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Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration

Paper recorded by Signals 4 on 2026-09-14 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CV · 计算机视觉 · first seen 2026-09-15

Abstract

Multimodal image registration is a key component of many clinical workflows, yet it remains challenging because corresponding anatomical structures often exhibit substantially different image intensities across modalities. In this work, we present a comprehensive benchmark of intra-patient 3D multimodal deformable registration methods across three datasets covering different anatomical regions and

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#58 most recent of 237 cs.CV papers we have recorded · ↑ newer: Don't Send What You Don't Need: Question-Guided Token Pruning as a Pri · ↓ older: Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning f
Cite this page: Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration: the #58 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/benchmarking-intra-patient-3d-deformable-multimodal-image-registration.html
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