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07/31/2023
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
Blood vessel segmentation in medical imaging is one of the essential ste...
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01/28/2023
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts
Recent success of large-scale Contrastive Language-Image Pre-training (C...
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09/29/2022
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
Vessel segmentation in medical images is one of the important tasks in t...
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02/17/2022
A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies
Gastric endoscopic screening is an effective way to decide appropriate g...
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02/13/2022
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
Although deep learning-based computer-aided diagnosis systems have recen...
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04/15/2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
Developing a robust algorithm to diagnose and quantify the severity of C...
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04/13/2021
Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation
As the segmentation labels are scarce, extensive researches have been co...
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03/12/2021
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
Under the global pandemic of COVID-19, building an automated framework t...
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03/12/2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus
Under the global COVID-19 crisis, developing robust diagnosis algorithm ...
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04/13/2020