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08/31/2023
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
Multiple Sclerosis (MS) is a severe neurological disease characterized b...
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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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06/28/2023
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks
Automated medical image segmentation inherently involves a certain degre...
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05/30/2023
DENTEX: An Abnormal Tooth Detection with Dental Enumeration and Diagnosis Benchmark for Panoramic X-rays
Panoramic X-rays are frequently used in dentistry for treatment planning...
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05/26/2023
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation
Recent trends in Video Instance Segmentation (VIS) have seen a growing r...
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05/26/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause...
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05/25/2023
GenerateCT: Text-Guided 3D Chest CT Generation
Generative modeling has experienced substantial progress in recent years...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Automated brain tumor segmentation methods are well established, reachin...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
A myriad of algorithms for the automatic analysis of brain MR images is ...
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05/12/2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Meningiomas are the most common primary intracranial tumor in adults and...
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03/25/2023
Link Prediction for Flow-Driven Spatial Networks
Link prediction algorithms predict the existence of connections between ...
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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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01/18/2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
Self-supervised learning has attracted increasing attention as it learns...
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12/31/2022
Approaching Peak Ground Truth
Machine learning models are typically evaluated by computing similarity ...
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12/03/2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Quantifying the perceptual similarity of two images is a long-standing p...
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11/28/2022
Topologically faithful image segmentation via induced matching of persistence barcodes
Image segmentation is a largely researched field where neural networks f...
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09/14/2022
Landmark-free Statistical Shape Modeling via Neural Flow Deformations
Statistical shape modeling aims at capturing shape variations of an anat...
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07/21/2022
Focused Decoding Enables 3D Anatomical Detection by Transformers
Detection Transformers represent end-to-end object detection approaches ...
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06/14/2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Magnetic resonance imaging (MRI) is a central modality for stroke imagin...
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05/17/2022
blob loss: instance imbalance aware loss functions for semantic segmentation
Deep convolutional neural networks have proven to be remarkably effectiv...
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05/09/2022
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling
Solving the inverse problem is the key step in evaluating the capacity o...
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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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03/30/2022
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network
In this work, we present a method for synthetic CT (sCT) generation from...
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03/19/2022
Relationformer: A Unified Framework for Image-to-Graph Generation
A comprehensive representation of an image requires understanding object...
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12/13/2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients
Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scan...
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11/16/2021
FedCostWAvg: A new averaging for better Federated Learning
We propose a simple new aggregation strategy for federated learning that...
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11/07/2021
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
Current treatment planning of patients diagnosed with brain tumor could ...
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07/05/2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
The BraTS 2021 challenge celebrates its 10th anniversary and is jointly ...
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05/12/2021
The Federated Tumor Segmentation (FeTS) Challenge
This manuscript describes the first challenge on Federated Learning, nam...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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03/31/2021
Differentiable Deconvolution for Improved Stroke Perfusion Analysis
Perfusion imaging is the current gold standard for acute ischemic stroke...
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03/06/2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Radiomic representations can quantify properties of regions of interest ...
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10/29/2020
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset
It is critical to quantitatively analyse the developing human fetal brai...
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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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10/04/2020
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning
Perfusion imaging is crucial in acute ischemic stroke for quantifying th...
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09/09/2020
Real-time Bayesian personalization via a learnable brain tumor growth model
Modeling of brain tumor dynamics has the potential to advance therapeuti...
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08/08/2020
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum
Segmentationand parcellation of the brain has been widely performed on b...
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08/03/2020
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation
Tackling domain shifts in multi-centre and multi-vendor data sets remain...
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07/18/2020
Face Super-Resolution Guided by 3D Facial Priors
State-of-the-art face super-resolution methods employ deep convolutional...
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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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01/25/2020
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation
Domain adaptation in healthcare data is a potentially critical component...
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01/23/2020
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders
We propose a dictionary-matching-free pipeline for multi-parametric quan...
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11/26/2019
ModelHub.AI: Dissemination Platform for Deep Learning Models
Recent advances in artificial intelligence research have led to a profus...
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10/08/2019
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee
Fast and accurate solution of time-dependent partial differential equati...
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08/25/2019
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation
Analysis and modeling of the ventricles and myocardium are important in ...
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08/14/2019
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
Multi-organ segmentation in whole-body computed tomography (CT) is a con...
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07/01/2019
Neural parameters estimation for brain tumor growth modeling
Understanding the dynamics of brain tumor progression is essential for o...
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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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02/25/2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Semantic segmentation of medical images aims to associate a pixel with a...
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11/14/2018