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08/30/2023
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models
Denoising diffusion models have found applications in image segmentation...
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03/12/2023
Spatial Correspondence between Graph Neural Network-Segmented Images
Graph neural networks (GNNs) have been proposed for medical image segmen...
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03/10/2023
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation
Recently, denoising diffusion probabilistic models (DDPM) have been appl...
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12/03/2022
Active learning using adaptable task-based prioritisation
Supervised machine learning-based medical image computing applications n...
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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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09/12/2022
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
The prowess that makes few-shot learning desirable in medical image anal...
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07/26/2022
Cross-Modality Image Registration using a Training-Time Privileged Third Modality
In this work, we consider the task of pairwise cross-modality image regi...
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03/27/2022
Image quality assessment for machine learning tasks using meta-reinforcement learning
In this paper, we consider image quality assessment (IQA) as a measure o...
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02/20/2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation
Image quality assessment (IQA) in medical imaging can be used to ensure ...
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01/17/2022
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning
The ability to adapt medical image segmentation networks for a novel cla...
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10/22/2021
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
Despite the success of deep learning methods for semantic segmentation, ...
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02/15/2021
Learning image quality assessment by reinforcing task amenable data selection
In this paper, we consider a type of image quality assessment as a task-...
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01/16/2021
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
Organ morphology is a key indicator for prostate disease diagnosis and p...
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11/04/2020
DeepReg: a deep learning toolkit for medical image registration
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
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08/29/2020
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Morphological analysis of longitudinal MR images plays a key role in mon...
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08/20/2019
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation
Improving a semi-supervised image segmentation task has the option of ad...
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07/04/2018