John Papaioannou

15 papers B 5Journal 1Unranked 9
YearRankTypeTitle / Venue / Authors
2020 — conf
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy.
Computer-Aided Diagnosis
Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2019 — conf
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.
Computer-Aided Diagnosis
Karen Drukker, Iman El-Bawab, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L. Giger
2019 — conf
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.
Computer-Aided Diagnosis
Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger
2019 — conf
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer.
Computer-Aided Diagnosis
Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2018 — conf
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.
IWBI
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2018 — conf
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study.
Computer-Aided Diagnosis
Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Hiroyuki Abe, Gregory Karzcmar, Maryellen L. Giger
2018 — conf
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.
Computer-Aided Diagnosis
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2012 J jnl
Learning the Greek Language via Greeklish.
IxD&A
Alexandros Karakos, John Papaioannou, Anastasia Georgiadou
2004 B conf
Potential improvement of computerized classification for malignant versus benign mammographic microcalcification clusters with the use of special views.
Image Processing
Sophie Paquerault, Laura M. Yarusso, John Papaioannou
2002 B conf
Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications.
Image Processing
Robert M. Nishikawa, Maria Fernanda Salfity, Yulei Jiang, John Papaioannou
2001 B conf
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network.
Image Processing
Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa
1998 — conf
Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases.
Digital Mammography / IWDM
Robert M. Nishikawa, Maryellen L. Giger, Dulcy E. Wolverton, Robert A. Schmidt, Christopher E. Comstock, John Papaioannou, Stephen A. Collins, Kunio Doi
1998 B conf
Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications.
Image Processing
Yulei Jiang, Robert M. Nishikawa, John Papaioannou
1996 B conf
Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms.
Image Processing
Robert M. Nishikawa, John Papaioannou, Stephen A. Collins
1993 — conf
An Integrated CT-Imaging, CAD-Based System for Orthopedic Surgery.
ICRA (1)
Chi-haur Wu, S. David Stulberg, John Papaioannou, Hsiang-Yun Huang, Kao-Shing Hwang, Tom Kienzle