Daniel Rubin

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

Jan 30, 2023
Rogier van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, Akshay Chaudhari

Figure 2 for Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

Figure 3 for Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

Figure 4 for Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

* Equal contributions. Keywords: Data Augmentations, Self-Supervised Learning, Medical Imaging, Chest X-rays, Siamese Representation Learning

Access Paper or Ask Questions

ATCON: Attention Consistency for Vision Models

Oct 18, 2022
Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel Rubin

Figure 2 for ATCON: Attention Consistency for Vision Models

Figure 3 for ATCON: Attention Consistency for Vision Models

Figure 4 for ATCON: Attention Consistency for Vision Models

* WACV 2023

Access Paper or Ask Questions

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

Aug 24, 2022
Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle Hallak, Theodore Leng, Daniel Rubin

Figure 1 for Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

Figure 2 for Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

Figure 3 for Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

Figure 4 for Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

Access Paper or Ask Questions

The Importance of Background Information for Out of Distribution Generalization

Jun 17, 2022
Jupinder Parmar, Khaled Saab, Brian Pogatchnik, Daniel Rubin, Christopher Ré

Figure 2 for The Importance of Background Information for Out of Distribution Generalization

Figure 3 for The Importance of Background Information for Out of Distribution Generalization

Figure 4 for The Importance of Background Information for Out of Distribution Generalization

* 6 pages, 2 figures

Access Paper or Ask Questions

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

May 17, 2022
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel Rubin, Lei Xing, Yuyin Zhou

Figure 2 for Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

Figure 3 for Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

Figure 4 for Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

* Code and trained models are available at: https://github.com/rui-yan/SSL-FL

Access Paper or Ask Questions

Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI

May 09, 2022
Yan-Ran, Wang, Liangqiong Qu, Natasha Diba Sheybani, Xiaolong Luo, Jiangshan Wang, Kristina Elizabeth Hawk, Ashok Joseph Theruvath, Sergios Gatidis, Xuerong Xiao, Allison Pribnow, Daniel Rubin, Heike E. Daldrup-Link

Figure 1 for Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI

Figure 2 for Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI

Figure 3 for Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI

Figure 4 for Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI

* This submission has been removed by arXiv administrators because the submitter did not have the right to assign the license at the time of submission

Access Paper or Ask Questions