An Integrated CT-Imaging, CAD-Based System for Orthopedic Surgery. - Chi-haur Wu; S. David Stulberg; John Papaioannou; Hsiang-Yun Huang; Kao-Shing Hwang; Tom Kienzle (ICRA (1), 1993)

Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms. - Robert M. Nishikawa; John Papaioannou; Stephen A. Collins (Image Processing, 1996)

Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases. - Robert M. Nishikawa; Maryellen L. Giger; Dulcy E. Wolverton; Robert A. Schmidt; Christopher E. Comstock; John Papaioannou; Stephen A. Collins; Kunio Doi (Digital Mammography / IWDM, 1998)

Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications. - Yulei Jiang; Robert M. Nishikawa; John Papaioannou (Image Processing, 1998)

Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. - Darrin C. Edwards; John Papaioannou; Yulei Jiang; Matthew A. Kupinski; Robert M. Nishikawa (Image Processing, 2001)

Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications. - Robert M. Nishikawa; Maria Fernanda Salfity; Yulei Jiang; John Papaioannou (Image Processing, 2002)

Potential improvement of computerized classification for malignant versus benign mammographic microcalcification clusters with the use of special views. - Sophie Paquerault; Laura M. Yarusso; John Papaioannou (Image Processing, 2004)

Learning the Greek Language via Greeklish. - Alexandros Karakos; John Papaioannou; Anastasia Georgiadou (IxD&A, 2012)

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. - Heather M. Whitney; Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (IWBI, 2018)

Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. - Karen Drukker; Rachel Anderson; Alexandra Edwards; John Papaioannou; Fred Pineda; Hiroyuki Abe; Gregory Karzcmar; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. - Heather M. Whitney; Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. - Karen Drukker; Iman El-Bawab; Alexandra Edwards; Christopher Doyle; John Papaioannou; Kirti Kulkarni; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. - Qiyuan Hu; Heather M. Whitney; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. - Heather M. Whitney; Yu Ji; Hui Li 024; Alexandra Edwards; John Papaioannou; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. - Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (Computer-Aided Diagnosis, 2020)