Fredrik Strand
Affiliated to Research | Docent
E-mail: fredrik.strand@ki.se
Visiting address: Karolinska Universitetssjukhuset Anna Steckséns Gata 51, L2:03, 17176 Solna
Postal address: K7 Onkologi-Patologi, K7 Forskning Strand, 171 77 Stockholm
About me
- I am a Docent and MD PhD Radiologist within the Breast Imaging Unit at the
Karolinska University Hospital interested in applying new machine learning
techniques to breast radiology images.
I am an MD PhD Radiologist within the Breast Imaging unit at the Karolinska
University Hospital, and a researcher at the department of Oncology-Pathology
at docent-level.
* Specialist in Diagnostic Radiology
* M.D. Ph.D., Karolinska Institute
* M.Sc. Engineering Physics, LTH at Lund University
Research
- I am passionate about exploring and developing new machine learning-based
techniques to improve the outcomes for breast cancer patients.
Please visit my team page to read more about our research (Web Page - Unit in
the right-hand menu)
Teaching
- Teaching "Visual AI for Clinical Radiological Imaging" to PhD students
- Teaching "AI in Breast Imaging" to radiologists
- Teaching "Breast Imaging Overview" to residents
- Teaching "Introduction to Radiology" to medical students
Selected publications
- Article: NATURE MEDICINE. 2024;30(9):2623-2630Salim M; Liu Y; Sorkhei M; Ntoula D; Foukakis T; Fredriksson I; Wang Y; Eklund M; Azizpour H; Smith K; Strand F
- Article: RADIOLOGY. 2024;311(1):e232535Liu Y; Sorkhei M; Dembrower K; Azizpour H; Strand F; Smith K
- Article: RADIOLOGY. 2023;309(1):e222691Gommers JJJ; Abbey CK; Strand F; Taylor-Phillips S; Jenkinson DJ; Larsen M; Hofvind S; Sechopoulos I; Broeders MJM
- Article: LANCET DIGITAL HEALTH. 2023;5(10):e703-e711Dembrower K; Crippa A; Colon E; Eklund M
- Review: RADIOLOGY. 2023;307(5):e222639Yoon JH; Strand F; Baltzer PAT; Conant EF; Gilbert FJ; Lehman CD; Morris EA; Mullen LA; Nishikawa RM; Sharma N; Vejborg I; Moy L; Mann RM
- Article: JOURNAL OF CLINICAL ONCOLOGY. 2022;40(16):1732-1740Yala A; Mikhael PG; Strand F; Lin G; Satuluru S; Kim T; Banerjee I; Gichoya J; Trivedi H; Lehman CD; Hughes K; Sheedy DJ; Matthis LM; Karunakaran B; Hegarty KE; Sabino S; Silva TB; Evangelista MC; Caron RF; Souza B; Mauad EC; Patalon T; Handelman-Gotlib S; Guindy M; Barzilay R
- Article: NATURE MEDICINE. 2022;28(1):136-143Yala A; Mikhael PG; Lehman C; Lin GG; Strand F; Wan Y-L; Hughes K; Satuluru S; Kim T; Banerjee I; Gichoya J; Trivedi H; Barzilay R
- Article: SCIENCE TRANSLATIONAL MEDICINE. 2021;13(578):eaba4373Yala A; Mikhael PG; Strand F; Lin G; Smith K; Wan Y-L; Lamb L; Hughes K; Lehman C; Barzilay R
- Article: RADIOLOGY. 2020;297(2):327-333Eriksson M; Czene K; Strand F; Zackrisson S; Lindholm P; Lang K; Fornvik D; Sartor H; Mavaddat N; Easton D; Hall P
- Article: JAMA ONCOLOGY. 2020;6(10):1581-1588Salim M; Wahlin E; Dembrower K; Azavedo E; Foukakis T; Liu Y; Smith K; Eklund M; Strand F
- Article: RADIOLOGY. 2020;297(1):33-39Salim M; Dembrower K; Eklund M; Lindholm P; Strand F
- Article: LANCET DIGITAL HEALTH. 2020;2(9):e468-e474Dembrower K; Wahlin E; Liu Y; Salim M; Smith K; Lindholm P; Eklund M; Strand F
- Article: RADIOLOGY. 2020;294(2):265-272Dembrower K; Liu Y; Azizpour H; Eklund M; Smith K; Lindholm P; Strand F
Articles
- Article: BMC HEALTH SERVICES RESEARCH. 2025;25(1):998Gerigoorian A; Kloub M; Dembrower K; Engwall M; Strand F
