activity
20202026
most citedVerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

386 citations · 386 across the 6 of their papers we have counts for

collaborators

7 papers

physics.med-ph2026

A Differentiable Brain Tumor Mass Effect Solver

Marco L. Wittrich, Michal Balcerak, Lucas Zimmer +6

A growing brain tumor mechanically deforms the surrounding healthy brain through mass effect. This compression and displacement of tissue affects both patient prognosis and treatme…

cs.CV2026

X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

Maedeh Hafezi Moghadas, Hakim Baazaoui, Lukas Bastian Otto +3

Digital subtraction angiography (DSA) is the reference standard for leptomeningeal collateral (LMC) assessment, providing critical prognostic insights to guide secondary treatment…

cs.CV2025

Optimizing Rank for High-Fidelity Implicit Neural Representations

Julian McGinnis, Florian A. Hölzl, Suprosanna Shit +6

Implicit Neural Representations (INRs) based on vanilla Multi-Layer Perceptrons (MLPs) are widely believed to be incapable of representing high-frequency content. This has directed…

eess.IV2025

PREDICT-GBM: A multi-center platform to advance personalized glioblastoma radiotherapy planning

L. Zimmer, J. Weidner, M. Balcerak +8

Glioblastoma recurrence is largely driven by diffuse infiltration beyond radiologically visible tumor margins, yet standard radiotherapy, the mainstay of glioblastoma treatment, re…

physics.med-ph2025

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging

Jonas Weidner, Ivan Ezhov, Michal Balcerak +5

Butterfly tumors are a distinct class of gliomas that span the corpus callosum, producing a characteristic butterfly-shaped appearance on MRI. The distinctive growth pattern of the…

cs.CV2025

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset

A. Piffer, J. A. Buchner, A. G. Gennari +11

Background Brain tumours are the most common solid malignancies in children, encompassing diverse histological, molecular subtypes and imaging features and outcomes. Paediatric bra…

cs.CV2020★ 386 cited

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66

Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…