Matthias W. Wagner

16 papers Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks. Comput. Biol. Medicine Meng Zhou, Matthias W. Wagner, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati
2025	J	`jnl`	Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines. BMC Medical Imaging Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati
2024	—	`conf`	Anomaly Detection in Pediatric and Adults Brain MRI with Generative Model. EMBC Chaojun Chen, Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati
2024	—	`conf`	Improving Interpretability of Radiology Report-based Pediatric Brain Tumor Pathology Classification and Key-phrases Extraction Using Large Language Models. BHI Chen Zhao, Kareem Kudus, Sara Ketabi, Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati
2024	J	`jnl`	Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks. CoRR Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati
2024	J	`jnl`	Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis. CoRR Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit Betina Ertl-Wagner, Farzad Khalvati
2023	J	`jnl`	Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks. CoRR Meng Zhou, Matthias W. Wagner, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati
2023	J	`jnl`	Motion artifact correction in fetal MRI based on a Generative Adversarial network method. Biomed. Signal Process. Control. Adam Lim, Justin Lo, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman
2022	J	`jnl`	A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images. CoRR Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati
2022	J	`jnl`	Automatic Artifact Detection Algorithm in Fetal MRI. Frontiers Artif. Intell. Adam Lim, Justin Lo, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman
2022	J	`jnl`	Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI. Frontiers Artif. Intell. Justin Lo, Adam Lim, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman
2022	—	`conf`	Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning. EMBC Partoo Vafaeikia, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
2022	J	`jnl`	Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible. CoRR Ernest Namdar, Matthias W. Wagner, Birgit Ertl-Wagner, Farzad Khalvati
2022	J	`jnl`	Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. CoRR Khashayar Namdar, Matthias W. Wagner, Kareem Kudus, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
2021	J	`jnl`	Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation. Sensors 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
2021	J	`jnl`	Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning. CoRR Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati