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08/18/2023
Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations
Background: Automated segmentation of spinal MR images plays a vital rol...
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03/11/2023
Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays
Due to the necessity for precise treatment planning, the use of panorami...
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08/30/2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
Biological neural networks define the brain function and intelligence of...
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05/14/2021
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Self-supervision has demonstrated to be an effective learning strategy w...
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03/12/2021
Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning
Symptomatic spinal vertebral compression fractures (VCFs) often require ...
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03/10/2021
A Relational-learning Perspective to Multi-label Chest X-ray Classification
Multi-label classification of chest X-ray images is frequently performed...
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03/04/2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
The MICCAI conference has encountered tremendous growth over the last ye...
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10/27/2020
Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks
Existing medical image super-resolution methods rely on pairs of low- an...
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08/18/2020
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
Osteoporotic vertebral fractures have a severe impact on patients' overa...
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05/11/2020
Deep Reinforcement Learning for Organ Localization in CT
Robust localization of organs in computed tomography scans is a constant...
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04/22/2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective
Exploiting learning algorithms under scarce data regimes is a limitation...
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03/16/2020
clDice – a Topology-Preserving Loss Function for Tubular Structure Segmentation
Accurate segmentation of tubular, network-like structures, such as vesse...
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01/24/2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark
In this paper we report the challenge set-up and results of the Large Sc...
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07/22/2019
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
We propose an auto-encoding network architecture for point clouds (PC) c...
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04/29/2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Recent studies on medical image synthesis reported promising results usi...
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02/06/2019
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations
Robust localisation and identification of vertebrae, jointly termed vert...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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04/05/2018
Multi-level Activation for Segmentation of Hierarchically-nested Classes
For a number of biomedical image segmentation tasks, including topologic...
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04/04/2018
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior
Robust localisation and identification of vertebrae is an essential part...
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03/13/2017
