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Lauren Pantalone
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2020 – today
- 2023
- [c10]Chunrui Zou
, Walter C. Mankowski, Lauren Pantalone, Shefali Setia Verma, Eduardo Jose Mortani Barbosa Jr., Tessa S. Cook, Peter B. Noël, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Sharyn Katz, Despina Kontos:
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. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [i2]Babak Haghighi, Warren B. Gefter, Lauren Pantalone, Despina Kontos, Eduardo Jose Mortani Barbosa Jr.:
Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns. CoRR abs/2206.09766 (2022) - 2021
- [j2]Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher G. Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey J. Winham, Emily F. Conant, Celine M. Vachon, Despina Kontos:
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. Medical Image Anal. 73: 102138 (2021) - 2020
- [c9]Raymond Joseph Acciavatti, Eric A. Cohen, Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Meng-Kang Hsieh, Emily F. Conant, Christopher G. Scott, Stacey J. Winham, Karla Kerlikowske, Celine Vachon, Andrew D. A. Maidment, Despina Kontos:
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis. Medical Imaging: Computer-Aided Diagnosis 2020 - [c8]Babak Haghighi, Peter B. Noël, Eric A. Cohen, Lauren Pantalone, Anil Vachani, Katharine A. Rendle
Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study. Medical Imaging: Computer-Aided Diagnosis 2020 - [c7]Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Christos Davatzikos, Spyridon Bakas, Despina Kontos:
O-Net: An Overall Convolutional Network for Segmentation Tasks. MLMI@MICCAI 2020: 199-209 - [i1]Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher G. Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey J. Winham, Emily F. Conant, Celine M. Vachon, Despina Kontos:
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. CoRR abs/2011.08001 (2020)
2010 – 2019
- 2019
- [j1]Dong Wei
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. 66(6): 1567-1579 (2019) - [c6]Ruvini Navaratna, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Marie Shelanski, Emily F. Conant, Despina Kontos:
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ. Medical Imaging: Computer-Aided Diagnosis 2019: 109502K - 2018
- [c5]Nariman Jahani, Eric A. Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos, Despina Kontos:
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. Medical Imaging: Computer-Aided Diagnosis 2018: 105752S - [c4]Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort. Medical Imaging: Image Processing 2018: 105742H - 2017
- [c3]Andrew Oustimov, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk. Medical Imaging: Computer-Aided Diagnosis 2017: 101340S - [c2]Aimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Mammographic phenotypes of breast cancer risk driven by breast anatomy. Medical Imaging: Computer-Aided Diagnosis 2017: 1013417 - [c1]Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Mitchell D. Schnall, Despina Kontos:
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation. Medical Imaging: Image Processing 2017: 1013314
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