al.
Annals of Hepatology
Radiomics and Machine Learning in Medical Imaging
article

MRI Imaging and Machine Learning Based Radiomics for Detection of Mixed HCC and CCA Tumors

Christel Weiß, Juan Alberto Garay Mora, Yuquan Qian, Germán Alberto Castrillón, Matthias Ebert, Michael Haimerl, A. Schreyer, Xiangde Min, Matthias F. Froelich, Philipp Wiggermann, I. Rodrı́guez, Muzaffer Reha Ümütlü, Madeleine Vacha, Ying‐Shi Sun, Jürgen Hesser, Abhinay Vellala, Qiao-Yuan Lu, Zhiqiang Guo, Andreas Teufel, Stefan O. Schönberg, Carlos Romero-Alaffita
article en

Abstract

Histopathological analysis, complemented by imaging as indicated, remains essential for accurate detection, diagnosis, and treatment of liver cancers.

Annals of Hepatology
Autonomous University of San Luis Potosí (MX), Peking University (CN), Heidelberg University (DE), University Hospital Heidelberg (DE), LMU Klinikum (DE), University Hospital Regensburg (DE), Universidad de Antioquia (CO), Peking University Cancer Hospital (CN), Klinikum Braunschweig (DE), Shanxi Fenyang Hospital (CN), University Medical Centre Mannheim (DE), Universitätsklinikum Brandenburg an der Havel (DE), Tongji Hospital (CN), Huazhong University of Science and Technology (CN), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 54%
Radiomics and Machine Learning in Medical Imaging
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.