Darvin Yi

According to our database, Darvin Yi authored at least 20 papers between 2016 and 2022.

Collaborative distances:

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

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

AutoPtosis.

Abdullah Aleem, Manoj Prabhakar Nallabothula, Pete Setabutr, Joelle A. Hallak, Darvin Yi

CoRR, 2021

I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications.

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

CoRR, 2021

CvS: Classification via Segmentation For Small Datasets.

Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications.

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

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

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

Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings.

Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 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

DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences.

Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich

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

2018

Distributed deep learning networks among institutions for medical imaging.

Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer

J. Am. Medical Informatics Assoc., 2018

CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss.

Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, Daniel L. Rubin

CoRR, 2018

2017

Institutionally Distributed Deep Learning Networks.

Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer

CoRR, 2017

Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors.

Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson K. Lam, Xuerong Xiao, Daniel L. Rubin

CoRR, 2017

The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI.

Zhao Chen, Darvin Yi

CoRR, 2017

Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.

Zeshan Hussain, Francisco Gimenez, Darvin Yi, Daniel L. Rubin

Proceedings of the AMIA 2017, 2017

2016

3-D Convolutional Neural Networks for Glioblastoma Segmentation.

Darvin Yi, Mu Zhou, Zhao Chen, Olivier Gevaert

CoRR, 2016