Devipriya Raju
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Edmonton, Canada
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Devipriya Raju is a ML intern at Cybera,Inc., holding a master's degree in data science from the University of Wisconsin. Her current research focuses primarily on Deep Learning in the domain of Medical Imaging. With three years of industry experience in Python and R programming, she has gained valuable expertise in implementing cutting-edge methodologies. Her research interests include the detection of Alzheimer's, breast cancer analysis and tracking of MS lesions on fMRI images. She is also currently working on her thesis, under the guidance of two esteemed professors, Dr. Nilanjan Ray and Dr. Punithakumar, at the University of Alberta, as a crucial component of her second master's program in Computing Science. During her leisure time, she enjoys hiking and capturing the beauty of nature through her lens. During her leisure time, she enjoys hiking and capturing the beauty of nature through her lens.
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Jumpstart Your Hackathon Journey: A Lightning Guide for Beginners
Embark on a brief yet impactful lightning session tailored for newcomers eager to delve into the world of AI/ML hackathons. This session intends to break down barriers of apprehension and self-doubt that often deter enthusiastic students from participating. Attendees will receive a clear overview of what to anticipate in a typical AI/ML hackathon, coupled with handy tips and strategies to maneuver through them successfully. With an emphasis on demystifying the hackathon experience and empowering participants with the know-how to crack them, this session aspires to dissolve fears and inspire a fresh wave of participants in future AI hackathons.
Leveraging PyTorch and MONAI for Enhanced 3D Liver Segmentation: A Deep Dive
This session focuses on unraveling the intricacies of 3D liver image segmentation using PyTorch and MONAI. This tutorial/demo session promises a deep dive into:
Navigating Challenges: Explore the hurdles and cruciality of accurate 3D liver image segmentation.
Leveraging MONAI: Discover how MONAI empowers the handling and processing of complex medical imaging data, ensuring robust dataset management.
Code Walkthrough: Delve into the code, understanding the strategic and technical decisions from data preprocessing to model implementation and evaluation.
Model Training & Testing: Explore the strategies for training and testing segmentation models, ensuring reliable outcomes.
DevFest GDG Luwero Sessionize Event
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