Fredrik Strand

About me
Publications
Grants
CV
Public outreach and news

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 "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):2623-2630
AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trial
Salim 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):e232535
Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening
Liu Y; Sorkhei M; Dembrower K; Azizpour H; Strand F; Smith K
Article: RADIOLOGY. 2023;309(1):e222691
Optimizing the Pairs of Radiologists That Double Read Screening Mammograms
Gommers JJJ; Abbey CK; Strand F; Taylor-Phillips S; Jenkinson DJ; Larsen M; Hofvind S; Sechopoulos I; Broeders MJM
Article: THE LANCET: DIGITAL HEALTH. 2023;5(10):e703-e711
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
Dembrower K; Crippa A; Colon E; Eklund M
Review: RADIOLOGY. 2023;307(5):e222639
Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis:A Systematic Review and Meta-Analysis
Yoon 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):1732-1740
Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model
Yala 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):136-143
Optimizing risk-based breast cancer screening policies with reinforcement learning
Yala 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):eaba4373
Toward robust mammography-based models for breast cancer risk
Yala 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):327-333
Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening
Eriksson 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):1581-1588
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
Salim M; Wahlin E; Dembrower K; Azavedo E; Foukakis T; Liu Y; Smith K; Eklund M; Strand F
Article: RADIOLOGY. 2020;297(1):33-39
Range of Radiologist Performance in a Population-based Screening Cohort of 1 Million Digital Mammography Examinations
Salim M; Dembrower K; Eklund M; Lindholm P; Strand F
Article: THE LANCET: DIGITAL HEALTH. 2020;2(9):e468-e474
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study
Dembrower K; Wahlin E; Liu Y; Salim M; Smith K; Lindholm P; Eklund M; Strand F
Article: RADIOLOGY. 2020;294(2):265-272
Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction
Dembrower K; Liu Y; Azizpour H; Eklund M; Smith K; Lindholm P; Strand F

