Adding seemingly uninformative labels helps in low data regimes. - Christos Matsoukas; Albert Bou I Hernandez; Yue Liu; Karin Dembrower; Gisele Miranda; Emir Konuk; Johan Fredin Haslum; Athanasios Zouzos; Peter Lindholm; Fredrik Strand; Kevin Smith 001 (ICML, 2020)

Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. - Yue Liu; Hossein Azizpour; Fredrik Strand; Kevin Smith 001 (MICCAI (6), 2020)

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). - Karin Dembrower; Peter Lindholm; Fredrik Strand (J. Digit. Imaging, 2020)

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. - Moein Sorkhei; Yue Liu; Hossein Azizpour; Edward Azavedo; Karin Dembrower; Dimitra Ntoula; Athanasios Zouzos; Fredrik Strand; Kevin Smith 001 (NeurIPS Datasets and Benchmarks, 2021)

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. - Lidia Garrucho; Kaisar Kushibar; Richard Osuala; Oliver Díaz; Alessandro Catanese; Javier del Riego; Maciej Bobowicz; Fredrik Strand; Laura Igual; Karim Lekadir (CoRR, 2022)

Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers. - Jonathan Karlsson; Fredrik Strand; Josef Bigün; Fernando Alonso-Fernandez; Kevin Hernandez-Diaz; Felix Nilsson (ICPRAM, 2023)

PatchDropout: Economizing Vision Transformers Using Patch Dropout. - Yue Liu; Christos Matsoukas; Fredrik Strand; Hossein Azizpour; Kevin Smith 001 (WACV, 2023)

RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement. - Hong Hui Yeoh; Andrea Liew; Raphael C.-W. Phan; Fredrik Strand; Kartini Rahmat; Tuong Linh Nguyen; John L. Hopper; Maxine Tan (CoRR, 2023)

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. - Lidia Garrucho; Claire-Anne Reidel; Kaisar Kushibar; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwozdziewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; et al. (CoRR, 2024)

Random Token Fusion for Multi-View Medical Diagnosis. - Jingyu Guo; Christos Matsoukas; Fredrik Strand; Kevin Smith 001 (CoRR, 2024)

Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy. - Arianna Bunnell; Dustin Valdez; Fredrik Strand; Yannik Glaser; Peter Sadowski; John A. Shepherd 002 (CoRR, 2024)

Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures. - Francesco Manigrasso; Rosario Milazzo; Alessandro Sebastian Russo; Fabrizio Lamberti; Fredrik Strand; Andrea Pagnani; Lia Morra (Medical Image Anal., 2025)

Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study. - Haiko Schurz; Klara Solander; Davida Åström; Fernando Cossío; Taeyang Choi; Magnus Dustler; Claes Lundström; Håkan Gustafsson; Sophia Zackrisson; Fredrik Strand (npj Digit. Medicine, 2025)