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: 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; Colón E; Eklund M; Strand F; ScreenTrustCAD Trial Consortium
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 MEDICAL IMAGING. 2023;10(6):061404

VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging.

Cossío F; Schurz H; Engström M; Barck-Holst C; Tsirikoglou A; Lundström C; Gustafsson H; Smith K; Zackrisson S; Strand F
Preprint: 2022;arXiv

PatchDropout: Economizing Vision Transformers Using Patch Dropout

Liu Y; Matsoukas C; Strand F; Azizpour H; Smith K
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 G; Strand F; Wan Y-L; Hughes K; Satuluru S; Kim T; Banerjee I; Gichoya J; Trivedi H; Barzilay R
Preprint: 2021;arXiv

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
Article: JAMA ONCOLOGY. 2020;6(10):1581-1588

External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms.

Salim M; Wåhlin E; Dembrower K; Azavedo E; Foukakis T; Liu Y; Smith K; Eklund M; Strand F
Article: 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; Wåhlin E; Liu Y; Salim M; Smith K; Lindholm P; Eklund M; Strand F
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
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
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
Book chapter: LECTURE NOTES IN COMPUTER SCIENCE. 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

Articles

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.

Viberg Johansson J; Dembrower K; Strand F; Grauman Å
Article: EUROPEAN RADIOLOGY. 2024;:1-10

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
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: 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
Journal 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 THE NATIONAL COMPREHENSIVE CANCER NETWORK. 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: 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: 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; Eghtedari M; Zamora KW; Woodard S; Umphrey HR; Nelson MT; Church AL; Bolan PJ; Kuritza T; Ward K; Morley K; Wolverton D; Fountain K; Lopez Paniagua D; Hardesty L; Brandt KR; McDonald ES; Rosen M; Kontos D; Abe H; Sheth D; Crane E; Dillis C; Sheth P; Hovanessian-Larsen L; Bang DH; Porter B; Oh KY; Jafarian N; Tudorica LA; Niell B; Drukteinis J; Newell MS; Giurescu ME; Berman E; Lehman CD; Partridge SC; Fitzpatrick KA; Borders MH; Yang WT; Dogan B; Goudreau SH; Chenevert T; Yau C; DeMichele A; Berry DA; Esserman LJ; Hylton NM
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; Sköld M; Nyrén S
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: 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; Sköld 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: 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; Lång K; Förnvik D; Sartor H; Mavaddat N; Easton D; Hall P
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: 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; ISPY2 investigators
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: 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; Jimeno Yepes A; Yohanandan S; Rabinovici-Cohen S; Yi D; Hoff B; Yu T; Chaibub Neto E; 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; and the DM DREAM Consortium; Mackey L; Cahoon J; Shen L; Sohn JH; Trivedi H; Shen Y; Buturovic L; Pereira JC; Cardoso JS; Castro E; Kalleberg KT; Pelka O; Nedjar I; Geras KJ; Nensa F; Goan E; Koitka S; Caballero L; Cox DD; Krishnaswamy P; Pandey G; Friedrich CM; Perrin D; Fookes C; Shi B; Cardoso Negrie G; Kawczynski M; Cho K; Khoo CS; Lo JY; Sorensen AG; Jung H
Article: ACTA RADIOLOGICA OPEN. 2019;8(12):2058460119880315-205846011988031

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; Törnberg 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; Törnberg 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;18(1):100

Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case study.

Strand F; Humphreys K; Cheddad A; Törnberg 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: 2023;JMIR Preprints

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: 2022;medRxiv

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: 2022;arXiv

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
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

Correction to: 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; Sköld M; Nyrén S
Preprint: 2021;Research Square

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: 2021;Research Square

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: 2020;arXiv

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: 2020;arXiv

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: 2020;arXiv

Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

Liu Y; Azizpour H; Strand F; Smith K
KI 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

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
Clinical Position, ME Radiologi, Karolinska Universitetssjukhuset

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

About me

Research

Teaching

Selected publications

Articles

All other publications

Grants

Employments

Degrees and Education

Committee work

Thesis evaluation

Other expert reviewer/evaluation assignment

News from KI

Events from KI