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2020 – today
- 2022
[i6]Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle A. Hallak, Theodore Leng, Daniel L. Rubin:
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. CoRR abs/2208.11563 (2022)- 2021
- [c4]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: 566-574 - [c3]Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi:
CvS: Classification via Segmentation For Small Datasets. BMVC 2021: 174 - [i5]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 abs/2104.02609 (2021) - [i4]Abdullah Aleem, Manoj Prabhakar Nallabothula, Pete Setabutr, Joelle A. Hallak, Darvin Yi:
AutoPtosis. CoRR abs/2106.03905 (2021) - [i3]Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi:
CvS: Classification via Segmentation For Small Datasets. CoRR abs/2111.00042 (2021) - 2020
- [c2]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: 677-684 - [i2]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 abs/2007.12672 (2020)
2010 – 2019
- 2019
- [c1]Nooshin Mojab, Vahid Noroozi, Philip S. Yu, Joelle A. Hallak:
Deep Multi-Task Learning for Interpretable Glaucoma Detection. IRI 2019: 167-174 - [i1]Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel L. Rubin:
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers. CoRR abs/1902.10700 (2019)
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