Andreas Kudak

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Systemic Sclerosis

Magnetic Resonance

Contrast Enhanced

Top Venues

Radiology. Artificial intelligence

This page only lists publications with an associated author ORCID identifier.

Publications

Patrick Salome, Francesco Sforazzini, Gianluca Grugnara, Andreas Kudak, Matthias Dostal, Christel Herold-Mende, Sabine Heiland, Jürgen Debus, Amir Abdollahi, Maximilian Knoll
MR Intensity Normalization Methods Impact Sequence Specific Radiomics Prognostic Model Performance in Primary and Recurrent High-Grade Glioma. Cancers 15 (3) (2023)
Patrick Salome, Francesco Sforazzini, Gianluca Grugnara, Andreas Kudak, Matthias Dostal, Christel Herold-Mende, Sabine Heiland, Jürgen Debus, Amir Abdollahi, Maximilian Knoll
MR-Class: A Python Tool for Brain MR Image Classification Utilizing One-vs-All DCNNs to Deal with the Open-Set Recognition Problem. Cancers 15 (6) (2023)
Patrick Salome, Francesco Sforazzini, Gianluca Grugnara, Andreas Kudak, Matthias Dostal, Christel Herold-Mende, Sabine Heiland, Jürgen Debus, Amir Abdollahi, Maximilian Knoll
MR Intensity Normalization Methods Impact Sequence Specific Radiomics Prognostic Model Performance in Primary and Recurrent High-Grade Glioma. Cancers 15 (3) (2023)
Katharina Seidensaal, Matthias Dostal, Andreas Kudak, Cornelia Jaekel, Eva Meixner, Jakob Liermann, Fabian Weykamp, Philipp Hoegen, Gunhild Mechtersheimer, Franziska Willis, Martin Schneider, Jürgen Debus
Preoperative Dose-Escalated Intensity-Modulated Radiotherapy (IMRT) and Intraoperative Radiation Therapy (IORT) in Patients with Retroperitoneal Soft-Tissue Sarcoma: Final Results of a Clinical Phase I/II Trial. Cancers 15 (10) (2023)
Patrick Salome, Francesco Sforazzini, Gianluca Grugnara, Andreas Kudak, Matthias Dostal, Christel Herold-Mende, Sabine Heiland, Jürgen Debus, Amir Abdollahi, Maximilian Knoll
MR-Class: A Python Tool for Brain MR Image Classification Utilizing One-vs-All DCNNs to Deal with the Open-Set Recognition Problem. Cancers 15 (6) (2023)
Francesco Sforazzini, Patrick Salome, Mahmoud Moustafa, Cheng Zhou, Christian Schwager, Katrin Rein, Nina Bougatf, Andreas Kudak, Henry C Woodruff, Ludwig J Dubois, Philippe Lambin, Jürgen Debus, Amir Abdollahi, Maximilian Knoll
Deep Learning-based Automatic Lung Segmentation on Multiresolution CT Scans from Healthy and Fibrotic Lungs in Mice. Radiology. Artificial intelligence 4 (2) (2022)