Filip Christiansen

Artiklar

Journal article: ULTRASOUND IN OBSTETRICS AND GYNECOLOGY. 2024;64 Suppl 1:2
Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary.
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 AND GYNECOLOGY. 2021;57(1):155-163
Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment
Christiansen F; Epstein EL; Smedberg E; Akerlund M; Smith K; Epstein E
Journal article: ULTRASOUND IN OBSTETRICS AND GYNECOLOGY. 2020;56(S1):8
OC03.02: *Ultrasound image analysis using deep neural networks to discriminate benign and malignant ovarian tumours: a comparison to subjective expert assessment
Christiansen F; Epstein E; Smedberg E; Åkerlund M; Smith K; Epstein E

Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2024;15008:3-12
A Framework for Assessing Joint Human-AI Systems Based on Uncertainty Estimation
Konuk E; Welch R; Christiansen F; Epstein E; Smith K
Preprint: ELSEVIER BV. 2024
AI-Driven Ultrasound Detection of Ovarian Cancer that Generalizes: An International Multicentre Validation Study
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: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2024: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2024;p. 3-12
A Framework for Assessing Joint Human-AI Systems Based on Uncertainty Estimation
Konuk E; Welch R; Christiansen F; Epstein E; Smith K

Doktorand, Klinisk forskning och utbildning, Södersjukhuset, Karolinska Institutet, 2024-2027

Trainee Research Prize, Best abstract in Imaging Informatics, Radiological Society of North America, 2024

Ultrasound in Obstetrics & Gynecology, John Wiley & Sons, Anonymous peer review, https://www.webofscience.com/wos/author/record/AAC-6131-2021, 2020

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, 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
Inbjuden föredragshållare, 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
Muntliga presentationer av egna accepterade 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