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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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08/09/2023
Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI
The electrocardiogram (ECG) is a widely available diagnostic tool that a...
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07/24/2023
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
In dynamic Magnetic Resonance Imaging (MRI), k-space is typically unders...
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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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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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03/27/2023
Multi-contrast MRI Super-resolution via Implicit Neural Representations
Clinical routine and retrospective cohorts commonly include multi-parame...
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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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08/22/2022
InstanceFormer: An Online Video Instance Segmentation Framework
Recent transformer-based offline video instance segmentation (VIS) appro...
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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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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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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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03/01/2022
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning
Automatic localization and segmentation of organs-at-risk (OAR) in CT ar...
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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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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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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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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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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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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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03/10/2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
In this study, we explore quantitative correlates of qualitative human e...
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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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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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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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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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08/14/2019
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