5 papers
Robust Transfer Learning for Paper ECG Recognition
Yinghao Xie, Zhenbang Dai, Haojun Wang +6
Paper ECG recognition is challenging because real-world ECG images vary in layout, physical artifacts, and label availability. We introduce RobECG-CL, a rank-aware contrastive lear…
On the role of the tokenizer in ECG transformer models
Jiawei Li, Fabio Bonassi, Johan Sundström +2
Tokenization determines both the physiological content presented to an ECG Transformer and the sequence over which attention operates. We compare eight tokenization strategies acro…
How Do Electrocardiogram Models Scale?
Jiawei Li, Fabio Bonassi, Ming Jin +4
While scaling laws have established a fundamental framework for foundation models in natural language processing, their applicability to electrocardiogram (ECG) models remains poor…
Sparse probabilistic evaluation for treatment planning: a feasibility study in IMPT head & neck patients
Jenneke I. de Jong, Steven J. M. Habraken, Albin Fredriksson +4
Probabilistic evaluation improves the trade-off between target coverage and OAR sparing in IMPT but remains computationally demanding. This study proposes sparse probabilistic eval…
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods
Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson +5
Objective: Imbalances of the electrolyte concentration levels in the body can lead to catastrophic consequences, but accurate and accessible measurements could improve patient outc…