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Knowledge-aware audio-grounded generative slot filling for limited annotated data

Computer speech & language, 2025-01, Vol.89, p.101707, Article 101707

2025

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Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes

Journal of translational medicine, 2018-12, Vol.16 (1), p.334-334, Article 334

2018

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Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers

Disease markers, 2019-01, Vol.2019, p.9056402-9

2019

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Sample Efficient Deep Reinforcement Learning for Dialogue Systems With Large Action Spaces

IEEE/ACM transactions on audio, speech, and language processing, 2018-11, Vol.26 (11), p.2083-2097

2018

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Benchmarking Uncertainty Estimates with Deep Reinforcement Learning for Dialogue Policy Optimisation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.6069-6073

2018

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The Role of Hematological Indices in Patients with Acute Coronary Syndrome

Disease markers, 2017-01, Vol.2017, p.3041565-9

2017

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Machine learning model for predicting late recurrence of atrial fibrillation after catheter ablation

Scientific reports, 2023-09, Vol.13 (1), p.15213-9, Article 15213

2023

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Artificial intelligence in detecting left atrial appendage thrombus by transthoracic echocardiography and clinical features: the Left Atrial Thrombus on Transoesophageal Echocardiography (LATTEE) registry

European heart journal, 2024-01, Vol.45 (1), p.32-41

2024

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Recommendations of the Experts of the Polish Cardiac Society (PCS) and the Polish Lipid Association (PoLA) on the diagnosis and management of elevated lipoprotein(a) levels

Archives of medical science, 2024-01, Vol.20 (1), p.8-27

2024

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Predictors of Revascularization in Patients with Unstable Angina

Journal of clinical medicine, 2024-02, Vol.13 (4), p.1096

2024

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Beneficial effects of empagliflozin on hematocrit levels in a patient with severe anemia

Daru, 2021-12, Vol.29 (2), p.507-510

2021

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Cognitive Impairment in Cardiovascular Patients after Myocardial Infarction: Prospective Clinical Study

Journal of clinical medicine, 2023-07, Vol.12 (15), p.4954

2023

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Percutaneous coronary intervention using a mechanical circulatory support system with an Impella centrifugal pump device combined with subsequent cryoablation for atrial fibrillation

Cardiology journal, 2021-12, Vol.28 (6), p.995-996

2021

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LACK OF EARLY-RECURRENCE ATRIAL FIBRILLATION IN THE FOLLOW-UP PERIOD ASSOCIATED WITH PERIPROCEDURAL TNT AND CK-MB INCREASE IN CRYOABLATION AS COMPARED TO RADIOFREQUENCY ABLATION

Journal of the American College of Cardiology, 2020-03, Vol.75 (11), p.349-349

2020

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Can transesophageal echocardiography be safely omitted in patients scheduled for elective ablation of atrial arrhythmias? Data based on the LATTEE registry

Kardiologia polska (1957), 2024-01

2024

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Mechanical thrombectomy for acute ischemic stroke after implantation of the CoreValve Evolut R in a degenerative bioprosthetic surgical valve

Kardiologia polska, 2020-05, Vol.78 (5), p.470-471

2020

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Clinical applications of artificial intelligence in cardiology on the verge of the decade

Cardiology journal, 2021, Vol.28 (3), p.460-472

2021

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Cognitive impairment in patients after myocardial infarction

Kardiologia polska, 2023, Vol.81 (5), p.505-507

2023

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Patients with Non-Obstructive Coronary Artery Disease Require Strict Control of All Cardiovascular Risk Factors: Results from the Polish Local Population Medical Records

Journal of clinical medicine, 2021-06, Vol.10 (12), p.2704

2021

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The risk for subsequent coronary interventions in a local Polish population

Postępy w kardiologii interwencyjnej, 2020-12, Vol.16 (4), p.429-435

2020

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The Higher-Order Spectra (HOSA) as a Tool for the Rehabilitation Progress Estimation Referred to the Patients Diagnosed with Various Cardiac Diseases

Information Technology in Biomedicine, p.303-314

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Continuous representation of unevenly sampled signals - An application to the analysis of heart rate variability

IEEE Africon '11, 2011, p.1-7

2011

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An improvement of normogastric rhythm extraction from electrogastrographic (EGG) signal using independent component analysis

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009-01, Vol.2009, p.356-359

2009

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Knowledge-aware audio-grounded generative slot filling for limited annotated data

Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes

Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers

Sample Efficient Deep Reinforcement Learning for Dialogue Systems With Large Action Spaces

Benchmarking Uncertainty Estimates with Deep Reinforcement Learning for Dialogue Policy Optimisation

The Role of Hematological Indices in Patients with Acute Coronary Syndrome

Machine learning model for predicting late recurrence of atrial fibrillation after catheter ablation

Artificial intelligence in detecting left atrial appendage thrombus by transthoracic echocardiography and clinical features: the Left Atrial Thrombus on Transoesophageal Echocardiography (LATTEE) registry

Recommendations of the Experts of the Polish Cardiac Society (PCS) and the Polish Lipid Association (PoLA) on the diagnosis and management of elevated lipoprotein(a) levels

Predictors of Revascularization in Patients with Unstable Angina

Beneficial effects of empagliflozin on hematocrit levels in a patient with severe anemia

Cognitive Impairment in Cardiovascular Patients after Myocardial Infarction: Prospective Clinical Study

Percutaneous coronary intervention using a mechanical circulatory support system with an Impella centrifugal pump device combined with subsequent cryoablation for atrial fibrillation

LACK OF EARLY-RECURRENCE ATRIAL FIBRILLATION IN THE FOLLOW-UP PERIOD ASSOCIATED WITH PERIPROCEDURAL TNT AND CK-MB INCREASE IN CRYOABLATION AS COMPARED TO RADIOFREQUENCY ABLATION

Can transesophageal echocardiography be safely omitted in patients scheduled for elective ablation of atrial arrhythmias? Data based on the LATTEE registry

Mechanical thrombectomy for acute ischemic stroke after implantation of the CoreValve Evolut R in a degenerative bioprosthetic surgical valve

Clinical applications of artificial intelligence in cardiology on the verge of the decade

Cognitive impairment in patients after myocardial infarction

Patients with Non-Obstructive Coronary Artery Disease Require Strict Control of All Cardiovascular Risk Factors: Results from the Polish Local Population Medical Records

The risk for subsequent coronary interventions in a local Polish population

The Higher-Order Spectra (HOSA) as a Tool for the Rehabilitation Progress Estimation Referred to the Patients Diagnosed with Various Cardiac Diseases

Echocardiographic predictors of thrombus in left atrial appendage-The role of novel transthoracic parameters

Continuous representation of unevenly sampled signals - An application to the analysis of heart rate variability

An improvement of normogastric rhythm extraction from electrogastrographic (EGG) signal using independent component analysis

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