Petru-Daniel Tudosiu | DeepAI

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∙ 08/23/2023

InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model

High-resolution (HR) MRI scans obtained from research-grade medical cent...

0 Jueqi Wang, et al. ∙

∙ 07/27/2023

Generative AI for Medical Imaging: extending the MONAI Framework

Recent advances in generative AI have brought incredible breakthroughs i...

0 Walter H. L Pinaya, et al. ∙

∙ 07/07/2023

Unsupervised 3D out-of-distribution detection with latent diffusion models

Methods for out-of-distribution (OOD) detection that scale to 3D data ar...

0 Mark S. Graham, et al. ∙

∙ 11/14/2022

Denoising Diffusion Models for Out-of-Distribution Detection

Out-of-distribution detection is crucial to the safe deployment of machi...

0 Mark S. Graham, et al. ∙

∙ 09/17/2022

Can segmentation models be trained with fully synthetically generated data?

In order to achieve good performance and generalisability, medical image...

54 Virginia Fernandez, et al. ∙

∙ 09/15/2022

Brain Imaging Generation with Latent Diffusion Models

Deep neural networks have brought remarkable breakthroughs in medical im...

13 Walter H. L Pinaya, et al. ∙

∙ 09/07/2022

Morphology-preserving Autoregressive 3D Generative Modelling of the Brain

Human anatomy, morphology, and associated diseases can be studied using ...

4 Petru-Daniel Tudosiu, et al. ∙

∙ 06/07/2022

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Deep generative models have emerged as promising tools for detecting arb...

13 Walter H. L Pinaya, et al. ∙

∙ 05/21/2022

Transformer-based out-of-distribution detection for clinically safe segmentation

In a clinical setting it is essential that deployed image processing sys...

30 Mark S. Graham, et al. ∙

∙ 03/03/2021

ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans

An important goal of medical imaging is to be able to precisely detect p...

12 Cher Bass, et al. ∙

∙ 06/15/2020

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping

Feature attribution (FA), or the assignment of class-relevance to differ...

12 Cher Bass, et al. ∙

∙ 02/13/2020

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE

The increasing efficiency and compactness of deep learning architectures...

11 Petru-Daniel Tudosiu, et al. ∙

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