MetaFusion: a high-confidence metacaller for filtering and prioritizing RNA-seq gene fusion candidates. - Michael Apostolides; Yue Jiang; Mia Husic; Robert Siddaway; Cynthia Hawkins; Andrei L. Turinsky; Michael Brudno; Arun K. Ramani (Bioinform., 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)

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)

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)