John Papaioannou

According to our database, John Papaioannou authored at least 15 papers between 1993 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger

Proceedings of the Medical Imaging 2019: 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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

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

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2012

Learning the Greek Language via Greeklish.

Alexandros Karakos, John Papaioannou, Anastasia Georgiadou

IxD&A, 2012

2004

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

Proceedings of the Medical Imaging 2004: Image Processing, 2004

2002

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

Proceedings of the Medical Imaging 2002: Image Processing, 2002

2001

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

Proceedings of the Medical Imaging 2001: Image Processing, 2001

1998

Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications.

Yulei Jiang, Robert M. Nishikawa, John Papaioannou

Proceedings of the Medical Imaging 1998: Image Processing, 1998

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

Proceedings of the Digital Mammography, 1998

1996

Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms.

Robert M. Nishikawa, John Papaioannou, Stephen A. Collins

Proceedings of the Medical Imaging 1996: Image Processing, 1996

1993

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

Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993