Chompunuch Sarasaen | DeepAI

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∙ 02/10/2022

DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI

Magnetic resonance imaging (MRI) provides high spatial resolution and ex...

0 Soumick Chatterjee, et al. ∙

∙ 10/16/2021

TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models

Clinicians are often very sceptical about applying automatic image proce...

0 Soumick Chatterjee, et al. ∙

∙ 03/16/2021

ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data

MRI is an inherently slow process, which leads to long scan time for hig...

0 Soumick Chatterjee, et al. ∙

∙ 02/04/2021

Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge

Dynamic imaging is a beneficial tool for interventions to assess physiol...

0 Chompunuch Sarasaen, et al. ∙

∙ 06/03/2020

Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images

The outbreak of COVID-19 has shocked the entire world with its fairly ra...

22 Soumick Chatterjee, et al. ∙

∙ 10/10/2019

Breathing deformation model – application to multi-resolution abdominal MRI

Dynamic MRI is a technique of acquiring a series of images continuously ...

0 Chompunuch Sarasaen, et al. ∙

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