Carolyn Mies

According to our database, Carolyn Mies authored at least 8 papers between 2011 and 2015.

Collaborative distances:

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

2015

Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk.

Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Elizabeth S. McDonald, Mark Rosen, Carolyn Mies, Michael D. Feldman, Despina Kontos

IEEE Trans. Biomed. Eng., 2015

2014

Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk.

Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Mark Rosen, Michael D. Feldman, Despina Kontos

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013

A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk.

Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Mark A. Rosen, Despina Kontos

IEEE Trans. Medical Imaging, 2013

Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides.

Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Anant Madabhushi

IEEE Trans. Biomed. Eng., 2013

Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk.

Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images.

Ahmed Bilal Ashraf, Lilie Lin, Sara C. Gavenonis, Carolyn Mies, Eric Xanthopoulos, Despina Kontos

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011

A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model.

Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology.

Ajay Basavanhally, Shridar Ganesan, Natalie Shih, Carolyn Mies, Michael D. Feldman, John Tomaszewski, Anant Madabhushi

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011