Supporting Data for "Improving DIBH-PBS Treatment for NSCLC: Reducing Delivery Time with Advanced Spot Reduction Techniques"

Supporting Materials for Improving DIBH-PBS Treatment for NSCLC: Reducing Delivery Time with Advanced Spot Reduction Techniques.This includes the raw data (patient by patient) and the Python files used for plotting.

Institutions

Paul Scherrer Institute (CH)
UNSW Sydney (AU)
ETH Zurich (CH)
University Hospital of Zurich (CH)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2025-04-01
DOI: https://doi.org/10.5281/zenodo.15120885
Primary Topic: Lung Cancer Treatments and Mutations
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Supporting Data for "Improving DIBH-PBS Treatment for NSCLC: Reducing Delivery Time with Advanced Spot Reduction Techniques"

Apr 1, 2025

Zenodo (CERN European Organization for Nuclear Research)

Lung Cancer Treatments and Mutations

article

Supporting Data for "Improving DIBH-PBS Treatment for NSCLC: Reducing Delivery Time with Advanced Spot Reduction Techniques"

April 1, 2025article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Paul Scherrer Institute (CH), UNSW Sydney (AU), ETH Zurich (CH), University Hospital of Zurich (CH)

Openalex Percentile: Top 37%

Lung Cancer Treatments and Mutations

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.