Peter Lindholm

Adding Seemingly Uninformative Labels Helps in Low Data Regimes

Yue Liu, Johan Fredin Haslum, Gisele Miranda, 2020, ICML.

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)

Fredrik Strand, Peter Lindholm, Karin Dembrower, 2019, Journal of Digital Imaging.

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

Berkman Sahiner, Jaime S. Cardoso, Thomas Yu, 2020, JAMA network open.

Primary diagnosis of pulmonary embolism with unenhanced MRI for patients not eligible for CTPA: Clinical outcome

Peter Lindholm, Sven Nyrén, Peter Lindholm, 2019, European journal of radiology open.

Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction.

Kevin Smith, Martin Eklund, Hossein Azizpour, 2019, Radiology.