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ORCIDGeorgios Z. Papadakis
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Journal Articles
- 2022
[j5]Syed Muhammad Anwar, Ismail Irmakci
, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci:
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. 94(5): 497-510 (2022)- 2019
- [j4]Eleftherios Kontopodis, Maria Venianaki, Georgios C. Manikis, Katerina Nikiforaki, Ovidio Salvetti, Efrosini Papadaki, Georgios Z. Papadakis, Apostolos Karantanas, Kostas Marias:
Investigating the Role of Model-Based and Model-Free Imaging Biomarkers as Early Predictors of Neoadjuvant Breast Cancer Therapy Outcome. IEEE J. Biomed. Health Informatics 23(5): 1834-1843 (2019) - 2018
- [j3]Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [j2]Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci:
Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. 46: 229-243 (2018) - 2017
- [j1]Sarfaraz Hussein, Aileen Green, Arjun Watane, David Reiter, Xinjian Chen, Georgios Z. Papadakis, Bradford J. Wood, Aaron Cypess, Medhat M. Osman, Ulas Bagci:
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. IEEE Trans. Medical Imaging 36(3): 734-744 (2017)
Conference and Workshop Papers
- 2019
- [c3]Georgios C. Manikis, Maria Venianaki, Iraklis Skepasianos, Georgios Z. Papadakis, Thomas G. Maris, Sofia Agelaki, Apostolos Karantanas, Kostas Marias:
Scale-Space DCE-MRI Radiomics Analysis Based on Gabor Filters for Predicting Breast Cancer Therapy Response. BIBE 2019: 994-1001 - [c2]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. MICCAI (5) 2019: 101-109 - 2018
- [c1]Eleftherios Kontopodis, Georgios C. Manikis, Iraklis Skepasianos, K. Tzagkarakis, Katerina Nikiforaki, Georgios Z. Papadakis, Thomas G. Maris, Efrosini Papadaki, Apostolos Karantanas, Kostas Marias:
DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response. IST 2018: 1-6
Informal and Other Publications
- 2019
- [i2]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. CoRR abs/1907.00437 (2019) - 2015
- [i1]Sarfaraz Hussein, Aileen Green, Arjun Watane, Georgios Z. Papadakis, Medhat M. Osman, Ulas Bagci:
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes. CoRR abs/1512.04958 (2015)
Coauthor Index
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