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)

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)

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. - David Bouget; André Pedersen; Asgeir S. Jakola; Vasileios Kavouridis; Kyrre Eeg Emblem; Roelant S. Eijgelaar; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Marco Conti Nibali; et al. (CoRR, 2022)

Voxels Intersecting along Orthogonal Levels Attention U-Net (viola-Unet) to Segment Intracerebral Haemorrhage Using Computed Tomography Head Scans. - Qinghui Liu; Bradley J. MacIntosh; Till Schellhorn; Karoline Skogen; Kyrre Eeg Emblem; Atle Bjørnerud (CoRR, 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; et al. (Frontiers Neuroinformatics, 2022)

Voxels Intersecting Along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT. - Qinghui Liu; Bradley J. MacIntosh; Till Schellhorn; Karoline Skogen; Kyrre Eeg Emblem; Atle Bjørnerud (ISBI, 2023)

Reducing Annotator's Burden: Cross-Pseudo Supervision for Brain Tumor Segmentation. - Lidia Luque; Jon André Ottesen; Atle Bjørnerud; Kyrre Eeg Emblem; Bradley J. MacIntosh (NLDL, 2023)

Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction. - Qinghui Liu; Elies Fuster-García; Ivar Thokle Hovden; Donatas Sederevicius; Karoline Skogen; Bradley J. MacIntosh; Edvard Grødem; Till Schellhorn; Petter Brandal; Atle Bjørnerud; Kyrre Eeg Emblem (CoRR, 2023)

Interpreting deep learning models for glioma survival classification using visualization and textual explanations. - Michael Osadebey; Qinghui Liu; Elies Fuster-García; Kyrre Eeg Emblem (BMC Medical Informatics Decis. Mak., 2023)

Treatment-Aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction. - Qinghui Liu; Elies Fuster-García; Ivar Thokle Hovden; Bradley J. MacIntosh; Edvard Grødem; Petter Brandal; Carles Lopez-Mateu; Donatas Sederevicius; Karoline Skogen; Till Schellhorn; Atle Bjørnerud; Kyrre Eeg Emblem (IEEE Trans. Medical Imaging, 2025)