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The Break-Even Point on the Optimization Trajectories of Deep Neural Networks

, , , , , , and . International Conference on Learning Representations, (2020)

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The Break-Even Point on the Optimization Trajectories of Deep Neural Networks, , , , , , and . International Conference on Learning Representations, (2020)Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening., , , , , , , , , and 22 other author(s). IEEE Trans. Medical Imaging, 39 (4): 1184-1194 (2020)An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects., , , , , , , , , and 12 other author(s). IEEE Trans. Medical Imaging, 43 (1): 351-365 (January 2024)Screening Mammogram Classification with Prior Exams., , , , , , , and . CoRR, (2019)Classifier-agnostic saliency map extraction., , and . Comput. Vis. Image Underst., (2020)Improving localization-based approaches for breast cancer screening exam classification., , , , , , and . CoRR, (2019)Towards dynamic multi-modal phenotyping using chest radiographs and physiological data., , and . CoRR, (2021)Classifier-Agnostic Saliency Map Extraction., , and . AAAI, page 10087-10088. AAAI Press, (2019)3D-GMIC: an efficient deep neural network to find small objects in large 3D images., , , , , , , , , and 12 other author(s). CoRR, (2022)fastMRI: An Open Dataset and Benchmarks for Accelerated MRI., , , , , , , , , and 13 other author(s). CoRR, (2018)