Datadriven Bröstradiologi – Fredrik Strands forskargrupp

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: 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(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.

Cossío F; Schurz H; Engström M; Barck-Holst C; Tsirikoglou A; Lundström C; Gustafsson H; Smith K; Zackrisson S; 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

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

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: 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; Wåhlin 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; 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