Conference Proceedings

@inproceedings{Tan2020,

title = {Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation},

author = {Jimin Tan and Bofei Zhang and Kyunghyun Cho and Gregory Chang and Cem M. Deniz},

editor = {Horst K. Hahn and Maciej A. Mazurowski},

doi = {10.1117/12.2551357},

year  = {2020},

date = {2020-03-16},

booktitle = {Medical Imaging 2020: Computer-Aided Diagnosis},

volume = {11314},

pages = {153-161},

publisher = {SPIE},

organization = {International Society for Optics and Photonics},

abstract = {Osteoarthritis (OA) is a chronic degenerative disorder of joints and is the most common reason leading to total knee joint replacement (TKR). In this paper, we implemented a semi-supervised learning approach based on Unsupervised Data Augmentation (UDA) along with valid perturbations for radiographs to enhance the performance of supervised TKR outcome prediction model. Our results suggest that the use of semi-supervised approach provides superior results compared to the supervised approach (AUC of 0.79 ± 0.04 vs 0.74 ± 0.04).},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Juras2019,

title = {A novel radiological texture analysis technique for the assessment of cartilage regeneration following GelrinC treatment},

author = {Vladimir Juras and Pavol Szomolanyi and Cem M Deniz and Siegfried Trattnig},

year  = {2019},

date = {2019-07-10},

booktitle = {Proceedings 15th World Congress, International Cartilage Regeneration & Joint Preservation Society, Vancouver, Canada},

pages = {18.4.9},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2019b,

title = {Total Knee Replacement Prediction Using Structural MRIs and 3D Convolutional Neural Networks},

author = {Tianyu Wang and Kevin Leung and Kyunghyun Cho and Gregory Chang and Cem M Deniz},

url = {https://openreview.net/pdf?id=B1lw7vS0tN},

year  = {2019},

date = {2019-07-08},

booktitle = {Proceedings of International Conference on Medical Imaging with Deep Learning, London},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kopanoglu2019,

title = {Implications of within-scan patient head motion on B1+ homogeneity and Specific Absorption Rate at 7T},

author = {Emre Kopanoglu and Alix Jean Deeley Plumley and M. Arcan Erturk and Cem M Deniz and Richard G. Wise},

url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/4686.html},

year  = {2019},

date = {2019-05-11},

booktitle = {Proceedings 27th Scientific Meeting, ISMRM, Montreal},

pages = {4686},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2019,

title = {3D Convolutional Networks to predict Total Knee Replacement using Structural MRI},

author = {Tianyu Wang and Kevin Leung and Kyunghyun Cho and Gregory Chang and Cem M Deniz},

url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/4880.html},

year  = {2019},

date = {2019-05-11},

booktitle = {Proceedings 27th Scientific Meeting, ISMRM, Montreal},

pages = {4880},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Gyftopoulos2019,

title = {MRI segmentation of the glenoid and humeral head using deep convolutional neural networks},

author = {Soterios Gyftopoulos and Tatiane Rodrigues and Cem M Deniz and J. Dublin and Natalia Gorelik},

doi = {10.1007/s00256-018-3131-1},

year  = {2019},

date = {2019-03-10},

booktitle = {Skeletal Radiol},

volume = {48},

pages = {479},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2018,

title = {3D Convolutional Networks for Prediction of Total Knee Replacement Using Structural MRI},

author = {Tianyu Wang and Kevin Leung and Kyunghyun Cho and Gregory Chang and Cem M Deniz},

url = {https://34.134.141.224/wp-content/uploads/2019/09/2018_ISMRM_MLII.pdf},

year  = {2018},

date = {2018-10-28},

booktitle = {Proceedings of the ISMRM Workshop on Machine Learning Part II, Washington DC},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Xiang2018b,

title = { 3D Convolutional Neural Networks for Proximal Femur Segmentation in MR Images},

author = {Siyuan Xiang and Gregory Chang and Stephen Honig and Kyunghyun Cho and Cem M Deniz},

url = {https://34.134.141.224/wp-content/uploads/2019/12/2018_Asilomar_Poster.pptx},

year  = {2018},

date = {2018-03-14},

booktitle = {Proceedings of the ISMRM Workshop on Machine Learning, Asilomar, CA.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Xiang2018,

title = {Fully Automatic Proximal Femur Segmentation in MR Images using 3D Convolutional Neural Networks},

author = {Siyuan Xiang and Gregory Chang and Stephen Honig and Kyunghyun Cho and Cem M Deniz},

url = {https://index.mirasmart.com/ISMRM2018/PDFfiles/3487.html},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings 26th Scientific Meeting, ISMRM, Paris},

pages = {3487},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Leung2018,

title = {Early Prediction of Total Knee Replacement using Structural MRI and 3D Deep Convolutional Neural Networks},

author = {Kevin Leung and Gregory Chang and Kyunghyun Cho and Cem M Deniz},

url = {https://index.mirasmart.com/ISMRM2018/PDFfiles/2744.html},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings 26th Scientific Meeting, ISMRM, Paris},

pages = {2744},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}