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High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection., , , , , , , , , and . CoRR, (2022)CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers., , , , , and . CoRR, (2022)Adding seemingly uninformative labels helps in low data regimes., , , , , , , , , and 1 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 6775-6784. PMLR, (2020)RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement., , , , , , , and . CoRR, (2023)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)., , and . J. Digit. Imaging, 33 (2): 408-413 (2020)PatchDropout: Economizing Vision Transformers Using Patch Dropout., , , , and . CoRR, (2022)Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models., , , and . MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 230-240. Springer, (2020)PatchDropout: Economizing Vision Transformers Using Patch Dropout., , , , and . WACV, page 3942-3951. IEEE, (2023)Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers., , , , , and . ICPRAM, page 395-402. SCITEPRESS, (2023)