Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions

DL-VIBE enhances image quality during MR-guided thermal ablation while improving efficiency through reduced processing and acquisition times.

Authors

Institutions

Publication Details

Journal
Cancer Imaging
Published
2025-04-02
DOI
https://doi.org/10.1186/s40644-025-00869-x
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions

Konstantin Nikolaou, Dominik M. Nickel, Rüdiger Hoffmann, Jens Kübler et al.
1 links
Cancer Imaging
Hepatocellular Carcinoma Treatment and Prognosis
article

Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions

Konstantin Nikolaou, Dominik M. Nickel, Rüdiger Hoffmann, Jens Kübler, Moritz T. Winkelmann, Saif Afat, Sebastian Gassenmaier, Antonia Ashkar
article en

Abstract

DL-VIBE enhances image quality during MR-guided thermal ablation while improving efficiency through reduced processing and acquisition times.

Cancer ImagingVol. 25(1)
University Children's Hospital Tübingen (DE), Siemens Healthineers (Germany) (DE), University of Tübingen (DE)
Openalex Percentile: Top 91%
Hepatocellular Carcinoma Treatment and Prognosis
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.