探花精选

Filip Christiansen

Filip Christiansen

Phd Student
Visiting address: S枚dersjukhuset, Sjukhusbacken 21, 11883 Stockholm
Postal address: S1 Klinisk forskning och utbildning, S枚dersjukhuset, S1 KI S脰S Forskning Kvinnosjukv氓rd Epstein, 118 83 Stockholm
Part of:

Articles

  • 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; 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 & 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; 脜kerlund M; Smith K; Epstein E

All other publications

  • 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 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: LECTURE NOTES IN COMPUTER SCIENCE. 2024;p. 3-12
    Konuk E; Welch R; Christiansen F; Epstein E; Smith K

Employments

  • Phd Student, Department of Clinical Science and Education, S枚dersjukhuset, 探花精选, 2024-2027

Degrees and Education

  • Bachelor of Science Degree in Engineering Physics, Royal Institute of Technology, 2020

Distinction and awards

  • 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

Journal reviewing

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

Conference/event participation

  • Poster presenter of own accepted 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
  • Oral presenter of own accepted 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
  • Invited speaker, ISUOG 31st World Congress on Ultrasound in Obstetrics and Gynecology, , Using deep neural networks to classify ovarian pathology, 2021
  • Oral presenter of own accepted 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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