Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning. - Partoo Vafaeikia; Matthias W. Wagner; Uri Tabori; Birgit Ertl-Wagner; Farzad Khalvati (CoRR, 2021)

Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation. - Justin Lo; Saiee Nithiyanantham; Jillian Cardinell; Dylan Young; Sherwin Cho; Abirami Kirubarajan; Matthias W. Wagner; Roxana Azma; Steven Miller; Mike Seed; Birgit Ertl-Wagner; Dafna Sussman (Sensors, 2021)

Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning. - Partoo Vafaeikia; Matthias W. Wagner; Cynthia Hawkins; Uri Tabori; Birgit Ertl-Wagner; Farzad Khalvati (EMBC, 2022)

Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible. - Ernest Namdar; Matthias W. Wagner; Birgit Ertl-Wagner; Farzad Khalvati (CoRR, 2022)

Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. - Khashayar Namdar; Matthias W. Wagner; Kareem Kudus; Cynthia Hawkins; Uri Tabori; Birgit Ertl-Wagner; Farzad Khalvati (CoRR, 2022)

A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images. - Jay J. Yoo; Khashayar Namdar; Matthias W. Wagner; Liana Nobre; Uri Tabori; Cynthia Hawkins; Birgit B. Ertl-Wagner; Farzad Khalvati (CoRR, 2022)

Automatic Artifact Detection Algorithm in Fetal MRI. - Adam Lim; Justin Lo; Matthias W. Wagner; Birgit Ertl-Wagner; Dafna Sussman (Frontiers Artif. Intell., 2022)

Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI. - Justin Lo; Adam Lim; Matthias W. Wagner; Birgit Ertl-Wagner; Dafna Sussman (Frontiers Artif. Intell., 2022)

Motion artifact correction in fetal MRI based on a Generative Adversarial network method. - Adam Lim; Justin Lo; Matthias W. Wagner; Birgit Ertl-Wagner; Dafna Sussman (Biomed. Signal Process. Control., 2023)

Improving Interpretability of Radiology Report-based Pediatric Brain Tumor Pathology Classification and Key-phrases Extraction Using Large Language Models. - Chen Zhao; Kareem Kudus; Sara Ketabi; Khashayar Namdar; Matthias W. Wagner; Birgit B. Ertl-Wagner; Farzad Khalvati (BHI, 2024)

Anomaly Detection in Pediatric and Adults Brain MRI with Generative Model. - Chaojun Chen; Khashayar Namdar; Matthias W. Wagner; Birgit B. Ertl-Wagner; Farzad Khalvati (EMBC, 2024)

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks. - Khashayar Namdar; Matthias W. Wagner; Cynthia Hawkins; Uri Tabori; Birgit B. Ertl-Wagner; Farzad Khalvati (CoRR, 2024)

Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis. - Sara Ketabi; Matthias W. Wagner; Cynthia Hawkins; Uri Tabori; Birgit Betina Ertl-Wagner; Farzad Khalvati (CoRR, 2024)

Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks. - Meng Zhou; Matthias W. Wagner; Uri Tabori; Cynthia Hawkins; Birgit B. Ertl-Wagner; Farzad Khalvati (Comput. Biol. Medicine, 2025)