- Journal article: RADIOLOGY. 2025;315(3):e250903Strand F
- Article: NPJ DIGITAL MEDICINE. 2025;8(1):259Schurz H; Solander K; Astrom D; Cossio F; Choi T; Dustler M; Lundstrom C; Gustafsson H; Zackrisson S; Strand F
- Article: EUROPEAN JOURNAL OF RADIOLOGY. 2025;186:112062Zouzos A; Fredriksson I; Karakatsanis A; Foukakis T; Strand F
- Article: SCIENTIFIC DATA. 2025;12(1):453Garrucho L; Kushibar K; Reidel C-A; Joshi S; Osuala R; Tsirikoglou A; Bobowicz M; del Riego J; Catanese A; Gwozdziewicz K; Cosaka M-L; Abo-Elhoda PM; Tantawy SW; Sakrana SS; Shawky-Abdelfatah NO; Salem AMA; Kozana A; Divjak E; Ivanac G; Nikiforaki K; Klontzas ME; Garcia-Dosda R; Gulsun-Akpinar M; Lafci O; Mann R; Martin-Isla C; Prior F; Marias K; Starmans MPA; Strand F; Diaz O; Igual L; Lekadir K
- Article: RADIOLOGY. 2025;314(3):e242566Dembrower KE; Crippa A; Eklund M; Strand F
- Article: EUROPEAN JOURNAL OF RADIOLOGY. 2025;183:111895Zouzos A; Fredriksson I; Karakatsanis A; Aristokleous I; Foukakis T; Strand F
- Article: MEDICAL IMAGE ANALYSIS. 2025;99:103320Manigrasso F; Milazzo R; Russo AS; Lamberti F; Strand F; Pagnani A; Morra L
- Article: MEDICAL DECISION MAKING. 2024;44(7):828-842Gommers JJJ; Abbey CK; Strand F; Taylor-Phillips S; Jenkinson DJ; Larsen M; Hofvind S; Broeders MJM; Sechopoulos I
- Article: EUROPEAN RADIOLOGY. 2024;34(8):5415-5424Al-Bazzaz H; Janicijevic M; Strand F
- Journal article: CANCER RESEARCH. 2024;84(9_Supplement):po4-07-03-po4-07-03Leong L; Xu M; Huang W; Zhang E; Loh E; Teo SY; Lim GH; Tan VKM; Sim Y; Strand F; Tan R
- Journal article: CANCER RESEARCH. 2024;84(6_Supplement):3449Bunnell A; Valdez D; Strand F; Glaser Y; Sadowski P; Shepherd JA
- Article: BMJ OPEN. 2024;14(2):e084014Johansson JV; Dembrower K; Strand F; Grauman A
- Article: JOURNAL OF MEDICAL IMAGING. 2023;10(6):061404Cossio F; Schurz H; Engstrom M; Barck-Holst C; Tsirikoglou A; Lundstrom C; Gustafsson H; Smith K; Zackrisson S; Strand F
- Article: BRITISH JOURNAL OF RADIOLOGY. 2023;96(1151):20230210Salim M; Dembrower K; Eklund M; Smith K; Strand F
- Article: JMIR AI. 2023;2:e48123Zouzos A; Milovanovic A; Dembrower K; Strand F
- Article: LAKARTIDNINGEN. 2023;120:23065Strand F; Zackrisson S; Gustafsson H
- Article: JOURNAL OF MEDICAL IMAGING. 2023;10(Suppl 2):S22405Dembrower K; Salim M; Eklund M; Lindholm P; Strand F
- Article: JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK. 2023;21(2):143-152.e4Mao X; He W; Humphreys K; Eriksson M; Holowko N; Strand F; Hall P; Czene K
- Article: FRONTIERS IN ONCOLOGY. 2023;12:1044496Garrucho L; Kushibar K; Osuala R; Diaz O; Catanese A; del Riego J; Bobowicz M; Strand F; Igual L; Lekadir K
- Article: RADIOLOGY. 2021;301(2):295-308Onishi N; Li W; Newitt DC; Harnish RJ; Strand F; Nguyen AA-T; Arasu VA; Gibbs J; Jones EF; Wilmes LJ; Kornak J; Joe BN; Price ER; Ojeda-Fournier H
- Journal article: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY. 2021;18(11):1564-1565Strand F; Patel BK; Allen B
- Journal article: BMC NEPHROLOGY. 2021;22(1):326Kistner A; Tamm C; Svensson AM; Beckman MO; Strand F; Skold M; Nyren S
- Journal article: 2021Gommers J; Abbey C; Strand F; Broeders M; Sechopoulos I
- Article: BMC NEPHROLOGY. 2021;22(1):297Kistner A; Tamm C; Svensson AM; Beckman MO; Strand F; Skold M; Nyren S
- Article: FRONTIERS IN MEDICINE. 2021;8:666723Jalde FC; Beckman MO; Svensson AM; Bell M; Skold M; Strand F; Nyren S; Kistner A
