̽ѡ

Filip Christiansen

Filip Christiansen

Doktorand
ö: Södersjukhuset, Sjukhusbacken 21, 11883 Stockholm
Postadress: S1 Klinisk forskning och utbildning, Södersjukhuset, S1 KI SÖS Forskning Kvinnosjukvård Epstein, 118 83 Stockholm
Del av:

Artiklar

  • Article: NATURE MEDICINE. 2025;31(1):189-196
    Christiansen F; Konuk E; Ganeshan AR; Welch R; Pales Huix J; Czekierdowski A; Leone FPG; Haak LA; Fruscio R; Gaurilcikas A; Franchi D; Fischerova D; Mor E; Savelli L; Pascual MA; Kudla MJ; Guerriero S; Buonomo F; Liuba K; Montik N; Alcazar JL; Domali E; Pangilinan NCP; Carella C; Munaretto M; Saskova P; Verri D; Visenzi C; Herman P; Smith K; Epstein E
  • Journal article: ULTRASOUND IN OBSTETRICS & GYNECOLOGY. 2024;64 Suppl 1:2
    Christiansen F; Konuk E; Ganeshan A; Welch R; Huix JP; Czekierdowski A; Leone F; Haak LA; Fruscio R; Gaurilcikas A; Franchi D; Fischerová D; Mor E; Savelli L; Pascual M; Kudla MJ; Guerriero S; Buonomo F; Liuba K; Montik N; Alcazar J; Domali E; Pangilinan NP; Carella C; Munaretto M; Šašková P; Verri D; Visenzi C; Herman P; Smith K; Epstein E
  • Article: ULTRASOUND IN OBSTETRICS & GYNECOLOGY. 2021;57(1):155-163
    Christiansen F; Epstein EL; Smedberg E; Akerlund M; Smith K; Epstein E
  • Journal article: ULTRASOUND IN OBSTETRICS & GYNECOLOGY. 2020;56(S1):8
    Christiansen F; Epstein E; Smedberg E; Åkerlund M; Smith K; Epstein E

Alla övriga publikationer

  • Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2024;15008:3-12
    Konuk E; Welch R; Christiansen F; Epstein E; Smith K
  • Preprint: ELSEVIER BV. 2024
    Christiansen F; Konuk E; Ganeshan AR; Welch R; Huix JP; Czekierdowski A; Giuseppe Leone FP; Fruscio R; Haak LA; Gaurilcikas A; Franchi D; Fischerova D; Mor E; Savelli L; Pascual MÀ; Kudla M; Guerriero S; Buonomo F; Liuba K; Montik N; Alcázar JL; Domali E; Pangilinan NC; Carella C; Munaretto M; Šašková P; Verri D; Visenzi C; Herman P; Smith K; Epstein E
  • Book chapter: LECTURE NOTES IN COMPUTER SCIENCE. 2024;p. 3-12
    Konuk E; Welch R; Christiansen F; Epstein E; Smith K

ԲäԾԲ

  • Doktorand, Klinisk forskning och utbildning, Södersjukhuset, ̽ѡ, 2024-2027

Examina och utbildning

  • Kandidatexamen i Teknisk fysik, Royal Institute of Technology, 2020

Priser och utmärkelser

  • Trainee Research Prize, Best abstract in Imaging Informatics Awarded to the best young researcher in the “Imaging Informatics” category at the 110th Scientific Assembly and Annual Meeting of RSNA., Radiological Society of North America, 2024
  • Scientific Poster Award, Awarded to the best 70 posters, out of more than 12, 000 abstract submissions, at the 110th Scientific Assembly and Annual Meeting of RSNA., Radiological Society of North America, 2024
  • Top 5 Abstract Award, Selected as one of five "Top Abstracts" for plenary presentation at the 34th ISUOG World Congress on Ultrasound in Obstetrics & Gynecology from more than 1, 400 abstract submissions from researchers in 78 countries., International Society of Ultrasound in Obstetrics and Gynecology, 2024
  • Young Investigator Award [Nominated], Awarded to the best young researcher during the 34th ISUOG World Congress on Ultrasound in Obstetrics & Gynecology., International Society of Ultrasound in Obstetrics and Gynecology, 2024
  • Outstanding Reviewer Award, Recognized as one of the top 20 reviewers for the journal Ultrasound in Obstetrics & Gynecology for delivering reviews described as “incredibly detailed, perceptive, and thoughtfully articulated”., International Society of Ultrasound in Obstetrics and Gynecology, 2023
  • Young Investigator Award, Awarded to the top young researcher during the 30th ISUOG World Congress on Ultrasound in Obstetrics & Gynecology., International Society of Ultrasound in Obstetrics and Gynecology, 2020

Sakkunniggranskning för vetenskaplig tidskrift

  • Ultrasound in Obstetrics & Gynecology, John Wiley & Sons, Anonymous peer review, , 2020

Konferenser och events

  • Poster-presentationer av egna accepterade abstract, 110th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), AI-Driven Ultrasound Detection of Ovarian Cancer That Generalizes: An International Multicenter Validation Study, 2024
  • Muntliga presentationer av egna accepterade abstract, ISUOG 34th World Congress on Ultrasound in Obstetrics and Gynecology, , AI-driven ultrasound detection of ovarian cancer that generalizes: an international multicentre validation study, , 2024
  • Inbjuden föredragshållare, ISUOG 31st World Congress on Ultrasound in Obstetrics and Gynecology, , Using deep neural networks to classify ovarian pathology, 2021
  • Muntliga presentationer av egna accepterade abstract, ISUOG 30th World Congress on Ultrasound in Obstetrics and Gynecology, , Ultrasound image analysis using deep neural networks to discriminate benign and malignant ovarian tumours: a comparison to subjective expert assessment, , 2020

Nyheter från KI

Kalenderhändelser från KI