Julian McGinnis

13 papers Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation.
CoRR
Chinmay Prabhakar, Bastian Wittmann, Tamaz Amiranashvili, Paul Büschl, Ezequiel de la Rosa, Julian McGinnis, Benedikt Wiestler, Bjoern Menze, Suprosanna Shit
2025 J jnl
Optimizing Rank for High-Fidelity Implicit Neural Representations.
CoRR
Julian McGinnis, Florian A. Hölzl, Suprosanna Shit, Florentin Bieder, Paul Friedrich, Mark Mühlau, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler
2025 — conf
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
DT4H@MICCAI
Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
CoRR
Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis.
NeuroImage
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
2024 J jnl
Image registration is a geometric deep learning task.
CoRR
Vasiliki Sideri-Lampretsa, Nil Stolt Ansó, Martin J. Menten, Huaqi Qiu, Julian McGinnis, Daniel Rueckert
2024 — conf
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation.
MIDL
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
2024 — conf
SINR: Spline-enhanced implicit neural representation for multi-modal registration.
MIDL
Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert
2023 J jnl
Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR
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
2023 — conf
NISF: Neural Implicit Segmentation Functions.
MICCAI (4)
Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert
2023 — conf
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
MICCAI (8)
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
2021 J jnl
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR
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
2021 — conf
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
NeurIPS Datasets and Benchmarks
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