Medical Image Modality Translation

Latest papers

15 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

SphereFlow: Missing Modality Imputation via Geometric Transport on Hypersphere
Nov 3, 2026Huihan Wang, Juncheng Wang, Yuxiang Feng +6Missing-Modality Learning Medical Image Modality Translation
Department of Biomedical Engineering and Sports Technology (BEST), The Hong Kong Polytechnic University, Hong Kong, China · Zhejiang University, Hangzhou, China · IROOTECH TECHNOLOGY, China +2
Training-Time Domain Transfer for Generator-Free Diagnostics on Novel Modalities in Computational Pathology
Nov 2, 2026Julia A. Mielcarz, Andrea Camilloni, Nita Mulliqi +5Computational Pathology Synthetic-to-Real Domain Adaptation
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden · Harvard Medical School, USA · Department of Pathology, Stavanger University Hospital, Norway +5
Domain-Adapted Latent Diffusion Models for CT-to-PET Image Translation
Oct 26, 2026Yann Bourdé, Lea Bogensperger, Arnela Hadzic +1Medical Image Modality Translation Medical Image Synthesis
Department of Quantitative Biomedicine, University of Zurich · Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz
StaX-Net: Stackelberg Interleaved Asymmetric Network for Cross-Modality Medical Image Translation
Oct 25, 2026Amin Golnari, Saeid SaneiMedical Image Modality Translation Image-to-Image Translation
College of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam · College of Health Science, VinUniversity, Hanoi, Vietnam · Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
S2T-Unet: A Structure-to-Style Framework for Inter-Modality MRI Translation
Sep 29, 2026Yichao LiuImage-to-Image Translation Multimodal Disentangled Representation Learning
Heidelberg University, IWR, Germany
PredRA: Fast Medical Image Translation by Deterministic Component Extraction and Controlled Stochastic Refinement
Sep 25, 2026Jianhai Zhang, Pattarawut Charatpangoon, Donghao Zhang +4Image-to-Image Translation Medical Image Modality Translation
Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. · Ron and Rene Ward Centre for Healthy Brain Aging Research, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada. · Department of Biomedical Engineering, School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China. +1
Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching
Aug 8, 2026Daniele Molino, Alessio Zoboli, Camillo Maria Caruso +2Image-to-Image Translation Medical Image Modality Translation
Unit of Artificial Intelligence and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy · UniCamillus – Saint Camillus International University of Health Sciences, Rome, Italy · Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, Umeå, Sweden
Posterior Samplings are Missing Modalities Generators for Medical Image Translation
Jul 21, 2026Jonghun KimMissing-Modality Learning Image-to-Image Translation
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
Spectral Consistent Flow for One-step 3D Medical Image Translation
Jul 12, 2026Haoqing Li, Jun Shi, Mingchao Li +4Image-to-Image Translation Medical Image Synthesis
University of Science and Technology of China, Hefei, China · Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Hefei, China · Division of Life Sciences and Medicine, USTC, Hefei, China +1
Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation
Jun 16, 2026Alicia Pirwass, Birte Glimm, Michael Munz +1Image-to-Image Translation U-Net
Institute of Artificial Intelligence, Ulm University, 89081, Ulm, Germany · Institute of Orthopaedic Research and Biomechanics, Centre for Trauma Research, University Hospital Ulm, Helmholtzstrasse 14, 89081, Ulm, Germany · AI for Sensor Data Analytics Research Group, Ulm University of Applied Sciences,2026 89081, Ulm, Germany
Unified MRI Brain Image Translation via Hierarchical Tumor Structure Comparison
Jun 11, 2026Yupeng Cai, Jia Wei, Jianlong ZhouImage-to-Image Translation Medical Image Modality Translation
South China University of Technology, Guangzhou 510640, China · UTS Data Science Institute, University of Technology Sydney, Ultimo, NSW 2007, Australia
Efficient Factorized Volume Synthesis with Lifted Inter-Slice Feature Trajectories
May 18, 2026Xinhe Zhang, Yuyang Zhang, Pengfei Jin +3Image-to-Image Translation Medical Image Modality Translation
School of Engineering and Applied Sciences, Harvard University · Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School · Kempner Institute, Harvard University
Cross Modality Image Translation In Medical Imaging Using Generative Frameworks
May 13, 2026Giulia Romoli, Filippo Ruffini, Francesco Di Feola +20Image-to-Image Translation Medical Image Modality Translation
Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Universitetstorget, 4, Umeå, 90187, Sweden · Unit of Artificial Intelligence and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, Roma, 00128, Italy · Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, Roma, 00168, Italy +12
VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation
Apr 24, 2026Nikoo Moradi, Gijs Luijten, Behrus Hinrichs-Puladi +4Image-to-Image Translation Medical Image Modality Translation
Institute for Artificial Intelligence in Medicine (IKIM), Essen University Hospital (AöR), University of Duisburg-Essen, Essen, Germany · Institute of Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16, Graz, 8010, Austria · Center for Virtual and Extended Reality in Medicine (ZvRM), University Hospital Essen (AöR), Essen, Germany +7
Multiscale Structure-Guided Latent Diffusion for Multimodal MRI Translation
Mar 13, 2026Jianqiang Lin, Zhiqiang Shen, Peng Cao +3Medical Image Modality Translation Medical Image Synthesis
Northeastern University, Shenyang, China · Key Laboratory of Intelligent Computing in Medical Image, Shenyang, China · Computer Science and Engineering, Northeastern University, Shenyang, China +5

Nov 3, 2026J/K move · Enter open · S save

SphereFlow: Missing Modality Imputation via Geometric Transport on Hypersphere

Huihan Wang, Juncheng Wang, Yuxiang Feng, Wenlong Hou+5

Department of Biomedical Engineering and Sports Technology (BEST), The Hong Kong Polytechnic University, Hong Kong, China · Zhejiang University, Hangzhou, China · IROOTECH TECHNOLOGY, China+2

Missing-Modality Learning Medical Image Modality Translation Flow Matching

Open paper AskPDF arXiv

Missing modality imputation aims to synthesize unobserved modalities from observed ones. Existing methods treat each modality as living on its own latent manifold, forcing the generator to learn a long, unstructured jump between them. We present SphereFlow, which takes a fundamentally different view: by projecting all modalities into a shared hyperspherical latent space via a frozen self-supervised encoder, cross-modal imputation reduces to short-range geometric transport between nearby points on the sphere. Realizing this idea with flow matching, however, exposes two geometric conflicts: the standard Gaussian noise source is catastrophically mismatched with the unit-norm data manifold, and the linear interpolation path departs the sphere surface into a region where the decoder has no training signal. We resolve both with simple, geometry-aware modifications: replacing the noise source with the observed-modality latent so that the velocity field learns only the cross-modal displacement, and training the decoder with a time-weighted loss that extends its domain to the near-surface region traversed by the flow. We prove that this data-as-source formulation reduces the worst-case off-manifold deviation from a quantity that grows with the latent dimension to a small, dimension-independent bound governed by inter-modality similarity. Experiments on BraTS multi-modal MRI imputation and CT-MRI translation demonstrate state-of-the-art generation fidelity across all settings, while downstream brain tumor segmentation with our imputed data closes roughly eighty percent of the gap to the full-modality oracle. Code is available at https://github.com/WTHH031230/SphereFlow.