Lauren Pantalone

14 papers B 2Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2023 — conf
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.
Computer-Aided Diagnosis
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
2022 J jnl
Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns.
CoRR
Babak Haghighi, Warren B. Gefter, Lauren Pantalone, Despina Kontos, Eduardo Jose Mortani Barbosa Jr.
2021 J jnl
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
Medical Image Anal.
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
2020 — conf
Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study.
Computer-Aided Diagnosis
Babak Haghighi, Peter B. Noël, Eric A. Cohen, Lauren Pantalone, Anil Vachani, Katharine A. Rendle, Jocelyn Wainwright, Chelsea Saia, Eduardo Jose Mortani Barbosa Jr., Despina Kontos
2020 J jnl
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
CoRR
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
2020 — conf
O-Net: An Overall Convolutional Network for Segmentation Tasks.
MLMI@MICCAI
Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Christos Davatzikos, Spyridon Bakas, Despina Kontos
2020 — conf
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis.
Computer-Aided Diagnosis
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
2019 — conf
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ.
Computer-Aided Diagnosis
Ruvini Navaratna, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Marie Shelanski, Emily F. Conant, Despina Kontos
2019 J jnl
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.
Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Despina Kontos
2018 — conf
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.
Computer-Aided Diagnosis
Nariman Jahani, Eric A. Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos, Despina Kontos
2018 B conf
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort.
Image Processing
Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos
2017 — conf
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk.
Computer-Aided Diagnosis
Andrew Oustimov, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos
2017 — conf
Mammographic phenotypes of breast cancer risk driven by breast anatomy.
Computer-Aided Diagnosis
Aimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos
2017 B conf
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation.
Image Processing
Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Mitchell D. Schnall, Despina Kontos