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[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!

License: Apache License 2.0

Python 84.48% Jupyter Notebook 15.52%

acsconv's Introduction

Hello! ๐Ÿ‘‹

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I am a PhD student at the Insitute of Cancer Research and Imperial College London researching Deep Learning in Cancer Biology under the supervision of Chris Bakal and Chris Dunsby. My PhD is part of the CRUK Accelerator award. I have an undergraduate degree in Statistics from the University of Cape Town and a master's degree in Artificial Intelligence from the University of Southampton.

My current work focuses on developing computer vision techniques to understand live 3D cancer biology. My research interests are in Geometric Deep Learning, 3D Computer Vision, Shape Analysis and Explainable AI.

Please see my organisations - Sentinal4D and MagniViT - for my work on geometric deep learning in cancer biology, and vision transformers for classification of soft tissue sarcoma from whole slide images.

Aside from my work and research, I am an avid runner, swimmer, cyclist, and footballer.

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