4 papers
Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
Cuong V. Nguyen, Hieu X. Nguyen, Dung D. Pham Minh +1
Automated ECG diagnosis has seen significant advancements with deep learning techniques, but real-world applications still face challenges when dealing with scanned paper ECGs. In…
Transfer Learning in ECG Diagnosis: Is It Effective?
Cuong V. Nguyen, Cuong D. Do
The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labeled datasets in real-world scenarios, leading to the use of transfer learning to…
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
Cuong V. Nguyen, Hieu Minh Duong, Cuong D. Do
In practical electrocardiography (ECG) interpretation, the scarcity of well-annotated data is a common challenge. Transfer learning techniques are valuable in such situations, yet…
Deep Learning for The Inverse Design of Mid-infrared Graphene Plasmons
Anh D. Phan, Cuong V. Nguyen, Pham T. Linh +3
We theoretically investigate the plasmonic properties of mid-infrared graphene-based metamaterials and apply deep learning of a neural network for the inverse design. These artific…