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Publications

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  • "Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis", Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci. IEEE International Symposium on Biomedical Imaging (ISBI) 2018. [Paper] [Project Page] 

     

  • "How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis", Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci. IEEE International Symposium on Biomedical Imaging (ISBI) 2018. [Paper]

     

  • "Deep Learning Applications in Radiology, Recent Developments, Challenges and Potential Solutions", Sarfaraz Hussein, Aliasghar Mortazi, Harish Raviprakash, Jeremy R. Burt, Ulas Bagci. Annual Meeting of the Radiological Society of North America, 2017 (Presentation) - Merit Award Recipient

     

  • "Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning",  Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci. Information Processing in Medical Imaging (IPMI) 2017 (accepted) [Paper]

     

  • "TumorNet: Lung Nodule characterization using Multi-view Convolutional Neural Network with Gaussian Process", Sarfaraz Hussein, Robert Gillies, Kunlin Cao, Qi Song, Ulas Bagci.  IEEE International Symposium on Biomedical Imaging (ISBI) 2017. [Paper] [Project Page] [Poster]

     

  • "Brown adipose tissue detected by PET/CT imaging is associated with less central obesity",  Aileen L. Green, Ulas Bagci, Sarfaraz Hussein, Patrick V. Kelly, Razi Muzaffar, Brent A. Neuschwander-Tetri and Medhat M. Osman. Nuclear Medicine Communications 2017. [Paper]

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  • "Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans", Sarfaraz Hussein, A.Green, A.Watane, D.Reiter, X.Chen, G.Z.Papadakis, B.Wood, A.Cypess, M.Osman, Ulas Bagci. IEEE Transactions on Medical Imaging [Paper] [Project Page] [Poster]

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  • "Deep Learning in Radiology: Recent Advances, Challenges and Future Trends", Sarfaraz Hussein, Harish Raviprakash, Uygar Teomete, Ulas Bagci. Annual Meeting of the Radiological Society of North America, 2016 (Presentation)

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  • "Context region discovery for automatic motion compensation in fluoroscopy", Yin Xia, Sarfaraz Hussein, Vivek Singh, Matthias John, Ying Wu, and Terrence Chen. International Journal of Computer Assisted Radiology and Surgery (2016): 1-9. [Paper]
     

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  • "Transferability of 3D CNN features for Organ detection", Sarfaraz Hussein, Ulas Bagci. Machine Learning for HealthCare, NIPS 2015 (Travel award recepient)

 

 

 

 

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