Publications

✅Published in a peer-reviewed journal⚙️Work In Progress 📖 Preprint

✅SDF: A self-supervised denoiser framework for X-Ray computed tomography

Addressing self-supervision in CT by training image denoisers in the sinogram domain.

✅ Empirical evidence of the task-adapted reconstruction framework for joint CT reconstruction and segmentation

Training neural networks jointly using a convex loss function outperforms sequential training for CT image reconstruction and segmentation.

✅ Sinogram Inpainting with Generative Adversarial Networks and Shape Priors

A generative neural network can combine limited measurements and prior knowledge about an object to infer missing measurements.

✅ TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets, 

I contributed to TIGRE, a software suite for tomographic image reconstruction, by writing PyTorch binders allowing it to be used as a computational backend for forward and backwards ray transforms.

📖 Improving the Generalisation of Learned Reconstruction Frameworks

Using GNNs to achieve better generalisation of learned reconstruction neural networks. 

📖Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography

Sinogram interpolation using positional encoding.

📖HandCT: hands-on computational dataset for X-Ray Computed Tomography and Machine-Learning

A computational phantoms dataset for 3D X-Ray tomography.