Articles

Article: MEDICAL DECISION MAKING. 2024;44(7):828-842
Modeling Radiologists' Assessments to Explore Pairing Strategies for Optimized Double Reading of Screening Mammograms
Gommers JJJ; Abbey CK; Strand F; Taylor-Phillips S; Jenkinson DJ; Larsen M; Hofvind S; Broeders MJM; Sechopoulos I
Article: MEDICAL IMAGE ANALYSIS. 2024;99:103320
Mammography classification with multi-view deep learning techniques: and transformer-based architectures
Manigrasso F; Milazzo R; Russo AS; Lamberti F; Strand F; Pagnani A; Morra L
Article: EUROPEAN RADIOLOGY. 2024;34(8):5415-5424
Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study
Al-Bazzaz H; Janicijevic M; Strand F
Journal article: CANCER RESEARCH. 2024;84(9_Supplement):po4-07-03-po4-07-03
Abstract PO4-07-03: Machine learning breast cancer risk prediction using sequential past mammograms - a pilot study
Leong 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):3449
Abstract 3449: Is AI-enhanced breast ultrasound ready for breast cancer screening in low-resource environments? A systematic review
Bunnell A; Valdez D; Strand F; Glaser Y; Sadowski P; Shepherd JA
Article: BMJ OPEN. 2024;14(2):e084014
Women's perceptions and attitudes towards the use of AI in mammography in Sweden: a qualitative interview study
Johansson JV; Dembrower K; Strand F; Grauman A
Article: BRITISH JOURNAL OF RADIOLOGY. 2023;96(1151):20230210
Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography
Salim M; Dembrower K; Eklund M; Smith K; Strand F
Article: JMIR AI. 2023;2:e48123
Effect of Benign Biopsy Findings on an Artificial Intelligence-Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study.
Zouzos A; Milovanovic A; Dembrower K; Strand F
Article: LAKARTIDNINGEN. 2023;120:23065
Så kan AI valideras för klinisk implementering.
Strand F; Zackrisson S; Gustafsson H
Article: JOURNAL OF MEDICAL IMAGING. 2023;10(Suppl 2):S22405
Implications for downstream workload based on calibrating an artificial intelligence detection algorithm by standalone-reader or combined-reader sensitivity matching
Dembrower K; Salim M; Eklund M; Lindholm P; Strand F
Article: JOURNAL OF MEDICAL IMAGING. 2023;10(6):061404
VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging
Cossio F; Schurz H; Engstrom M; Barck-Holst C; Tsirikoglou A; Lundstrom C; Gustafsson H; Smith K; Zackrisson S; Strand F
Article: JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK : JNCCN. 2023;21(2):143-152.e4
Factors Associated With False-Positive Recalls in Mammography Screening
Mao X; He W; Humphreys K; Eriksson M; Holowko N; Strand F; Hall P; Czene K
Article: FRONTIERS IN ONCOLOGY. 2022;12:1044496
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Garrucho 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):295-308
Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response
Onishi 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: 2021
Optimizing the pairs of radiologists that double read screening mammograms
Gommers J; Abbey C; Strand F; Broeders M; Sechopoulos I
Article: BMC NEPHROLOGY. 2021;22(1):297
Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for COVID-19
Kistner A; Tamm C; Svensson AM; Beckman MO; Strand F; Skold M; Nyren S
Article: FRONTIERS IN MEDICINE. 2021;8:666723
Widespread Parenchymal Abnormalities and Pulmonary Embolism on Contrast-Enhanced CT Predict Disease Severity and Mortality in Hospitalized COVID-19 Patients
Jalde FC; Beckman MO; Svensson AM; Bell M; Skold M; Strand F; Nyren S; Kistner A
Article: ACTA RADIOLOGICA. 2020;61(12):1600-1607
The association between breast cancer risk factors and background parenchymal enhancement at dynamic contrast-enhanced breast MRI
Hellgren R; Saracco A; Strand F; Eriksson M; Sundbom A; Hall P; Dickman PW
Article: NPJ BREAST CANCER. 2020;6(1):63
Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL
Li 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):352-360
Predictive Value of Breast MRI Background Parenchymal Enhancement for Neoadjuvant Treatment Response among HER2-Patients
Arasu 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):101-110
Comparison of Segmentation Methods in Assessing Background Parenchymal Enhancement as a Biomarker for Response to Neoadjuvant Therapy
Nguyen 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):408-413
A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks-the Cohort of Screen-Aged Women (CSAW)
Dembrower K; Lindholm P; Strand F
Article: JAMA NETWORK OPEN. 2020;3(3):e200265
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Schaffter 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):2058460119880315
The future of breast cancer screening: what do participants in a breast cancer screening program think about automation using artificial intelligence?
Jonmarker O; Strand F; Brandberg Y; Lindholm P
Article: BREAST. 2019;46:58-63
Breast cancer imaging - A rapidly evolving discipline
Strand F; Zackrisson S
Article: MEDICAL PHYSICS. 2019;46(3):1309-1316
Derived mammographic masking measures based on simulated lesions predict the risk of interval cancer after controlling for known risk factors: a case-case analysis
Hinton 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):24
Discontinuation of adjuvant hormone therapy among breast cancer patients not previously attending mammography screening
He W; Eriksson L; Tornberg S; Strand F; Hall P; Czene K
Article: BREAST CANCER RESEARCH. 2019;21(1):8
Localized mammographic density is associated with interval cancer and large breast cancer: a nested case-control study
Strand F; Azavedo E; Hellgren R; Humphreys K; Eriksson M; Shepherd J; Hall P; Czene K
Article: BREAST CANCER RESEARCH. 2018;20(1):31
Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
Strand 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-p6-08-20
Abstract P6-08-20: Non-adherers of mammography screening: Delayed surgery, early discontinuation of adjuvant hormone therapy, and worse breast cancer outcomes
He W; Bergman L; Törnberg S; Strand F; Hall P; Czene K
Article: INTERNATIONAL JOURNAL OF CANCER. 2017;140(1):34-40
Longitudinal fluctuation in mammographic percent density differentiates between interval and screen-detected breast cancer.
Strand 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):100
Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case study
Strand F; Humphreys K; Cheddad A; Tornberg S; Azavedo E; Shepherd J; Hall P; Czene K
Article: NEUROPSYCHOLOGIA. 2008;46(11):2668-2682
Common and unique components of inhibition and working memory: An fMRI, within-subjects investigation
McNab F; Leroux G; Strand F; Thorell L; Bergman S; Klingberg T
Article: BRAIN RESEARCH. 2008;1212:48-54
Phonological working memory with auditory presentation of pseudo-words - An event related fMRI Study
Strand F; Forssberg H; Klingberg T; Norrelgen F
Show more

