探花精选

Filip Christiansen

Filip Christiansen

Doktorand
叠别蝉枚办蝉补诲谤别蝉蝉: S枚dersjukhuset, Sjukhusbacken 21, 11883 Stockholm
Postadress: S1 Klinisk forskning och utbildning, S枚dersjukhuset, S1 KI S脰S Forskning Kvinnosjukv氓rd Epstein, 118 83 Stockholm
Del av:

Artiklar

  • Journal article: ULTRASOUND IN OBSTETRICS AND 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; Fischerov谩 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; 艩a拧kov谩 P; Verri D; Visenzi C; Herman P; Smith K; Epstein E
  • Article: ULTRASOUND IN OBSTETRICS AND GYNECOLOGY. 2021;57(1):155-163
    Christiansen F; Epstein EL; Smedberg E; Akerlund M; Smith K; Epstein E
  • Journal article: ULTRASOUND IN OBSTETRICS AND GYNECOLOGY. 2020;56(S1):8
    Christiansen F; Epstein E; Smedberg E; 脜kerlund M; Smith K; Epstein E

Alla 枚vriga publikationer

  • Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 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 M脌; Kudla M; Guerriero S; Buonomo F; Liuba K; Montik N; Alc谩zar JL; Domali E; Pangilinan NC; Carella C; Munaretto M; 艩a拧kov谩 P; Verri D; Visenzi C; Herman P; Smith K; Epstein E
  • Book chapter: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION 鈥 MICCAI 2024: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2024;p. 3-12
    Konuk E; Welch R; Christiansen F; Epstein E; Smith K

础苍蝉迟盲濒濒苍颈苍驳补谤

  • Doktorand, Klinisk forskning och utbildning, S枚dersjukhuset, 探花精选, 2024-2027

Examina och utbildning

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

Priser och utm盲rkelser

  • Trainee Research Prize, Best abstract in Imaging Informatics Awarded to the best young researcher in the 鈥淚maging Informatics鈥 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 鈥渋ncredibly detailed, perceptive, and thoughtfully articulated鈥., 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 f枚r 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 f枚redragsh氓llare, 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

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