Filip Christiansen
E-mail: filip.christiansen.2@ki.se
Visiting address: Södersjukhuset, Sjukhusbacken 21, 11883 Stockholm
Postal address: S1 Klinisk forskning och utbildning, Södersjukhuset, S1 KI SÖS Forskning Kvinnosjukvård Epstein, 118 83 Stockholm
Articles
- Article: NATURE MEDICINE. 2025;31(1):189-196Christiansen 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 1:2Christiansen 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):155-163Christiansen F; Epstein EL; Smedberg E; Akerlund M; Smith K; Epstein E
- Journal article: ULTRASOUND IN OBSTETRICS & GYNECOLOGY. 2020;56(S1):8Christiansen F; Epstein E; Smedberg E; Åkerlund M; Smith K; Epstein E
All other publications
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2024;15008:3-12Konuk E; Welch R; Christiansen F; Epstein E; Smith K
- Preprint: ELSEVIER BV. 2024Christiansen 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. 3-12Konuk E; Welch R; Christiansen F; Epstein E; Smith K
Employments
- Phd Student, 2024-2027
Degrees and Education
- Bachelor of Science Degree in Engineering Physics, 2020
Distinction and awards
- 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., 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., 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., 2024
- Young Investigator Award [Nominated], Awarded to the best young researcher during the 34th ISUOG World Congress on Ultrasound in Obstetrics & 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”., 2023
- Young Investigator Award, Awarded to the top young researcher during the 30th ISUOG World Congress on Ultrasound in Obstetrics & Gynecology., 2020
Journal reviewing
- Ultrasound in Obstetrics & Gynecology, John Wiley & Sons, Anonymous peer review, https://www.webofscience.com/wos/author/record/AAC-6131-2021, 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, https://www.isuog.org/events/past-events/budapest-2024.html, AI-driven ultrasound detection of ovarian cancer that generalizes: an international multicentre validation study, https://doi.org/10.1002/uog.27724, 2024
- Invited speaker, ISUOG 31st World Congress on Ultrasound in Obstetrics and Gynecology, https://www.isuog.org/events/past-events/online-2021.html, 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, https://www.isuog.org/events/past-events/online-2020.html, Ultrasound image analysis using deep neural networks to discriminate benign and malignant ovarian tumours: a comparison to subjective expert assessment, https://doi.org/10.1002/uog.22215, 2020