3D Medical Imaging

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9 papers in the last four weeks, up 50% on the four weeks before. 0.1% of all new papers.

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Latest papers 117

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3D MRI Image Pretraining via Controllable 2D Slice Navigation Task
May 7, 2026Yu Wang, Qingchao ChenVisual Representation Learning Self-Supervised Pre-Training
Beijing University of Posts and Telecommunications · Peking University
3D Ultrasound-Derived Pseudo-CT Synthesis Using a Transformer-Augmented Residual Network for Real-Time Operator Guidance
May 6, 2026Sapna Sachan, Amulya Kumar Mahto3D Medical Imaging Ultrasound Imaging
Indian Institute of Technology Guwahati, Assam, PIN 781039 India
Vol-Mark: A Watermark for 3D Medical Volume Data Via Cubic Difference Expansion and Contrastive Learning
May 6, 2026Jiangnan Zhu, Yuntao Wang, Shengli Pan +13D Medical Imaging Robust Watermarking
Kyushu University, Fukuoka, Japan · The University of Electro-Communications, Tokyo, Japan · Beijing University of Posts and Telecommunications, Beijing, China
MK-ResRecon: Multi-Kernel Residual Framework for Texture-Aware 3D MRI Refinement from Sparse 2D Slices
May 5, 2026Prajyot Pyati, Sapna Sachan, Amulya Kumar Mahto +13D Medical Imaging Image Reconstruction
Indian Institute of Technology, Guwahati · All India Institute of Medical Sciences, Guwahati
MedScribe: Clinically Grounded CT Reporting through Agentic Workflows
May 3, 2026Giuseppe A. Orlando, Paolo Papotti, Maria A. Zuluaga +2Radiology Report Generation Healthcare
Inria Centre at Université Côte d’Azur Sophia Antipolis, France · EURECOM Biot, France · Dep. of Nuclear Medicine, Centre Antoine Lacassagne Nice, France Université Côte d’Azur, CNRS, Inserm, iBV
Sparse Representation Learning for Vessels
May 2, 2026Chinmay Prabhakar, Bastian Wittmann, Paul Büschl +3Variational Autoencoders 3D Medical Imaging
Department of Quantitative Biomedicine, University of Zurich, Switzerland · ETH AI Center, ETH Zurich, Switzerland · Department of Diagnostic Radiology, National University of Singapore, Singapore
Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images
May 1, 2026Rajalakshmi Palaniappan, Christoph Karg, Nemesio Navarro-Arambula +4Image Segmentation Medical Image Analysis
Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC) · Humboldt University of Berlin · University of Potsdam +4
Virtual-reality based patient-specific simulation of spine surgical procedures: A fast, highly automated and high-fidelity system for surgical education and planning
Apr 29, 2026Raj Kumar Ranabhat, Tayler D Ross, Tony Jiao +33D Medical Imaging
Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Canada. · Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada. · Division of Spine Surgery, Sunnybrook Health Sciences Centre, Toronto, Canada.
EXACT: an explainable anomaly-aware vision foundation model for analysis of 3D chest CT
Apr 27, 2026Xuguang Bai, Mingxuan Liu, Tongxi Song +6Medical Imaging Foundation Models Radiology VLMs
School of Biomedical Engineering, Tsinghua University, Beijing, China. · Department of Radiology, Mianyang Central Hospital, Mianyang, China. · Center for Biomedical Imaging Research, Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing, China, 100084
VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation
Apr 24, 2026Nikoo Moradi, Gijs Luijten, Behrus Hinrichs-Puladi +4Image-to-Image Translation 3D Medical Imaging
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
Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
Apr 23, 2026Luis Barba, Johannes Kirschner, Benjamin BejarCone-Beam CT 3D Medical Imaging
Swiss Data Science Center (SDSC) in Paul Scherrer Institute (PSI), Villigen, Switzerland. · Swiss Data Science Center (SDSC) and ETH Zurich, Switzerland. · Swiss Data Science Center (SDSC) and Paul Scherrer Institute (PSI), Villigen, Switzerland.
Generative Drifting for Conditional Medical Image Generation
Apr 21, 2026Zirong Li, Siyuan Mei, Weiwen Wu +33D Medical Imaging One-Step Generative Modeling
Department of Orthodontics and Orofacial Orthopedics, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany +1
VecHeart: Holistic Four-Chamber Cardiac Anatomy Modeling via Hybrid VecSets
Apr 21, 2026Yihong Chen, Pascal FuaTransformer 3D Reconstruction
CVLAB, EPFL
Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement
Apr 20, 2026Hongxu Jiang, Fei Li, Boxiao Yu +43D Medical Imaging Medical Image Super-Resolution
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA · Department of Medicine, University of Florida, Gainesville, FL, USA · Department of Biomedical Engineering, University of Florida, Gainesville, FL +2
Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI
Apr 17, 2026Lama Moukheiber, Caleb M. Yeung, Haotian Xue +33D Spatial Reasoning 3D Medical Imaging
Georgia Institute of Technology · Harvard University · Georgetown University
MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models
Mar 12, 2026Shengyuan Liu, Zanting Ye, Yunrui Lin +6Efficient VLM Inference 3D Medical Imaging
Chinese University of Hong Kong · Westlake University · Southern Medical University +4
OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations
Mar 9, 2026Magdalena Wysocki, Kadir Burak Buldu, Miruna-Alexandra Gafencu +2Implicit Neural Representations 3D Reconstruction
Chair for Computer Aided Medical Procedures (CAMP) Technical University of Munich, Boltzmannstr. 3, 85748 Garching, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Konrad Zuse School of Excellence in Reliable AI (relAI), Germany
MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis
Feb 19, 2026Junkai Liu, Ling Shao, Le ZhangDisentangled Representation Learning Self-Supervised Pre-Training
School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, England, United Kingdom · UCAS-Terminus AI Laboratory, University of Chinese Academy of Sciences, Beijing 100049, China
MedForj: An open, large-scale foundational generative prior for high-resolution 3D brain MRI
Oct 29, 2025Samuel W. Remedios, Aaron Carass, Jerry L. Prince +1Flow Matching Healthcare
Image Analysis and Communications Laboratory, Johns Hopkins University · Department of Neurology, Johns Hopkins Hospital
Wound3DAssist: A Practical Framework for 3D Wound Assessment
Aug 25, 2025Remi Chierchia, Rodrigo Santa Cruz, Léo Lebrat +73D Medical Imaging
Imaging and Computer Vision Group, Data61, CSIRO · School of Electrical Engineering & Robotics, Queensland University of Technology, Australia
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Jul 28, 2025Ke Niu, Zeyun Liu, Xue Feng +5Depth Estimation 3D Medical Imaging
School of Computer Science, Beijing Information Science and Technology University, Beijing, China · Faculty of Biomedical Engineering, Shenzhen University of Advanced Technology, Shenzhen, China · Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
Jul 15, 2025Roman Naeem, David Hagerman, Jennifer Alvén +2Medical Image Analysis 3D Medical Imaging
Chalmers University of Technology, 412 96 Gothenburg, Sweden
Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation
Jun 29, 2025Sunggu Kyung, Jinyoung Seo, Hyunseok Lim +7Radiology Report Generation 3D Medical Imaging
Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea · University of Ulsan College of Medicine, Seoul, Republic of Korea · Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering
May 22, 2025Zhongpai Gao, Benjamin Planche, Meng Zheng +4Neural Rendering 3D Medical Imaging
United Imaging Intelligence, Boston, MA, USA
Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation
Nov 23, 2024Junhyeok Lee, Yujin Oh, Dahyoun Lee +9Radiology Report Generation Retrieval-Augmented Generation
Cancer Biology, Seoul National University College of Medicine, Korea · Radiology, Massachusetts General Hospital and Harvard Medical School, USA · Biomedical Systems Informatics, Yonsei University College of Medicine, Korea +10
3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning
May 17, 2024Zhentao Liu, Huangxuan Zhao, Wenhui Qin +7Medical Imaging Neural Rendering
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China · National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China · School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China +1
PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement
Date pendingDong Yeong Kim, Jaewon Choi, Youmin Shin +53D Medical Imaging Image Reconstruction
Interdisciplinary Program in Bioengineering, Seoul National University · Department of Transdisciplinary Medicine, Seoul National University Hospital · Department of Artificial Intelligence, Yonsei University +2

