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David Francis Pierre Pasdeloup

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David Francis Pierre Pasdeloup

Researcher
Department of Circulation and Medical Imaging
Faculty of Medicine and Health Sciences

david.pasdeloup@ntnu.no
AHL-senteret, Øya
Publications Outreach

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2024

  • Nancy, Bazilchuk; Pasdeloup, David Francis Pierre; Dalen, Håvard; Løvstakken, Lasse; Måsøy, Svein-Erik. (2024) Kunstig intelligens hjelper til med å se hjertet ditt. Gemini
    Popular scientific article
  • Nancy, Bazilchuk; Pasdeloup, David Francis Pierre; Dalen, Håvard; Løvstakken, Lasse; Måsøy, Svein-Erik. (2024) Peering into your heart – with the help of AI. Gemini (English edition)
    Popular scientific article

2023

  • Olaisen, Sindre Hellum; Smistad, Erik; Espeland, Torvald; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas. (2023) Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Pasdeloup, David Francis Pierre; Løvstakken, Lasse; Smistad, Erik; Dalen, Håvard. (2023) Deep Learning in the Echocardiography Workflow: Challenges and Opportunities. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation
  • Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Pettersen, Håkon Neergaard; Smistad, Erik; Østvik, Andreas; Olaisen, Sindre Hellum. (2023) Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions . European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Smistad, Erik; Pasdeloup, David Francis Pierre; Stølen, Stian Bergseng; Grenne, Bjørnar Leangen. (2023) Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article

2022

  • Pasdeloup, David Francis Pierre. (2022) Kunstig intelligens er til stor hjelp ved ultralyd­avbildning av hjertet.
    Website (informational material)
  • Pasdeloup, David Francis Pierre. (2022) Taking Heart Imaging out of the Hospital with AI.
    Website (informational material)
  • Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. Ultrasound in Medicine and Biology
    Academic article
  • Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian Bergseng. (2022) The impact of real-time feedback by deep learning during echocardiographic scanning on test-retest variability of left ventricular systolic function measurements. European Heart Journal-Cardiovascular Imaging
    Abstract

2019

  • Reddy, Namireddy Praveen; Pasdeloup, David Francis Pierre; Zadeh, Mehdi Karbalaye; Skjetne, Roger. (2019) An Intelligent Power and Energy Management System for Fuel Cell/Battery Hybrid Electric Vehicle Using Reinforcement Learning. IEEE Transportation Electrification Conference & Expo (ITEC)
    Academic article

Journal publications

  • Nancy, Bazilchuk; Pasdeloup, David Francis Pierre; Dalen, Håvard; Løvstakken, Lasse; Måsøy, Svein-Erik. (2024) Kunstig intelligens hjelper til med å se hjertet ditt. Gemini
    Popular scientific article
  • Nancy, Bazilchuk; Pasdeloup, David Francis Pierre; Dalen, Håvard; Løvstakken, Lasse; Måsøy, Svein-Erik. (2024) Peering into your heart – with the help of AI. Gemini (English edition)
    Popular scientific article
  • Olaisen, Sindre Hellum; Smistad, Erik; Espeland, Torvald; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas. (2023) Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Pettersen, Håkon Neergaard; Smistad, Erik; Østvik, Andreas; Olaisen, Sindre Hellum. (2023) Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions . European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Smistad, Erik; Pasdeloup, David Francis Pierre; Stølen, Stian Bergseng; Grenne, Bjørnar Leangen. (2023) Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. Ultrasound in Medicine and Biology
    Academic article
  • Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian Bergseng. (2022) The impact of real-time feedback by deep learning during echocardiographic scanning on test-retest variability of left ventricular systolic function measurements. European Heart Journal-Cardiovascular Imaging
    Abstract
  • Reddy, Namireddy Praveen; Pasdeloup, David Francis Pierre; Zadeh, Mehdi Karbalaye; Skjetne, Roger. (2019) An Intelligent Power and Energy Management System for Fuel Cell/Battery Hybrid Electric Vehicle Using Reinforcement Learning. IEEE Transportation Electrification Conference & Expo (ITEC)
    Academic article

Report

  • Pasdeloup, David Francis Pierre; Løvstakken, Lasse; Smistad, Erik; Dalen, Håvard. (2023) Deep Learning in the Echocardiography Workflow: Challenges and Opportunities. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation

INFORMASJONSMATR

  • Pasdeloup, David Francis Pierre. (2022) Kunstig intelligens er til stor hjelp ved ultralyd­avbildning av hjertet.
    Website (informational material)
  • Pasdeloup, David Francis Pierre. (2022) Taking Heart Imaging out of the Hospital with AI.
    Website (informational material)

Outreach

2024

  • Poster
    Pasdeloup, David Francis Pierre. (2024) Left ventricular ejection fraction with Deep Learning: can we move past the status-quo of manual reference values?. PRESIMAL PRESIMAL Researcher School , Ørland 2024-09-18 - 2024-09-20
  • Academic lecture
    Pasdeloup, David Francis Pierre; Dalen, Håvard; Løvstakken, Lasse; Østvik, Andreas; Olaisen, Sindre Hellum. (2024) Challenges and Opportunities in end-to-end Dep Learning for Echocardiography. Leuven Meeting on Myocardial Function Imaging 2024-02-08 - 2024-02-09
  • Academic lecture
    Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Bøen, Gunn Catrin Fossum; Jakobsen, Even Olav; Langøy, Per Kristian Fahle; Nilsen, Hans Olav. (2024) The effect of deep learning guidance and automated measurements on the reproducibility of left ventricular ejection fraction and global longitudinal strain in breast cancer patients receiving trastuzumab. Norsk Cardiologisk Selskap Kardiologisk Høstmøte , Oslo 2024-10-24 - 2024-10-26

