Mammographic phenotypes of breast cancer risk driven by breast anatomy. - Aimilia Gastounioti; Andrew Oustimov; Meng-Kang Hsieh; Lauren Pantalone; Emily F. Conant; Despina Kontos (Computer-Aided Diagnosis, 2017)

Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk. - Andrew Oustimov; Aimilia Gastounioti; Meng-Kang Hsieh; Lauren Pantalone; Emily F. Conant; Despina Kontos (Computer-Aided Diagnosis, 2017)

Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation. - Dong Wei 004; Susan Weinstein; Meng-Kang Hsieh; Lauren Pantalone; Mitchell D. Schnall; Despina Kontos (Image Processing, 2017)

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. - Nariman Jahani; Eric A. Cohen; Meng-Kang Hsieh; Susan P. Weinstein; Lauren Pantalone; Christos Davatzikos; Despina Kontos (Computer-Aided Diagnosis, 2018)

Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort. - Aimilia Gastounioti; Meng-Kang Hsieh; Lauren Pantalone; Emily F. Conant; Despina Kontos (Image Processing, 2018)

Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ. - Ruvini Navaratna; Aimilia Gastounioti; Meng-Kang Hsieh; Lauren Pantalone; Marie Shelanski; Emily F. Conant; Despina Kontos (Computer-Aided Diagnosis, 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. - Dong Wei 004; Susan Weinstein; Meng-Kang Hsieh; Lauren Pantalone; Despina Kontos (IEEE Trans. Biomed. Eng., 2019)

Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis. - 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; et al. (Computer-Aided Diagnosis, 2020)

Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study. - 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 (Computer-Aided Diagnosis, 2020)

O-Net: An Overall Convolutional Network for Segmentation Tasks. - Omid Haji Maghsoudi; Aimilia Gastounioti; Lauren Pantalone; Christos Davatzikos; Spyridon Bakas; Despina Kontos (MLMI@MICCAI, 2020)

Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. - 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 (CoRR, 2020)

Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. - 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 (Medical Image Anal., 2021)

Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns. - Babak Haghighi; Warren B. Gefter; Lauren Pantalone; Despina Kontos; Eduardo Jose Mortani Barbosa Jr. (CoRR, 2022)

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. - 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 (Computer-Aided Diagnosis, 2023)