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20242026
most citedMICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

eess.IV2026

H-2DGS: Height-Field Gaussian Splatting for Sharp and Deformable Neurosurgical Surface Reconstruction

Zhang Zichuan, Bart Brouwers, Rembrandt Bakker +3

Neurosurgical navigation commonly presents magnetic resonance imaging (MRI) as 2D slices, making it difficult to relate the anatomy in those slices to the cortical surface observed…

cs.CV2026

SIINR: Structurally Informed Implicit Neural Representations for super-resolution with uncertainty quantification of clinical quality diffusion MRI datasets

Tom Hendriks, William Consagra, Anna Vilanova +2

Diffusion Magnetic Resonance Imaging (dMRI) is a powerful tool for probing brain microstructure, but clinical acquisitions are often limited by low out-of-plane resolution, resulti…

cs.GR2025

Real-Time Rendering of Dynamic Line Sets using Voxel Ray Tracing

Bram Kraaijeveld, Andrei C. Jalba, Anna Vilanova +1

Real-time rendering of dynamic line sets is relevant in many visualization tasks, including unsteady flow visualization and interactive white matter reconstruction from Magnetic Re…

eess.IV2025

Implicit neural representations for accurate estimation of the standard model of white matter

Tom Hendriks, Gerrit Arends, Edwin Versteeg +3

Diffusion magnetic resonance imaging (dMRI) enables non-invasive investigation of tissue microstructure. The Standard Model (SM) of white matter aims to disentangle dMRI signal con…

physics.med-ph2024★ 2 cited

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

Nancy R. Newlin, Kurt Schilling, Serge Koudoro +33

White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (…

eess.IV2024

Multi-dimensional Parameter Space Exploration for Streamline-specific Tractography

Ruben Vink, Anna Vilanova, Maxime Chamberland

One of the unspoken challenges of tractography is choosing the right parameters for a given dataset or bundle. In order to tackle this challenge, we explore the multi-dimensional p…