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09/19/2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
Domain Adaptation (DA) is important for deep learning-based medical imag...
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09/15/2023
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) t...
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07/27/2023
Generative AI for Medical Imaging: extending the MONAI Framework
Recent advances in generative AI have brought incredible breakthroughs i...
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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...
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04/14/2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
Cancer is a highly heterogeneous condition that can occur almost anywher...
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03/14/2023
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)
Visual discrimination of clinical tissue types remains challenging, with...
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12/29/2022
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Artificial Intelligence (AI) has become commonplace to solve routine eve...
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11/14/2022
Denoising Diffusion Models for Out-of-Distribution Detection
Out-of-distribution detection is crucial to the safe deployment of machi...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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11/01/2022
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver Placenta in Fetal Growth Restriction
Fetal growth restriction (FGR) is a prevalent pregnancy condition charac...
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10/26/2022
Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset
Endoscopic content area refers to the informative area enclosed by the d...
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09/15/2022
Brain Imaging Generation with Latent Diffusion Models
Deep neural networks have brought remarkable breakthroughs in medical im...
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09/07/2022
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain
Human anatomy, morphology, and associated diseases can be studied using ...
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08/05/2022
Driving Points Prediction For Abdominal Probabilistic Registration
Inter-patient abdominal registration has various applications, from phar...
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08/05/2022
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder
Laser interstitial thermal therapy (LITT) is a novel minimally invasive ...
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06/13/2022
Fitting Segmentation Networks on Varying Image Resolutions using Splatting
Data used in image segmentation are not always defined on the same grid....
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06/09/2022
Solid NURBS Conforming Scaffolding for Isogeometric Analysis
This work introduces a scaffolding framework to compactly parametrise so...
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06/07/2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Deep generative models have emerged as promising tools for detecting arb...
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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...
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04/05/2022
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
Deep learning models for medical image segmentation can fail unexpectedl...
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03/23/2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
The lack of annotated datasets is a major challenge in training new task...
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02/23/2022
Augmentation based unsupervised domain adaptation
The insertion of deep learning in medical image analysis had lead to the...
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02/11/2022
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Motion correction is an essential preprocessing step in functional Magne...
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01/08/2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medic...
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12/24/2021
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Brain tumor segmentation from multiple Magnetic Resonance Imaging (MRI) ...
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11/29/2021
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
We describe Countersynth, a conditional generative model of diffeomorphi...
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11/10/2021
Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets
Understanding variability in clinical symptoms of SARS-CoV-2 community i...
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11/07/2021
Acquisition-invariant brain MRI segmentation with informative uncertainties
Combining multi-site data can strengthen and uncover trends, but is a ta...
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11/04/2021
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties
Being able to adequately process and combine data arising from different...
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11/03/2021
Partial supervision for the FeTA challenge 2021
This paper describes our method for our participation in the FeTA challe...
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10/17/2021
Deep forecasting of translational impact in medical research
The value of biomedical research–a 1.7 trillion annual investment–is ult...
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09/30/2021
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
Current laparoscopic camera motion automation relies on rule-based appro...
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09/06/2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
Quality control (QC) of MR images is essential to ensure that downstream...
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09/03/2021
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Hyperspectral imaging is one of the most promising techniques for intrao...
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08/09/2021
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
The performance of deep neural networks typically increases with the num...
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03/09/2020
TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
We present TorchIO, an open-source Python library for efficient loading,...
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02/13/2020
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
The increasing efficiency and compactness of deep learning architectures...
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02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
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01/31/2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
Quality control (QC) of medical images is essential to ensure that downs...
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01/08/2020
SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning
Distributionally Robust Optimization (DRO) has been proposed as an alter...
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12/22/2019
On the Initialization of Long Short-Term Memory Networks
Weight initialization is important for faster convergence and stability ...
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10/29/2019
Towards Quantifying Neurovascular Resilience
Whilst grading neurovascular abnormalities is critical for prompt surgic...
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10/02/2019
Privacy-preserving Federated Brain Tumour Segmentation
Due to medical data privacy regulations, it is often infeasible to colle...
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09/04/2019
Let's agree to disagree: learning highly debatable multirater labelling
Classification and differentiation of small pathological objects may gre...
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08/26/2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
The performance of multi-task learning in Convolutional Neural Networks ...
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08/21/2019
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
The ability to synthesise Computed Tomography images - commonly known as...
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08/16/2019
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning
Supervised learning algorithms trained on medical images will often fail...
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08/16/2019
Knowledge distillation for semi-supervised domain adaptation
In the absence of sufficient data variation (e.g., scanner and protocol ...
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08/14/2019
Robust parametric modeling of Alzheimer's disease progression
Quantitative characterization of disease progression using longitudinal ...
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07/25/2019