Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition

Lucas Basler, Hubert S. Gabryś, Sabrina A. Hogan, +10

Clinical Cancer Research

FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients

Matea Pavic, Marta Bogowicz, Johannes Kraft, +11

EJNMMI Research

Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study

Natalia Saltybaeva, Stephanie Tanadini‐Lang, Diem Vuong, +6

Physics and Imaging in Radiation Oncology

Interchangeability of radiomic features between [18F]‐<scp>FDG PET</scp>/<scp>CT</scp> and [18F]‐<scp>FDG PET</scp>/<scp>MR</scp>

Diem Vuong, Stephanie Tanadini‐Lang, Martin W. Huellner, +6

Medical Physics

Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types

S. Denzler, Diem Vuong, Marta Bogowicz, +12

British Journal of Radiology

Radiomics Feature Activation Maps as a New Tool for Signature Interpretability

Diem Vuong, Stephanie Tanadini‐Lang, Ze Wu, +9

Frontiers in Oncology

Long-term outcomes of operable stage III NSCLC in the pre-immunotherapy era: results from a pooled analysis of the SAKK 16/96, SAKK 16/00, SAKK 16/01, and SAKK 16/08 trials

David König, Sämi Schär, Diem Vuong, +19

ESMO Open

Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients

Diem Vuong, Marta Bogowicz, S. Denzler, +12

Medical Physics

Radiomic Analysis to Predict Outcome in Recurrent Glioblastoma Based on Multi-Center MR Imaging From the Prospective DIRECTOR Trial

Alex Vils, Marta Bogowicz, Stephanie Tanadini‐Lang, +11

Frontiers in Oncology

Dosimetric and geometric end-to-end accuracy of a magnetic resonance guided linear accelerator

L. S. Stark, Nicolaus Andratschke, Michael Baumgartl, +13

Physics and Imaging in Radiation Oncology