Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI. - Endre Grøvik; Darvin Yi; Michael Iv; Elisabeth Tong; Daniel L. Rubin; Greg Zaharchuk (CoRR, 2019)

MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation. - Darvin Yi; Endre Grøvik; Michael Iv; Elisabeth Tong; Kyrre Eeg Emblem; Line Brennhaug Nilsen; Cathrine Saxhaug; Anna Latysheva; Kari Dolven Jacobsen; Åslaug Helland; Greg Zaharchuk; Daniel L. Rubin (CoRR, 2019)

Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study. - Endre Grøvik; Darvin Yi; Michael Iv; Elizabeth Tong; Line Brennhaug Nilsen; Anna Latysheva; Cathrine Saxhaug; Kari Dolven Jacobsen; Åslaug Helland; Kyrre Eeg Emblem; Daniel L. Rubin; Greg Zaharchuk (CoRR, 2019)

Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. - Darvin Yi; Endre Grøvik; Michael Iv; Elizabeth Tong; Greg Zaharchuk; Daniel L. Rubin (MIDL, 2020)

Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization. - Darvin Yi; Endre Grøvik; Michael Iv; Elizabeth Tong; Greg Zaharchuk; Daniel L. Rubin (CoRR, 2020)

Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model. - Guanhua Wang; Enhao Gong; Suchandrima Banerjee; Dann Martin; Elizabeth Tong; Jay Choi; Huijun Chen; Max Wintermark; John M. Pauly; Greg Zaharchuk (IEEE Trans. Medical Imaging, 2020)

Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. - Endre Grøvik; Darvin Yi; Michael Iv; Elizabeth Tong; Line Brennhaug Nilsen; Anna Latysheva; Cathrine Saxhaug; Kari Dolven Jacobsen; Åslaug Helland; Kyrre Eeg Emblem; Daniel L. Rubin; Greg Zaharchuk (npj Digit. Medicine, 2021)

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. - Jon André Ottesen; Darvin Yi; Elizabeth Tong; Michael Iv; Anna Latysheva; Cathrine Saxhaug; Kari Dolven Jacobsen; Åslaug Helland; Kyrre Eeg Emblem; Daniel L. Rubin; Atle Bjørnerud; Greg Zaharchuk; et al. (Frontiers Neuroinformatics, 2022)

Beyond the Hype: Assessing the Performance, Trustworthiness, and Clinical Suitability of GPT3.5. - Salmonn Talebi; Elizabeth Tong; Mohammad R. K. Mofrad (CoRR, 2023)

Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging. - Juyoung Bae; Elizabeth Tong; Hao Chen (MICCAI (2), 2024)

Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images. - Moo Hyun Son; Juyoung Bae; Elizabeth Tong; Hao Chen (MICCAI (10), 2024)

Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment. - Salmonn Talebi; Elizabeth Tong; Anna Li; Ghiam Yamin; Greg Zaharchuk; Mohammad R. K. Mofrad (BMC Medical Informatics Decis. Mak., 2024)