23 citations · 26 across the 10 of their papers we have counts for
4 papers · 1 filter
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton +2
Domain adaptive semantic segmentation aims to generate accurate and dense predictions for an unlabeled target domain by leveraging a supervised model trained on a labeled source do…
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers
Saurav Sengupta, Donald E. Brown
Deep learning for histopathology has been successfully used for disease classification, image segmentation and more. However, combining image and text modalities using current stat…
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman +2
Two major causes of death in the United States and worldwide are stroke and myocardial infarction. The underlying cause of both is thrombi released from ruptured or eroded unstable…
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
Yash Sharma, Sana Syed, Donald E. Brown
In this work, we propose a mutual information (MI) based unsupervised domain adaptation (UDA) method for the cross-domain nuclei segmentation. Nuclei vary substantially in structur…