Boroumand Zeidaabadi

According to our database, Boroumand Zeidaabadi authored at least 4 papers in 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

The cost of explainability in artificial intelligence-enhanced electrocardiogram models.

Konstantinos Patlatzoglou, Libor Pastika, Joseph Barker, Ewa Sieliwonczyk, Gul Rukh Khattak, Boroumand Zeidaabadi, Antônio H. Ribeiro, James S. Ware, Nicholas S. Peters, Antônio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng

npj Digit. Medicine, 2025

Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach.

Mehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Boroumand Zeidaabadi, Ibrahim Antoun, Riyaz Somani, G. André Ng, Paolo Inglese, Lara Curran, Declan P. O'Regan, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng

npj Digit. Medicine, 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