May 7, 2026, cs.CVJ/K move · Enter open · S save

3D MRI Image Pretraining via Controllable 2D Slice Navigation Task

Yu Wang, Qingchao Chen

Beijing University of Posts and Telecommunications · Peking University

Visual Representation Learning Self-Supervised Pre-Training 3D Medical Imaging Predictive Representation Learning Medical Image Representation Learning

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Self-supervised pretraining has become the mainstream approach for learning MRI representations from unlabeled scans. However, most existing objectives still treat each scan primarily as static aggregations of slices, patches or volumes. We ask whether there exists an intrinsic form of self-supervision signal that is different from reconstructing the masked patches, through transforming the 3D volumes into controllable 2D rendered sequences: by rendering slices at continuous positions, orientations, and scales, a 3D volume can be converted into dense video-action sequences whose controls are the action trajectories. We study this formulation with an action-conditioned pretraining objective, where a tokenizer encodes slice observations and a latent dynamics model predicts the evolution of latent features. Across representative anatomical and spatial downstream tasks, the proposed pretraining is evaluated against standard static-volume baselines, tokenizer-only pretraining, and dynamics variants without aligned actions. These results suggest that controllable MRI slice navigation provides a useful complementary pretraining interface for learning anatomical and spatial representations from large unlabeled MRI collections.

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Latest papers 117