- Article: ACTA RADIOLOGICA. 2020;61(12):1600-1607Hellgren R; Saracco A; Strand F; Eriksson M; Sundbom A; Hall P; Dickman PW
- Article: NPJ BREAST CANCER. 2020;6(1):63Li W; Newitt DC; Gibbs J; Wilmes LJ; Jones EF; Arasu VA; Strand F; Onishi N; Nguyen AA-T; Kornak J; Joe BN; Price ER; Ojeda-Fournier H; Eghtedari M; Zamora KW; Woodard SA; Umphrey H; Bernreuter W; Nelson M; Church AL; Bolan P; Kuritza T; Ward K; Morley K; Wolverton D; Fountain K; Lopez-Paniagua D; Hardesty L; Brandt K; McDonald ES; Rosen M; Kontos D; Abe H; Sheth D; Crane EP; Dillis C; Sheth P; Hovanessian-Larsen L; Bang DH; Porter B; Oh KY; Jafarian N; Tudorica A; Niell BL; Drukteinis J; Newell MS; Cohen MA; Giurescu M; Berman E; Lehman C; Partridge SC; Fitzpatrick KA; Borders MH; Yang WT; Dogan B; Goudreau S; Chenevert T; Yau C; DeMichele A; Berry D; Esserman LJ; Hylton NM
- Article: JOURNAL OF BREAST IMAGING. 2020;2(4):352-360Arasu VA; Kim P; Li W; Strand F; McHargue C; Harnish R; Newitt DC; Jones EF; Glymour MM; Kornak J; Esserman LJ; Hylton NM
- Article: TOMOGRAPHY. 2020;6(2):101-110Nguyen AA-T; Arasu VA; Strand F; Li W; Onishi N; Gibbs J; Jones EF; Joe BN; Esserman LJ; Newitt DC; Hylton NM
- Article: JOURNAL OF DIGITAL IMAGING. 2020;33(2):408-413Dembrower K; Lindholm P; Strand F
- Article: JAMA NETWORK OPEN. 2020;3(3):e200265Schaffter T; Buist DSM; Lee CI; Nikulin Y; Ribli D; Guan Y; Lotter W; Jie Z; Du H; Wang S; Feng J; Feng M; Kim H-E; Albiol F; Albiol A; Morrell S; Wojna Z; Ahsen ME; Asif U; Yepes AJ; Yohanandan S; Rabinovici-Cohen S; Yi D; Hoff B; Yu T; Neto EC; Rubin DL; Lindholm P; Margolies LR; McBride RB; Rothstein JH; Sieh W; Ben-Ari R; Harrer S; Trister A; Friend S; Norman T; Sahiner B; Strand F; Guinney J; Stolovitzky G
- Article: ACTA RADIOLOGICA OPEN. 2019;8(12):2058460119880315Jonmarker O; Strand F; Brandberg Y; Lindholm P
- Article: BREAST. 2019;46:58-63Strand F; Zackrisson S
- Article: MEDICAL PHYSICS. 2019;46(3):1309-1316Hinton B; Ma L; Mahmoudzadeh AP; Malkov S; Fan B; Greenwood H; Joe B; Lee V; Strand F; Kerlikowske K; Shepherd J
- Article: BMC MEDICINE. 2019;17(1):24He W; Eriksson L; Tornberg S; Strand F; Hall P; Czene K
- Article: BREAST CANCER RESEARCH. 2019;21(1):8Strand F; Azavedo E; Hellgren R; Humphreys K; Eriksson M; Shepherd J; Hall P; Czene K
- Article: BREAST CANCER RESEARCH. 2018;20(1):31Strand F; Humphreys K; Holm J; Eriksson M; Tornberg S; Hall P; Azavedo E; Czene K
- Journal article: CANCER RESEARCH. 2018;78(4_Supplement):p6-08-20-p6-08-20He W; Bergman L; Törnberg S; Strand F; Hall P; Czene K
- Article: INTERNATIONAL JOURNAL OF CANCER. 2017;140(1):34-40Strand F; Humphreys K; Eriksson M; Li J; Andersson TML; Törnberg S; Azavedo E; Shepherd J; Hall P; Czene K
- Article: BREAST CANCER RESEARCH. 2016;10(1):100Strand F; Humphreys K; Cheddad A; Tornberg S; Azavedo E; Shepherd J; Hall P; Czene K
- Article: NEUROPSYCHOLOGIA. 2008;46(11):2668-2682McNab F; Leroux G; Strand F; Thorell L; Bergman S; Klingberg T
- Article: BRAIN RESEARCH. 2008;1212:48-54Phonological working memory with auditory presentation of pseudo-words - An event related fMRI StudyStrand F; Forssberg H; Klingberg T; Norrelgen F
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All other publications
- Review: JAPANESE JOURNAL OF RADIOLOGY. 2025;43(6):927-933Strand F
- Preprint: ARXIV. 2024Bunnell A; Valdez D; Strand F; Glaser Y; Sadowski P; Shepherd JA
