June 2018: Successfully defended my Ph.D. dissertation on "Learning Algorithms for Fat Quantification and Tumor Characterization" [Announcement] 

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January 2018: 2 Papers accepted at International Symposium on Biomedical Imaging (ISBI) 2018 [Papers] [Project Page] 

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November 2017: RSNA 2017 Merit Award for "Deep Learning Applications in Radiology, Recent Developments, Challenges and Potential Solutions" (Presentation)

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June 2017: Paper accepted at Nuclear Medicine Communications 2017 [Paper]

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April 2017: Paper accepted at Information Processing in Medical Imaging (IPMI) 2017 [Paper] 

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January 2017: Paper accepted in IEEE International Symposium on Biomedical Imaging (ISBI) 2017 [Paper] [Project Page] [Poster]

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December 2016: Paper accepted in IEEE Transactions on Medical Imaging [Paper] [Project Page] [Poster]

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November 2016: Presentation on "Deep Learning in Radiology" at Annual Meeting of Radiological Society of North America, Chicago, USA (Presentation)

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June 2016: Patent filed on the Automatic Segmentation and Quantification of White and Brown Adipose Tissue

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May-August 2016: Summer Internship at CuraCloud Corporation Seattle​

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December 2016: "Transferability of 3D CNN features for Organ detection" at NIPS Machine Learning for HealthCare 2015, Montreal, Canada

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July 2015: Research Highlighted in UCF Today (News)

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June 2015: UCF REU (Research Experience for Undergraduates) Program

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May-August 2014: Summer Intern at Siemens Corporate Research, Princeton, NJ

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