Elisabeth Tong

According to our database, Elisabeth Tong authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging.

Juyoung Bae, Elizabeth Tong, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Beyond the Hype: Assessing the Performance, Trustworthiness, and Clinical Suitability of GPT3.5.

Salmonn Talebi, Elizabeth Tong, Mohammad R. K. Mofrad

CoRR, 2023

2022

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, Endre Grøvik

Frontiers Neuroinformatics, August, 2022

2021

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

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

Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization.

Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin

CoRR, 2020

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

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

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

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