output
20202025
most citedCausal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma

6 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.CV2025★ 1 cited

Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023

M. A. D. Buser, D. C. Simons, M. Fitski +27

Surgery plays an important role within the treatment for neuroblastoma, a common pediatric cancer. This requires careful planning, often via magnetic resonance imaging (MRI)-based…

stat.ME2025

Discrimination performance in illness-death models with interval-censored disease data

Marta Spreafico, Anja J. Rueten-Budde, Hein Putter +1

In clinical studies, the illness-death model is often used to describe disease progression. A subject starts disease-free, may develop the disease and then die, or die directly. In…

stat.AP2023★ 6 cited

Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma

Marta Spreafico, Francesca Ieva, Marta Fiocco

This study aims to analyse the effects of reducing Received Dose Intensity (RDI) in chemotherapy treatment for osteosarcoma patients on their survival by using a novel approach. In…

stat.AP2021

Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models

Marta Spreafico, Francesca Ieva, Marta Fiocco

Due to the presence of multiple types of adverse events with different levels of severity, the analysis of longitudinal toxicity data is a difficult task in cancer studies. In this…

physics.med-ph2020★ 3 cited

Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy

M. Virgolin, Z. Wang, B. V. Balgobind +11

To study radiotherapy-related adverse effects, detailed dose information (3D distribution) is needed for accurate dose-effect modeling. For childhood cancer survivors who underwent…