John Papaioannou

Publication Activity (10 Years)

Years Active: 1993-2020
Publications (10 Years): 7

Top Topics

Computer Aided Detection

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. Medical Imaging: Computer-Aided Diagnosis (2020)
Karen Drukker, Iman El-Bawab, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L. Giger
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Medical Imaging: Computer-Aided Diagnosis (2019)
Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. Medical Imaging: Computer-Aided Diagnosis (2019)
Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. Medical Imaging: Computer-Aided Diagnosis (2019)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI (2018)
Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Hiroyuki Abe, Gregory Karzcmar, Maryellen L. Giger
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. Medical Imaging: Computer-Aided Diagnosis (2018)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Medical Imaging: Computer-Aided Diagnosis (2018)
Alexandros Karakos, John Papaioannou, Anastasia Georgiadou
Learning the Greek Language via Greeklish. IxD&A 15 (2012)
Sophie Paquerault, Laura M. Yarusso, John Papaioannou
Potential improvement of computerized classification for malignant versus benign mammographic microcalcification clusters with the use of special views. Medical Imaging: Image Processing (2004)
Robert M. Nishikawa, Maria Fernanda Salfity, Yulei Jiang, John Papaioannou
Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications. Medical Imaging: Image Processing (2002)
Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. Medical Imaging: Image Processing (2001)
Yulei Jiang, Robert M. Nishikawa, John Papaioannou
Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications. Medical Imaging: Image Processing (1998)
Robert M. Nishikawa, Maryellen L. Giger, Dulcy E. Wolverton, Robert A. Schmidt, Christopher E. Comstock, John Papaioannou, Stephen A. Collins, Kunio Doi
Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases. Digital Mammography / IWDM (1998)
Robert M. Nishikawa, John Papaioannou, Stephen A. Collins
Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms. Medical Imaging: Image Processing (1996)
Chi-haur Wu, S. David Stulberg, John Papaioannou, Hsiang-Yun Huang, Kao-Shing Hwang, Tom Kienzle
An Integrated CT-Imaging, CAD-Based System for Orthopedic Surgery. ICRA (1) (1993)