All other publications

Preprint: ARXIV. 2024
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations
Garrucho L; Reidel C-A; Kushibar K; 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-6-64
AI lesion risk score at different exposure settings
Tingberg A; Dahlblom V; Bakic P; Schurz H; Strand F; Zackrisson S; Dustler M
Preprint: JMIR PREPRINTS. 2023
Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study (Preprint)
Zouzos A; Milovanovic A; Dembrower K; Strand F
Conference publication: 2023;00:3942-3951
PatchDropout: Economizing Vision Transformers Using Patch Dropout
Liu Y; Matsoukas C; Strand F; Azizpour H; Smith K
Preprint: MEDRXIV. 2022
Benign biopsy effect on artificial intelligence cancer detector in screening mammography – a retrospective study
Zouzos A; Molovanovic A; Dembrower K; Strand F
Review: JAMA NETWORK OPEN. 2022;5(12):e2244212
Yield of Surveillance Imaging After Mastectomy With or Without Reconstruction for Patients With Prior Breast Cancer A Systematic Review and Meta-analysis
Smith D; Sepehr S; Karakatsanis A; Strand F; Valachis A
Preprint: ARXIV. 2022
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Garrucho L; Kushibar K; Osuala R; Diaz O; Catanese A; del Riego J; Bobowicz M; Strand F; Igual L; Lekadir K
Preprint: ARXIV. 2022
PatchDropout: Economizing Vision Transformers Using Patch Dropout
Liu Y; Matsoukas C; Strand F; Azizpour H; Smith K
Preprint: ARXIV. 2021
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
Sorkhei M; Liu Y; Azizpour H; Azavedo E; Dembrower K; Ntoula D; Zouzos A; Strand F; Smith K
Editorial comment: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY. 2021;18(11):1564-1565
A Call for Controlled Validation Data Sets: Promoting the Safe Introduction of Artificial Intelligence in Breast Imaging
Strand F; Patel BK; Allen B
Corrigendum: BMC NEPHROLOGY. 2021;22(1):326
Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for COVID-19 (vol 22, 297, 2021)
Kistner A; Tamm C; Svensson AM; Beckman MO; Strand F; Skold M; Nyren S
Preprint: RESEARCH SQUARE. 2021
Optimizing risk-based breast cancer screening policies with reinforcement learning
Yala 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. 2021
Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for Covid-19
Tamm C; Svensson AM; Beckman M; Strand F; Sköld M; Nyrén S; Kistner A
Preprint: ARXIV. 2020
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT
Bendazzoli S; Brusini I; Astaraki M; Persson M; Yu J; Connolly B; Nyrén S; Strand F; Smedby Ö; Wang C
Preprint: ARXIV. 2020
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Matsoukas C; Hernandez ABI; Liu Y; Dembrower K; Miranda G; Konuk E; Haslum JF; Zouzos A; Lindholm P; Strand F; Smith K
Preprint: ARXIV. 2020
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models
Liu Y; Azizpour H; Strand F; Smith K
Conference publication: CANCER RESEARCH. 2020;80(4):pd9-06-pd9-06
Additive benefit of MRI background parenchymal enhancement (BPE) to an MRI tumor volume model for predicting pathologic complete response (pCR) to neoadjuvant treatment in ISPY2
Arasu 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 (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2020;p. 230-240
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models
Liu Y; Azizpour H; Strand F; Smith K
Thesis / dissertation: 2018
Determinants of interval cancer and tumor size among breast cancer screening participants
Strand, Fredrik
Conference publication: CANCER RESEARCH. 2018;78(4)
Non-adherers of mammography screening: Delayed surgery, early discontinuation of adjuvant hormone therapy, and worse breast cancer outcomes
He W; Bergman LE; Tornberg S; Strand F; Hall P; Czene K
Conference publication: LIVER TRANSPLANTATION. 2004;10(6):C49
Oral pretreatment of donors with UDCA results in an enrichment of UDCA in the portal vein and in the bile
Strand F; Ericzon BG; Marschall HU; Källén R; Nils A; Wernersson A; Nowak G
Show more

Grants

Developing machine learning models for MRI-based precision medicine for breast cancer
Swedish Research Council
1 January 2023 - 31 December 2026
Integrative digital diagnostics for therapy optimization in early breast cancer
Swedish Research Council
1 January 2022 - 31 December 2025

Employments

Affiliated to Research, Department of Oncology-Pathology, Karolinska Institutet, 2021-2024

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

Supervisor

Evripidis Kapanidis, 2023

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

About me

Research

Teaching

Selected publications

Articles

All other publications

Grants

Employments

Degrees and Education

Supervisor

Committee work

Thesis evaluation

Other expert reviewer/evaluation assignment

News from KI

Events from KI