Modeling influenza-like illnesses through composite compartmental models. - Nir Levy; Michael Iv; Elad Yom-Tov (CoRR, 2017)

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)

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)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM). - Zhongnan Fang; Andrew Johnston; Lina Cheuy; Hye Sun Na; Magdalini Paschali; Camila González; Bonnie A. Armstrong; Arogya Koirala; Derrick Laurel; Andrew Campion; Michael Iv; Akshay S. Chaudhari; et al. (CoRR, 2025)