JM
Julian McGinnis
cs.CVMultiple Sclerosismultiple sclerosisBraincs.LGeess.IVMagnetic Resonance ImagingMRIradiology and imagingcs.AI
On Valency
published · living versionsW_894d8afa·v1 · currentpublished
Longitudinal tracking of multiple sclerosis lesions in the spinal cord: A validation study
with Pierre-Louis Benveniste, Shannon Kolind, Larry D. Lynd, Sarah A. Morrow +9
1 version
Preprints & journals
26 papers in the corpus · 2021–2026MedMCP: An Open Agentic Ecosystem for Medical Imaging Workflows10.64898/2026.10.12.758708v1 · McGinnis, J., Friedrich, P., Muhlau, M. et al.2026 · 0 citationsbioRxiv
What Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization2609.24691v1 · Niklas Bubeck, Yundi Zhang, Vasiliki Sideri-Lampretsa et al.2026 · 0 citationsarXiv
Longitudinal tracking of multiple sclerosis lesions in the spinal cord: A validation study2609.09424v1 · Pierre-Louis Benveniste, Julian McGinnis, Shannon Kolind et al.2026 · 0 citationsarXivon Valency
Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion2609.03694v1 · Paul Buschl, Ezequiel de la Rosa, Julia Wolleb et al.2026 · 0 citationsarXiv
The Prognostic Value of Paramagnetic Rim Lesions in People With Multiple Sclerosis.42623573 · Lauerer, Markus, Voon, Cui Ci, McGinnis, Julian et al.2026 · 1 citationNeurology. 2026;107(6):e218428
Improved visualization and segmentation of the choroid plexus using double inversion recovery MRI.42845615 · Lauerer, Markus, McGinnis, Julian, Berberich, Cornelius et al.2026 · 0 citationsmedRxiv : the preprint server for health sciences. 2026
NISF++: Geometrically-grounded implicit representations of 3D+time cardiac function from 2D short- and long-axis MR views2608.00752v1 · Nil Stolt-Ans'o, Maik Dannecker, Steven Jia et al.2026 · 0 citationsarXiv
What Cohort INRs Encode and Where to Freeze Them2605.08298v1 · Vasiliki Sideri-Lampretsa, Sophie Starck, Robbie Holland et al.2026 · 0 citationsarXiv
Reversible hypervascularization drives cognitive decline and blood-brain barrier damage during aging10.64898/2026.05.04.720441v1 · Todorov, M. I., Todorov-Völgyi, K., Minde, D.-P. et al.2026 · 1 citationbioRxiv
Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers.42028790 · Benveniste, Pierre-Louis, Létourneau-Guillon, Laurent, Araujo, David et al.2026 · 0 citationsMultiple sclerosis (Houndmills, Basingstoke, England). 2026;32(6):598-613
Temporal Patterns of Fever Onset as an Indicator of Etiology in Intracerebral Hemorrhage.42042755 · Hess, Felix, Baki, Enayatullah, McGinnis, Julian et al.2026 · 0 citationsNeurology international. 2026;18(4)
VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation2603.18797v2 · Chinmay Prabhakar, Bastian Wittmann, Tamaz Amiranashvili et al.2026 · 0 citationsarXiv
Optimizing Rank for High-Fidelity Implicit Neural Representations2512.14366v3 · Julian McGinnis, Florian A. Holzl, Suprosanna Shit et al.2025 · 0 citationsarXiv
Quantitative Susceptibility Mapping of Deep Grey Matter in MS: Association With Clinical Scores and Brain Volume Measures.41116625 · Voon, Cui Ci, Meineke, Jakob, Wiltgen, Tun et al.2025 · 5 citationsBrain and behavior. 2025;15(10):e70988
Differentiating central fever from infectious fever in intracerebral haemorrhage.40866080 · Hess, Felix, Baki, Enayatullah, McGinnis, Julian et al.2026 · 2 citationsStroke and vascular neurology. 2026;11(5):629-636
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine2508.14708v1 · Robert Graf, Tanja Lerchl, Kati Nispel et al.2025 · 0 citationsarXiv
Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis.40712997 · Wiltgen, Tun, McGinnis, Julian, Berg, Ronja et al.2025 · 1 citationNeuroImage. 2025;318:121395
Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans.40800745 · Naga Karthik, Enamundram, McGinnis, Julian, Wurm, Ricarda et al.2025 · 8 citationsImaging neuroscience (Cambridge, Mass.). 2025;3
Predictors and Implications of Myocardial Injury in Intracerebral Hemorrhage.39884976 · Hess, Felix, McGinnis, Julian, Baki, Enayatullah et al.2025 · 7 citationsClinical neuroradiology. 2025;35(2):395-404
Interpretable deformable image registration: A geometric deep learning perspective2412.13294v2 · Vasiliki Sideri-Lampretsa, Nil Stolt-Ans'o, Huaqi Qiu et al.2024 · 0 citationsarXiv
LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation.38045345 · Wiltgen, Tun, McGinnis, Julian, Schlaeger, Sarah et al.2025 · 73 citationsmedRxiv : the preprint server for health sciences. 2024
Prognostic value of spinal cord lesion measures in early relapsing-remitting multiple sclerosis.37495267 · Lauerer, Markus, McGinnis, Julian, Bussas, Matthias et al.2023 · 25 citationsJournal of neurology, neurosurgery, and psychiatry. 2023;95(1):37-43
A Genetic Risk Variant for Multiple Sclerosis Severity is Associated with Brain Atrophy.37753809 · Gasperi, Christiane, Wiltgen, Tun, McGinnis, Julian et al.2023 · 25 citationsAnnals of neurology. 2023;94(6):1080-1085
NISF: Neural Implicit Segmentation Functions2309.08643v1 · Nil Stolt-Ans'o, Julian McGinnis, Jiazhen Pan et al.2023 · 26 citationsarXiv
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations2303.15065v3 · Julian McGinnis, Suprosanna Shit, Hongwei Bran Li et al.2023 · 34 citationsarXiv
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)2108.13233v2 · Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit et al.2021 · 6 citationshttps://neurips.cc/virtual/2021/poster/29873
Career total: 29 works. 26 are in this corpus.
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