Konstantinos Patlatzoglou

According to our database, Konstantinos Patlatzoglou authored at least 9 papers between 2018 and 2026.

Collaborative distances:

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

2026

A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography.

Ziqing Yu, Yuhui Tao, Jiayu Huo, Lei Pan, Zilong Xiao, Juecheng Chen, Xiao Li, Jianxuan Li, You Zhou, Zhixing Li, Cong Wang, Beijian Zhang, Chen Chen, Hongyang Lu, Konstantinos Patlatzoglou, Daniel B. Kramer, Jonathan W. Waks, Yangang Su, Fu Siong Ng, Shuo Wang, Yixiu Liang, Junbo Ge

CoRR, May, 2026

2025

Explaining deep learning for ECG using time-localized clusters.

Ahcène Boubekki, Konstantinos Patlatzoglou, Joseph Barker, Fu Siong Ng, Antônio H. Ribeiro

CoRR, September, 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

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

2020

Generalized Prediction of Unconsciousness during Propofol Anesthesia using 3D Convolutional Neural Networks.

Konstantinos Patlatzoglou, Srivas Chennu, Olivia Gosseries, Vincent Bonhomme, Audrey Wolff, Steven Laureys

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018

Deep Neural Networks for Automatic Classification of Anesthetic-Induced Unconsciousness.

Konstantinos Patlatzoglou, Srivas Chennu, Mélanie Boly, Quentin Noirhomme, Vincent Bonhomme, Jean-François Brichant, Olivia Gosseries, Steven Laureys

Proceedings of the Brain Informatics - International Conference, 2018