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09/05/2023
A skeletonization algorithm for gradient-based optimization
The skeleton of a digital image is a compact representation of its topol...
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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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04/24/2023
FedPIDAvg: A PID controller inspired aggregation method for Federated Learning
This paper presents FedPIDAvg, the winning submission to the Federated T...
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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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01/11/2023
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration
Age-related macular degeneration (AMD) is the leading cause of blindness...
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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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10/28/2022
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias
Recent studies suggest that early stages of diabetic retinopathy (DR) ca...
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07/22/2022
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs
Optical coherence tomography angiography (OCTA) can non-invasively image...
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03/17/2022
SoK: Differential Privacy on Graph-Structured Data
In this work, we study the applications of differential privacy (DP) in ...
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02/05/2022
Differentially Private Graph Classification with GNNs
Graph Neural Networks (GNNs) have established themselves as the state-of...
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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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11/16/2021
FedCostWAvg: A new averaging for better Federated Learning
We propose a simple new aggregation strategy for federated learning that...
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09/03/2021
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations
Fast and accurate solutions of time-dependent partial differential equat...
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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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04/22/2021
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
Novel multimodal imaging methods are capable of generating extensive, su...
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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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10/29/2020
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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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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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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04/29/2019