Sep 21, 2021 · In this study, we propose a framework for classification and visualization of surgical mass spectrometry data using Graph Transformer model.

Sep 1, 2021 · In this paper, The authors propose use of Graph Transformer networks to empower the interpretability of breast surgical margins assessment using ...

In this study, we propose a framework for classification and visualization of surgical mass spectrometry data using Graph Transformer model

This work designs an autoencoder model using a reconstruction pretext task as a self-supervised pretraining step without considering tissue type, ...

In this study, we propose a framework for classification and visualization of surgical mass spectrometry data using Graph Transformer model to empower the ...

Akbarifar, F., et al.: Graph-based analysis of mass spectrometry data for tissue characterization with application in basal cell carcinoma surgery.

Enhancing the accuracy of surgical wound excision following burns trauma via application of Rapid Evaporative IonisationMass Spectrometry (REIMS). A. Yau, ...

In this study, we propose a framework for classification and visualization of surgical mass spectrometry data using Graph Transformer model to empower the ...

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Improved resection margins in surgical oncology using intraoperative ... Graph transformers for characterization and interpretation of surgical margins.