Konrad Pieszko

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Venues

NPJ digital medicine

European heart journal

Disease markers

Cardiology journal

Uniwersytet Zielonogórski

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Uniwersytet Zielonogórski Oct 01 2018

Poland

Asystent :: Wydział Lekarski i Nauk o Zdrowiu

Wielospecjalistyczny Szpital Samodzielny Publiczny Zakład Opieki Zdrowotnej w Nowej Soli Feb 01 2016

Poland

M.D. :: Cardiology Department

Publications

Konrad Pieszko, Jarosław Hiczkiewicz, Katarzyna Łojewska, Beata Uziębło-Życzkowska, Paweł Krzesińki, Monika Gawalko, Monika Budnik, Katarzyna Starzyk, Beata Wożakowska-Kapłon, Ludmiła Daniłowicz-Szymanowicz, Damian K Kaufmann, Maciej Wójcik, Robert Błaszczyk, Katarzyna Mizia-Stec, Maciej T Wybraniec, Katarzyna Kosmalska, Marcin Fijałkowski, Anna Szymańska, Mirosław Dłużniewski, Michał Kucio, Maciej Haberka, Karolina Kupczynska, Błażej Michalski, Anna Tomaszuk-Kazberuk, Katarzyna Wilk-Śledziewska, Renata Wachnicka-Truty, Marek Koziński, Jacek Kwieciński, Rafał Wolny, Ewa Kowalik, Iga Kolasa, Agnieszka Jurek, Jan Budzianowski, Paweł Burchardt, Agnieszka Kaplon-Cieslicka, Piotr J Slomka
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 (2023)
Konrad Pieszko, Aakash D Shanbhag, Ananya Singh, M Timothy Hauser, Robert J H Miller, Joanna X Liang, Manish Motwani, Jacek Kwieciński, Tali Sharir, Andrew J Einstein, Mathews B Fish, Terrence D Ruddy, Philipp A Kaufmann, Albert J Sinusas, Edward J Miller, Timothy M Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S Berman, Damini Dey, Piotr J Slomka
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. NPJ digital medicine 6 (1) (2023)
Konrad Pieszko, Aakash D Shanbhag, Ananya Singh, M Timothy Hauser, Robert J H Miller, Joanna X Liang, Manish Motwani, Jacek Kwieciński, Tali Sharir, Andrew J Einstein, Mathews B Fish, Terrence D Ruddy, Philipp A Kaufmann, Albert J Sinusas, Edward J Miller, Timothy M Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S Berman, Damini Dey, Piotr J Slomka
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. NPJ digital medicine 6 (1) (2023)
Konrad Pieszko, Aakash D Shanbhag, Ananya Singh, M Timothy Hauser, Robert J H Miller, Joanna X Liang, Manish Motwani, Jacek Kwieciński, Tali Sharir, Andrew J Einstein, Mathews B Fish, Terrence D Ruddy, Philipp A Kaufmann, Albert J Sinusas, Edward J Miller, Timothy M Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S Berman, Damini Dey, Piotr J Slomka
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. NPJ digital medicine 6 (1) (2023)
Konrad Pieszko, Jarosław Hiczkiewicz, Jan Budzianowski, Bogdan Musielak, Dariusz Hiczkiewicz, Wojciech Faron, Janusz Rzeźniczak, Paweł Burchardt
Clinical applications of artificial intelligence in cardiology on the verge of the decade. Cardiology journal 28 (3) (2020)
Konrad Pieszko, Jarosław Hiczkiewicz, Paweł Budzianowski, Jan Budzianowski, Janusz Rzeźniczak, Karolina Pieszko, Paweł Burchardt
Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers. Disease markers 2019 (2019)
Konrad Pieszko, Jarosław Hiczkiewicz, Paweł Budzianowski, Janusz Rzeźniczak, Jan Budzianowski, Jerzy Błaszczyński, Roman Słowiński, Paweł Burchardt
Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes. Journal of translational medicine 16 (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Konrad Pieszko