Lauren Pantalone
According to our database1,
Lauren Pantalone
authored at least 14 papers
between 2017 and 2023.
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Bibliography
2023
A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns.
CoRR, 2022
2021
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
Medical Image Anal., 2021
2020
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
CoRR, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line Detection.
IEEE Trans. Biomed. Eng., 2019
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017