- Preprint: ARXIV. 2024Guo J; Matsoukas C; Strand F; Smith K
- Preprint: ARXIV. 2024Garrucho L; Kushibar K; Reidel C-A; Joshi S; Osuala R; Tsirikoglou A; Bobowicz M; del Riego J; Catanese A; Gwoździewicz K; Cosaka M-L; Abo-Elhoda PM; Tantawy SW; Sakrana SS; Shawky-Abdelfatah NO; Abdo-Salem AM; Kozana A; Divjak E; Ivanac G; Nikiforaki K; Klontzas ME; García-Dosdá R; Gulsun-Akpinar M; Lafcı O; Mann R; Martín-Isla C; Prior F; Marias K; Starmans MPA; Strand F; Díaz O; Igual L; Lekadir K
- Conference publication: PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. 2024;13174:131741g-131741g-6-64Tingberg A; Dahlblom V; Bakic P; Schurz H; Strand F; Zackrisson S; Dustler M
- Preprint: JMIR PREPRINTS. 2023Zouzos A; Milovanovic A; Dembrower K; Strand F
- Conference publication: 2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV). 2023;:3942-3951Liu Y; Matsoukas C; Strand F; Azizpour H; Smith K
- Preprint: MEDRXIV. 2022Zouzos A; Molovanovic A; Dembrower K; Strand F
- Review: JAMA NETWORK OPEN. 2022;5(12):e2244212Smith D; Sepehr S; Karakatsanis A; Strand F; Valachis A
- Preprint: ARXIV. 2022Garrucho L; Kushibar K; Osuala R; Diaz O; Catanese A; del Riego J; Bobowicz M; Strand F; Igual L; Lekadir K
- Preprint: ARXIV. 2022Liu Y; Matsoukas C; Strand F; Azizpour H; Smith K
- Preprint: ARXIV. 2021Sorkhei M; Liu Y; Azizpour H; Azavedo E; Dembrower K; Ntoula D; Zouzos A; Strand F; Smith K
- Preprint: RESEARCH SQUARE. 2021Yala A; Mikhael P; Lehman C; Lin G; Strand F; Wang Y-L; Hughes K; Satuluru S; Kim T; Banerjee I; Gichoya J; Trivedi H; Barzilay R
- Preprint: RESEARCH SQUARE. 2021Tamm C; Svensson AM; Beckman M; Strand F; Sköld M; Nyrén S; Kistner A
- Preprint: ARXIV. 2020Bendazzoli S; Brusini I; Astaraki M; Persson M; Yu J; Connolly B; Nyrén S; Strand F; Smedby Ö; Wang C
- Preprint: ARXIV. 2020Matsoukas C; Hernandez ABI; Liu Y; Dembrower K; Miranda G; Konuk E; Haslum JF; Zouzos A; Lindholm P; Strand F; Smith K
- Preprint: ARXIV. 2020Liu Y; Azizpour H; Strand F; Smith K
- Conference publication: CANCER RESEARCH. 2020;80(4):pd9-06-pd9-06Arasu VA; Kim P; Li W; Strand F; McHargue C; Jones E; Newitt D; Kornak J; Esserman L; Hylton N
- Book chapter: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2020: LECTURE NOTES IN COMPUTER SCIENCE. 2020;p. 230-240Liu Y; Azizpour H; Strand F; Smith K
- Doctoral thesis: 2018Strand F
- Conference publication: CANCER RESEARCH. 2018;78(4)He W; Bergman LE; Tornberg S; Strand F; Hall P; Czene K
- Conference publication: LIVER TRANSPLANTATION. 2004;10(6):C49Strand F; Ericzon BG; Marschall HU; Källén R; Nils A; Wernersson A; Nowak G
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Grants
- Swedish Research Council1 January 2025 - 31 December 2027Around 4% of middle-aged women have breast implants, the large majority for cosmetic reasons. There are rising concerns for adverse health effects of breast implants, yet comprehensive research efforts are needed to determine if the indicated health risks are preexisting or caused by the procedure itself. Therefore, the aim of the BRISK study is to leverage unique Swedish population-based data to determine risks of mental disorders, autoimmune disease, chronic fatigue, and other medical conditions among women with cosmetic breast implants. In this three-year project, we will identify 29 011 women with cosmetic breast implants through the Breast Implant Quality Register (operated 