Arunashis Sau

According to our database, Arunashis Sau authored at least 4 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms.

Gul Rukh Khattak, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Boroumand Zeidaabadi, Ahmed El-Medany, Hesham Aggour, Yixiu Liang, Antônio H. Ribeiro, Jeffrey Annis, Antônio Luiz Pinho Ribeiro, Junbo Ge, Daniel B. Kramer, Jonathan W. Waks, Evan Brittain, Nicholas S. Peters, Fu Siong Ng, Arunashis Sau

CoRR, September, 2025

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements.

Alexander Jenkins, Andrea Cini, Joseph Barker, Alexander Sharp, Arunashis Sau, Varun Valentine, Srushti Valasang, Xinyang Li, Tom Wong, Timothy Betts, Danilo P. Mandic, Cesare Alippi, Fu Siong Ng

CoRR, February, 2025

Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model.

Gul Rukh Khattak, Konstantinos Patlatzoglou, Yixiu Liang, Libor Pastika, Boroumand Zeidaabadi, Joseph Barker, Mehak Gurnani, Antônio H. Ribeiro, Jeffrey Annis, Antônio L. P. Ribeiro, Nicholas S. Peters, Junbo Ge, Daniel B. Kramer, Jonathan W. Waks, Evan Brittain, Arunashis Sau, Fu Siong Ng

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease.

Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

npj Digit. Medicine, 2024