Julian McGinnis

According to our database, Julian McGinnis authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

What Cohort INRs Encode and Where to Freeze Them.

Vasiliki Sideri-Lampretsa, Sophie Starck, Robbie Holland, Julian McGinnis, Daniel Rueckert

CoRR, May, 2026

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation.

Chinmay Prabhakar, Bastian Wittmann, Tamaz Amiranashvili, Paul Büschl, Ezequiel de la Rosa, Julian McGinnis, Benedikt Wiestler, Bjoern Menze, Suprosanna Shit

CoRR, March, 2026

2025

Optimizing Rank for High-Fidelity Implicit Neural Representations.

Julian McGinnis, Florian A. Hölzl, Suprosanna Shit, Florentin Bieder, Paul Friedrich, Mark Mühlau, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler

CoRR, December, 2025

MedNF.

Paul Friedrich, Florentin Bieder, Julian McGinnis, Julia Wolleb, Daniel Rueckert, Philippe C. Cattin

Dataset, September, 2025

Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis.

Tun Wiltgen, Julian McGinnis, Ronja C. Berg, Cui Ci Voon, Oula Puonti, Katrin Giglhuber, Carl Ganter, Claus Zimmer, Bernhard Hemmer, Benedikt Wiestler, Jan Kirschke, Christine Preibisch, Mark Mühlau

NeuroImage, 2025

Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.

Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke

Proceedings of the Digital Twin for Healthcare - First International Workshop, 2025

2024

Image registration is a geometric deep learning task.

Vasiliki Sideri-Lampretsa, Nil Stolt Ansó, Martin J. Menten, Huaqi Qiu, Julian McGinnis, Daniel Rueckert

CoRR, 2024

SINR: Spline-enhanced implicit neural representation for multi-modal registration.

Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation.

Robert Graf, Hendrik Kristian Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern H. Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations.

Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler

CoRR, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

NISF: Neural Implicit Segmentation Functions.

Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).

Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Mihail I. Todorov, Anjany Sekuboyina, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze

CoRR, 2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.

Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Anjany Sekuboyina, Mihail I. Todorov, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021