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Birgit Ertl-Wagner
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Publications
- 2025
[j10]Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati:
Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines. BMC Medical Imaging 25(1): 312 (2025)- 2024
[c3]Chen Zhao, Kareem Kudus, Sara Ketabi, Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati:
Improving Interpretability of Radiology Report-based Pediatric Brain Tumor Pathology Classification and Key-phrases Extraction Using Large Language Models. BHI 2024: 1-8
[c2]Chaojun Chen, Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati:
Anomaly Detection in Pediatric and Adults Brain MRI with Generative Model. EMBC 2024: 1-6
[i9]Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati:
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks. CoRR abs/2402.03547 (2024)- 2022
[i5]Khashayar Namdar, Matthias W. Wagner, Kareem Kudus, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati:
Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. CoRR abs/2210.07287 (2022)
[i4]Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati:
A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images. CoRR abs/2211.05269 (2022)

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