2023

  • Popular scientific lecture
    Ekroll, Ingvild Kinn; Grønli, Thomas; Wifstad, Sigurd Vangen; Yari, Yasin; Pasdeloup, David Francis Pierre; Hu, Jieyu. (2023) Se under overflaten med ultralyd!. Researchers Night 2023-09-29 - 2023-09-29
  • Academic lecture
    Pasdeloup, David Francis Pierre; Østvik, Andreas; Olaisen, Sindre Hellum; Skogvoll, Eirik; Dalen, Håvard; Løvstakken, Lasse. (2023) Automated measurements with AI: the gap between proof-of-concept and clinical use. Artimino Ultrasound Conference 2023-06-11 - 2023-06-14
  • Poster
    Olaisen, Sindre Hellum; Espeland, Torvald; Smistad, Erik; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas. (2023) Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence reduces time-consumption and inter-observer variability. EACVI EACVI , Barcelona 2023-05-10 - 2023-05-12
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Smistad, Erik; Pasdeloup, David Francis Pierre; Stølen, Stian Bergseng; Grenne, Bjørnar Leangen. (2023) Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability. Department of Cardiovascular Sciences, Research Groups Meeting on Myocardial Function Imaging , Leuven 2023-02-09 - 2023-02-10
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Smistad, Erik; Østvik, Andreas; Olaisen, Sindre Hellum. (2023) The Impact of Real-time Guiding by Deep Learning on Inter-operator Variability of Left Ventricular Function Measurements. Norsk Cardiologisk Selskap, Den Norske Legeforening Høstmøte, Norsk Cardiologisk Selskap , Scandic Fornebu, Martin Lingesvei 2,1364, Fornebu 2023-10-26 - 2023-10-28
  • Poster
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Bøen, Gunn Catrin Fossum. (2023) The impact of real-time guiding by deep learning on test-retest variability of automated left ventricular systolic function measurements. EACVI EACVI , Barcelona 2023-05-10 - 2023-05-12

2022

  • Academic lecture
    Olaisen, Sindre Hellum; Smistad, Erik; Østvik, Andreas; Hu, Jieyu; Pasdeloup, David Francis Pierre; Stylidis, Michael. (2022) Automatic calculation of left ventricular ejection fraction using artificial intelligence. Norsk Cardiologisk Selskap Kardiologisk høstmøte 2022 , Fornebu, Oslo 2022-10-27 - 2022-10-29
  • Poster
    Pasdeloup, David Francis Pierre; Sæbø, Sigbjørn; Olaisen, Sindre Hellum; Pettersen, Håkon Neergaard; Østvik, Andreas; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. PRESIMAL Autumn Research School 2022-09-14 - 2022-09-16
  • Poster
    Pasdeloup, David Francis Pierre; Sæbø, Sigbjørn; Olaisen, Sindre Hellum; Pettersen, Håkon Neergaard; Østvik, Andreas; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. IEEE IEEE International Ultrasound Symposium 2022-10-10 - 2022-10-13
  • Academic lecture
    Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Østvik, Andreas; Pasdeloup, David Francis Pierre; Smistad, Erik; Stølen, Stian Bergseng. (2022) Automated analyses and real-time guiding by deep learning to reduce test-retest variability of global longitudinal strain. ESC 2022 , Barcelona 2022-08-25 - 2022-08-29
  • Academic lecture
    Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Østvik, Andreas; Smistad, Erik; Pasdeloup, David Francis Pierre; Grenne, Bjørnar. (2022) Automated analyses and real-time guiding by deep learning to reduce variability of global longitudinal strain. CIUS CIUS Fall Conference 2022 , Trondheim 2022-11-09 -

2021

  • Poster
    Mohajery, Mohammad; Wigen, Morten Smedsrud; Fadnes, Solveig; Pasdeloup, David Francis Pierre; Smistad, Erik; Espeland, Torvald. (2021) The variation of natural myocardial mechanical wave velocities due to 3D propagation. IEEE International Ultrasonics Symposium , Virtual 2021-09-11 - 2021-09-16
  • Poster
    Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Holte, Espen; Grenne, Bjørnar; Sæbo, Sigbjørn. (2021) Real-time Image Guiding in Echocardiography using Deep Learning. International Ultrasound Symposium 2021-09-11 - 2021-09-16
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas Raae; Smistad, Erik; Stølen, Stian Bergseng. (2021) Impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements. Norsk Cardiologisk Selskap, Den Norske Legeforening Høstmøte, Norsk Cardiologisk Selskap , Scandic Fornebu, Martin Lingesvei 2,1364, Fornebu 2021-10-28 - 2021-10-30
  • Poster
    Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Pasdeloup, David Francis Pierre; Smistad, Erik; Stølen, Stian Bergseng; Grenne, Bjørnar. (2021) Real-time automatic feedback by deep learning to reduce apical foreshortening in echocardiography. EuroEcho 2021 2021-12-09 -
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian Bergseng. (2021) Impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements. Centre for Innovative Ultrasound Solutions CIUS Fall Conference 2021 , Trondheim 2021-12-07 - 2021-12-08
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian Bergseng. (2021) The impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements . European Society of Cardiology EuroEcho 2021 , Berlin 2021-12-09 - 2021-12-11

2020

  • Poster
    Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse; Dalen, Håvard; Olaisen, Sindre Hellum. (2020) Automatic Apical Standard Views extraction from 3D ultrasound volumes using Deep Learning. Virtual IEEE IUS Symposium 2020-09-06 - 2020-09-11

2019

  • Academic lecture
    Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2019) Retraining strategies for improved generalization of deep neural networks. IEEE International Ultrasonics symposium , Glasgow 2019-10-06 - 2019-10-09

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