Datadriven Bröstradiologi – Fredrik Strands forskargrupp

Publikationer

Utvalda publikationer

• 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
• 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; 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 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
• Conference publication: 2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV). 2023;:3942-3951

  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 GG; Strand F; Wan Y-L; Hughes K; Satuluru S; Kim T; Banerjee I; Gichoya J; Trivedi H; Barzilay R
• 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
• 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: 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: 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: 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: 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: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2020: 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
• 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

Medarbetare och kontakt

Gruppledare

• 

  Fredrik Strand

  Anknuten till Forskning | Docent

  E-postadress fredrik.strand@ki.se

Alla medarbetare i gruppen

• Lina Cao Zhang

  Extern Stipendiat

  E-postadress lina.cao.zhang@ki.se
• Taeyang Choi

  Forskningsingenjör

  E-postadress taeyang.choi@ki.se
• Fernando Cossio Ramirez

  Forskningsingenjör

  E-postadress fernando.cossio.ramirez@ki.se
• Karin Dembrower

  Anknuten till Forskning

  E-postadress karin.dembrower@ki.se
• Jose Luis Diaz Resendiz

  Doktorand

  E-postadress jose.luis.diaz.resendiz@ki.se
• Luis Carlos Garcia Ramos

  Forskningsingenjör

  E-postadress luis.carlos.garcia.ramos@ki.se
• Sarah Hickman

  Postdoktorala Studier

  E-postadress sarah.hickman@ki.se
• Gurwinder Kaur

  Doktorand

  E-postadress gurwinder.kaur@ki.se
• Emir Konuk

  Projektledare

  E-postadress emir.konuk@ki.se
• 

  Mattie Salim

  Postdoktorala Studier

  E-postadress mattie.salim@ki.se
• Haiko Schurz

  Postdoktor

  E-postadress haiko.schurz@ki.se
• 

  Fredrik Strand

  Anknuten till Forskning | Docent

  E-postadress fredrik.strand@ki.se
• Apostolia Tsirikoglou

  Forskningsspecialist

  E-postadress apostolia.tsirikoglou@ki.se
• 

  Yanlu Wang

  Anknuten till Forskning

  E-postadress yanlu.wang@ki.se
• 

  Athanasios Zouzos

  Doktorand

  E-postadress athanasios.zouzos@ki.se

Besöksadress

Karolinska University Hospital, L2:03, Gävlegatan 68, Solna, 17164

Postadress

Karolinska University Hospital, L2:03, att: Fredrik Strand, Solna, 171 76, Sweden