Darvin Yi

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 23

Top Topics

Top Venues

Frontiers Neuroinformatics

J. Am. Medical Informatics Assoc.

Publications

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
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. Frontiers Neuroinformatics 16 (2022)
Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak
I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. HEALTHINF (2021)
Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
CvS: Classification via Segmentation For Small Datasets. CoRR (2021)
Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak
I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. CoRR (2021)
Abdullah Aleem, Manoj Prabhakar Nallabothula, Pete Setabutr, Joelle A. Hallak, Darvin Yi
AutoPtosis. CoRR (2021)
Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
CvS: Classification via Segmentation For Small Datasets. BMVC (2021)
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
Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. npj Digit. Medicine 4 (2021)
Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. CoRR (2020)
Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. ICMLA (2020)
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. CoRR (2020)
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization. CoRR (2020)
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. MIDL (2020)
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
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation. CoRR (2019)
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
Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study. CoRR (2019)
Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. CoRR (2019)
Endre Grøvik, Darvin Yi, Michael Iv, Elisabeth Tong, Daniel L. Rubin, Greg Zaharchuk
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI. CoRR (2019)
Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. 25 (8) (2018)
Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, Daniel L. Rubin
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss. CoRR (2018)
Zeshan Hussain, Francisco Gimenez, Darvin Yi, Daniel L. Rubin
Differential Data Augmentation Techniques for Medical Imaging Classification Tasks. AMIA (2017)
Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson Lam, Xuerong Xiao, Daniel L. Rubin
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. CoRR (2017)
Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Institutionally Distributed Deep Learning Networks. CoRR (2017)
Zhao Chen, Darvin Yi
The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI. CoRR (2017)
Darvin Yi, Mu Zhou, Zhao Chen, Olivier Gevaert
3-D Convolutional Neural Networks for Glioblastoma Segmentation. CoRR (2016)