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Kohli, M., Morrison, J. J., Wawira, J., Morgan, M. B., & Hostetter, J., Genereaux, B., Hussain, M., Langer S. G. (2017). Creation and curation of the society of imaging informatics in medicine hackathon dataset. Journal of Digital Imaging, 1-4. DOI:10.1007/s10278-017-0003-5
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Golan, R. (2018). DeepCADe: A deep learning architecture for the detection of lung nodules in CT scans. (link to thesis)
Großmann, P. B. H. J. Defining the biological and clinical basis of radiomics: towards clinical imaging biomarkers. Datawyse / Universitaire Pers Maastricht 2018. DOI: 10.26481/dis.20180308pg (link to thesis)
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Androutsou, T. Clinical Decision Support System for Lung Cancer Diagnosis by analysis of thoracic CT images. Carrier NTUA, Department of Electrical and Computer Engineering 2017. (link to thesis)
- Emirzade, Erkan. A COMPUTER AIDED DIAGNOSIS SYSTEM FOR LUNG CANCER DETECTION USING SVM. The Graduate School Of Applied Sciences Of Near East University, 2016. (link to thesis)
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Albalooshi FA. Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments. University of Dayton; 2015. (link to thesis)
Camlica Z. Image Area Reduction for Efficient Medical Image Retrieval. Waterloo, Ontario, Canada,: University of Waterloo; 2015. (link to thesis)
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Karnayana PM. Radiogenomic correlation for prognosis in patients with glioblastoma multiformae. San Diego State University; 2013. (link to thesis)
Nabizadeh, N. Automated Brain Lesion Detection and Segmentation Using Magnetic Resonance Images. Electrical and Computer Engineering. Miami, FL, University of Miami. PhD., 2015. (link to thesis)
Wieser, H.-P. Supervised Machine Learning Approach Utilizing Artificial Neural Networks for Automated Prostate Zone Segmentation in Abdominal MR images. Klagenfurt, Austria, Fachhochschule Kärnten/Carinthia University of Applied Sciences; 2013.(link to thesis)
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