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Dania Daye
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2020 – today
- 2024
- [i1]Satvik Tripathi, Liam Mutter, Meghana Muppuri, Suhani Dheer, Emiliano Garza-Frias, Komal Awan, Aakash Jha, Michael Dezube, Azadeh Tabari, Christopher P. Bridge, Dania Daye:
PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. CoRR abs/2403.00788 (2024)
2010 – 2019
- 2015
- [j2]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Elizabeth S. McDonald, Mark Rosen, Carolyn Mies, Michael D. Feldman, Despina Kontos:
Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. IEEE Trans. Biomed. Eng. 62(6): 1585-1594 (2015) - 2014
- [c4]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Mark Rosen, Michael D. Feldman, Despina Kontos:
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. Medical Imaging: Computer-Aided Diagnosis 2014: 90350X - 2013
- [j1]Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Mark A. Rosen, Despina Kontos:
A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk. IEEE Trans. Medical Imaging 32(4): 637-648 (2013) - [c3]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos:
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. MICCAI (2) 2013: 295-302 - 2011
- [c2]Dania Daye, Ezra Bobo, Bethany Baumann, Antonios Ioannou, Emily F. Conant, Andrew D. A. Maidment, Despina Kontos:
Mammographic parenchymal texture as an imaging marker of hormonal activity: a comparative study between pre- and post-menopausal women. Medical Imaging: Computer-Aided Diagnosis 2011: 79631N - [c1]Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos:
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. MICCAI (3) 2011: 546-553
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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