Darvin Yi - RankMe

31 papers A 1C 1Misc 1Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images. CoRR George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Ghasem Yazdanpanah, Chad A. Purnell, Pete Setabutr, Ann Q. Tran, Darvin Yi, Sathya N. Ravi
2025	J	`jnl`	Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images. Trans. Mach. Learn. Res. George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Pete Setabutr, Chad A. Purnell, Ann Q. Tran, Darvin Yi, Sathya N. Ravi
2025	J	`jnl`	UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI. CoRR Darvin Yi, Teng Liu, Mattie Terzolo, Lance Hasson, Ayan Sinha, Pablo Mendes, Andrew Rabinovich
2024	—	`conf`	A Physiological Variability Inspired Spatial Regularization for Joint Rigid-Deformable Abdominal MR Image Registration. ISBI Isabella Poles, Eleonora D'Arnese, Darvin Yi, Marco D. Santambrogio
2024	J	`jnl`	Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications. CoRR George R. Nahass, Emma Koehler, Nicholas Tomaras, Danny Lopez, Madison Cheung, Alexander Palacios, Jeffery Peterson, Sasha Hubschman, Kelsey Green, Chad A. Purnell, Pete Setabutr, Ann Q. Tran, Darvin Yi
2024	—	`conf`	Repurposing the Image Generative Potential: Exploiting GANs to Grade Diabetic Retinopathy. CVPR Workshops Isabella Poles, Eleonora D'Arnese, Luca G. Cellamare, Marco D. Santambrogio, Darvin Yi
2024	J	`jnl`	State-of-the-Art Periorbital Distance Prediction and Disease Classification Using Periorbital Features. CoRR George R. Nahass, Ghasem Yazdanpanah, Madison Cheung, Alex Palacios, Jeffery Peterson, Kevin Heinze, Sasha Hubschman, Chad A. Purnell, Pete Setabutr, Ann Q. Tran, Darvin Yi
2024	J	`jnl`	Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review. CoRR Mahtab Faraji, Homa Rashidisabet, George R. Nahass, RV Paul Chan, Thasarat S. Vajaranant, Darvin Yi
2022	J	`jnl`	2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. Frontiers Neuroinformatics 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
2021	J	`jnl`	AutoPtosis. CoRR Abdullah Aleem, Manoj Prabhakar Nallabothula, Pete Setabutr, Joelle A. Hallak, Darvin Yi
2021	A	`conf`	CvS: Classification via Segmentation For Small Datasets. BMVC Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
2021	J	`jnl`	CvS: Classification via Segmentation For Small Datasets. CoRR Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
2021	J	`jnl`	Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. npj Digit. Medicine 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
2021	J	`jnl`	I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. CoRR 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
2021	—	`conf`	I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. HEALTHINF 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
2020	—	`conf`	Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. MIDL Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
2020	J	`jnl`	Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. CoRR Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
2020	J	`jnl`	Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization. CoRR Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
2020	C	`conf`	Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. ICMLA Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2020	J	`jnl`	Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. CoRR Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2019	J	`jnl`	Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI. CoRR Endre Grøvik, Darvin Yi, Michael Iv, Elisabeth Tong, Daniel L. Rubin, Greg Zaharchuk
2019	J	`jnl`	DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. CoRR Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich
2019	J	`jnl`	Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study. CoRR 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
2019	J	`jnl`	MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation. CoRR 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
2018	J	`jnl`	CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss. CoRR Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, Daniel L. Rubin
2018	J	`jnl`	Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2017	Misc	`conf`	Differential Data Augmentation Techniques for Medical Imaging Classification Tasks. AMIA Zeshan Hussain, Francisco Gimenez, Darvin Yi, Daniel L. Rubin
2017	J	`jnl`	Institutionally Distributed Deep Learning Networks. CoRR Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2017	J	`jnl`	Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. CoRR Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson K. Lam, Xuerong Xiao, Daniel L. Rubin
2017	J	`jnl`	The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI. CoRR Zhao Chen, Darvin Yi
2016	J	`jnl`	3-D Convolutional Neural Networks for Glioblastoma Segmentation. CoRR Darvin Yi, Mu Zhou, Zhao Chen, Olivier Gevaert