2014-22) and ongoing mammography studies (identified 2008-21), as well as ~5 000 women undergoing permanent removal of breast implants (1997-2022). By record linkage to the population-based Patient, Primary Care- and Prescription Registers, we will compare the rates of the studied health risks of women with breast implants to that of their full sisters and an age- and region matched cohort of women. We will assess pre-surgery rates of these conditions and take them into account when assessing post-surgery rates. Solid evidence on major health outcomes of breast implant surgery is currently lacking, leaving women considering this surgery option largely uninformed on long-term health effects. The BRISK study will provide valuable evidence for this patient group and health care policy worldwide.
- Swedish Research Council for Health Working Life and Welfare1 January 2025 - 31 December 2027Research problem and specific questions: Approximately 4% of middle-aged women in Sweden have breast implants, the large majority (~80%) for cosmetic reasons. At the same time there are rising concerns for adverse health effects, including reports of multiple adverse symptoms (‘breast implant illness’) as well as some psychiatric- and autoimmune conditions among women with breast implants. Yet, comprehensive research efforts are still needed to determine if these risks are preexisting or caused by the procedure itself. Therefore, the aim of the BRISK study is to leverage unique Swedish population-based data sources to determine pre- and post- implant procedure risks of: 1) mental disorders and psychotropic drug use2) autoimmune and chronic fatigue conditions3) sick-leave and disability pension among women with cosmetic breast implants. Data and method: We will identify 28 835 women with cosmetic breast implants through the Breast Implant Register (BRIMPN=20 779 operated 2014-22) and ongoing mammography studies (N=8 056 with breast implants, identified 2008-21). By record linkage to the population-based Patient, Primary Care- and Prescription Medicines Registers, and Databases for Health Insurance and Labor Market, we will compare the rates of psychiatric- and autoimmune conditions as well as sick leave and disability pension among women with breast implants to that of their full sisters and an age- and region matched cohort of women (1:10 unexposed women). We will assess pre-surgery rates of these conditions and take them into account when assessing the post-surgery rates of the studied health outcomes.Societal relevance and utilization: Solid evidence on major health outcomes associated with breast implant surgery is currently lacking, leaving women considering this surgery option largely uninformed on long-term health effects. This comprehensive investigation will provide valuable information for health care policy and the growing population of women with breast implants. Plan for project realization: We seek three years of funding for a post-doc, record linkages, database management and presentation of the results to stakeholders and the scientific community. Implementation of record linkages and preliminary analyses will be completed during the first year (2025), statistical analyses during the second year (2026), and publication of three scientific papers in leading international scientific journals by the end of the third year (2027).
