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Hi there šŸ‘‹

I'm a computational imaging researcher. I hold PhD in Applied Mathematics from Utrecht University in The Netherlands, followed by postdoctoral experiences at Computational Imaging group at CWI Amsterdam and Electron Microscopy lab at University of Antwerp. My research focuses on developing variational and deep unsupervised learning approaches for Dynamic Imaging, high-resolution X-ray and Electron Tomography, and Spectral Imaging.

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Ajinkya Kadu's Projects

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ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography

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Convex Shape Recovery Program for Single-Shot X-ray Tomography

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MATLAB and Python code for single-shot, high-resolution tomographic imaging of discrete dynamic objects.

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Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional

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The code for reconstruction algorithm and post-processing of electron tomographic series of colloidal particles acquired in liquid

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Matlab code to reproduce the experiments presented in "A penalty method for PDE-constrained optimization in inverse problems" by T. van Leeuwen and F.J .Herrmann

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PyLops ā€“ A Linear-Operator Library for Python

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Simple matlab code for testing optimization algorithms on seismic inverse problems

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