- Swedish Research Council1 January 2023 - 31 December 2026Around 25% of all women who are diagnosed with breast cancer eventually die from the disease. The treatment of breast cancer patients can be improved. We have conducted retrospective studies demonstrating that AI models may reach radiologist-level performance for screening mammography. The proposed project is aiming at the diagnostic process following detection. I plan to develop AI models based on magnetic resonance imaging (MRI), which provide images richer in information compared to mammogrpahy.The project will leverage my postdoc experience with machine-learning models for breast MRI and my continued collaboration with KTH in terms of state-of-the-art AI models. In our joint AI model development for mammography, with KTH, we used convolutional neural networks. Recently, a new approach, vision transformer has been shown to be able to outperform the convolutional neural networks for image-based tasks. Therefore, my plan is to apply vision transformers to breast MRI images to address three important areas in the diagnostic process for breast cancer: image segmentation aiding radiologists to identify anatomic structures in the MRI imagesradiology-pathology correlation to ascertain that biopsies correlate with image findingstherapy response prediction to inform the choice of neoadjuvant therapy. The research will tie into a recently approved EU horizon project where we will gain access to a common pool of breast cancer imaging data, and for which I am the Swedish PI.
- Swedish Research Council1 January 2022 - 31 December 2025Purpose and aimsThis project aims to develop tools for prediction of response to neoadjuvant (pre-operative) therapy (NAT) and prognostication of post-surgery risk of recurrence in breast cancer. To this end, input from radiology, digital pathology, genomics and informative clinical variables will be integrated using a machine learning (ML)-based multi-modal fusion strategy. Project organisation, time plan and scientific methodsThree academic clinical trials and one population-based cohort of NAT (N=2500) will be used to train single-source predictive model priors that will be ensembled into integrative multi-omics predictive models. These will be validated externally in independent cohorts of ~3000 patients.The project will be divided into work packages (WP), corresponding to each of the data modalities. WP1 data and material collection (year 1-4)WP2-3 transcriptomics and genomics in tissue and blood (y 1-3)WP4 radiomics using mammography and magnetic resonance imaging (y 1-3)WP5 pathomics (y 1-3)WP6 model integration (y 3-4)WP7 external validation (y 4-5). ImportanceThe project will contribute with novel ML methodology for clinical medicine and a precision oncology solution for optimizing NAT selection and risk stratification that will lead to less over- and under treatment, sparing patients from unnecessary toxicities and reducing financial burden to healthcare systems, and ultimately improving prognosis for patients with breast cancer.
Employments
- Senior specialist, Radiology, Karolinska University Hospital, 2025-
- Affiliated to Research, Department of Oncology-Pathology, Karolinska Institutet, 2024-2027
Degrees and Education
- Docent, Karolinska Institutet, 2022
- Degree Of Doctor Of Philosophy, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2018
- University Medical Degree, Karolinska Institutet, 2008
- Master of Science, Engineering Physics, Lund University, 1995
Committee work
- Member, Scientific Advisory Committee of the International Breast Density Workshop, 2023-
Thesis evaluation
- Sarah Hickman, External thesis reviewer, University of Cambridge, 2022
Other expert reviewer/evaluation assignment
- Reviewer for international evaluations, Panel member and external reviewer, programme on High-Quality and Reliable Diagnostic, Treatment and Rehabilitation, The Research Council of Norway, 2017-2017