SVF-Net: Learning Deformable Image Registration Using Shape Matching

U-Net: Convolutional Networks for Biomedical Image Segmentation

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Fully convolutional networks for semantic segmentation

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LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm

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Fast Predictive Image Registration

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Computational analysis of LDDMM for brain mapping

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Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration

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Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension

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LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration

Ramon-Julvez, U., Hernández, M., & Mayordomo, E. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-11203-4_3 · Cited by 6

Multi‐parametric magnetic resonance imaging for radiation treatment planning

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Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers

Wang, Z., Yang, Y., Maxime Sermesant, B., et al. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-23443-9_16 · Cited by 6

Cascade connection-based channel attention network for bidirectional medical image registration

Kong, L., Yang, T., Xie, L., Xu, D., & He, K. (2022) · The Visual Computer · doi:10.1007/s00371-022-02678-w · Cited by 6

Few-shot multi-modal registration with mono-modal knowledge transfer

Wang, P., Guo, Y., & Wang, Y. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.104958 · Cited by 6

A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration

Tang, Z., Yap, P., & Shen, D. G. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2885436 · Cited by 6

Image alignment for synchrotron radiation based X-ray nano-CT

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Inter-subject registration-based one-shot segmentation with alternating union network for cardiac MRI images

Wang, H., Li, Q., Yuan, Y., Zhang, Z., Wang, K., & Zhang, H. (2022) · Medical Image Analysis · doi:10.1016/j.media.2022.102455 · Cited by 6

An Unsupervised 3D Image Registration Network for Brain MRI Deformable Registration

Huang, M., Ren, G., Zhang, S., Zheng, Q., & Niu, H. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/9246378 · Cited by 7

Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields EstimationPreprint

Zhou, Y., Pang, S., Cheng, J., Sun, Y., Wu, Y., Zhao, L., Liu, Y., Lu, Z., Yang, W., & Feng, Q. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.07624 · Cited by 6

Deep learning image registration for cardiac motion estimation in adult and fetal echocardiography via a focus on anatomic plausibility and texture quality of warped image

Hasan, M. K., Zhu, H., Yang, G., & Yap, C. H. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.109719 · Cited by 5

A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences

Krishnaswamy, D., Noga, M., Becher, H. H., Boulanger, P., & Punithakumar, K. (2023) · IEEE Access · doi:10.1109/access.2023.3234241 · Cited by 5

DeepRetroMoCo: deep neural network-based retrospective motion correction algorithm for spinal cord functional MRI

Mobarak-Abadi, M., Mahmoudi-Aznaveh, A., Dehghani, H., Zarei, M., Vahdat, S., Doyon, J., & Khatibi, A. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1323109 · Cited by 5

Feedback Attention to Enhance Unsupervised Deep Learning Image Registration in 3D Echocardiography

Hasan, M. K., Luo, Y.-H., Yang, G., & Yap, C. H. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3530501 · Cited by 6

A Multiple Decoder Cnn For Inverse Consistent 3d Image Registration

Nazib, A., Fookes, C., Salvado, O., et al. (2021) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi48211.2021.9433911 · Cited by 5

Artificial Intelligence in Radiation Therapy

Sumida, I. (2022) · Institute of Physics eBooks · doi:10.1088/978-0-7503-3339-9 · Cited by 5

Semantic-Aware Registration with Weakly-Supervised Learning

Jin, Z., Xue, P., Zhang, Y., Cao, X., & Shen, D. G. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-17979-2_16 · Cited by 5

Towards Positive Jacobian: Learn to Postprocess for Diffeomorphic Image Registration with Matrix Exponential

Pal, S., TENNANT, M. T. S., & Ray, N. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956119 · Cited by 5

Deep learning based registration for head motion correction in positron emission tomography as a strategy for improved image quantification

Tumpa, T. R., Gregor, J., Acuff, S. N., & Osborne, D. (2023) · Frontiers in Physics · doi:10.3389/fphy.2023.1123315 · Cited by 5

giRAff: an automated atlas segmentation tool adapted to single histological slices

Piluso, S., Souedet, N., Jan, C., Hérard, A., Clouchoux, C., & Delzescaux, T. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1230814 · Cited by 5

A coarse-to-fine registration method for three-dimensional MR images

Li, C.-X., Zhou, Y., Li, Y., & Yang, S. (2021) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-021-02317-x · Cited by 5

Weighted Clustering for Deep Learning Approach in Heart Disease Diagnosis

Bhandare, T. V., & Rangasamy, S. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120944 · Cited by 5

UDRSNet: An unsupervised deformable registration module based on image structure similarity

Wang, Y., Huang, C., Chang, W., Lu, W., Hui, Q., Jiang, S., Ouyang, X., & Kong, D.-X. (2024) · Medical Physics · doi:10.1002/mp.16986 · Cited by 5

Learning-based deformable image registration: effect of statistical mismatch between train and test images

Ketcha, M. D., Silva, T. D., Han, R., et al. (2019) · Journal of medical imaging · doi:10.1117/1.jmi.6.4.044008 · Cited by 5

Adversarial Network with Dual U-net Model and Multiresolution Loss Computation for Medical Images Registration

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Deformable Image Registration with a Scale-adaptive Convolutional Neural Network

Sang, Y., & Ruan, D. (2020) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe50027.2020.00096 · Cited by 5

Fully Convolutional Network for Consistent Voxel-Wise Correspondence

Zhang, Y., Pei, Y., Guo, Y., Ma, G., Xu, T., & Zha, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6992 · Cited by 5

GMmorph: dynamic spatial matching registration model for 3D medical image based on gated Mamba

Lin, H., Song, Y., & Zhang, Q. (2025) · Physics in Medicine and Biology · doi:10.1088/1361-6560/adaacd · Cited by 4

Intra-Patient Lung CT Registration through Large Deformation Decomposition and Attention-Guided Refinement

Zou, J., Liu, J., Choi, K., & Qin, J. (2023) · Bioengineering · doi:10.3390/bioengineering10050562 · Cited by 4

Unsupervised deep learning for geometric feature detection and multilevel-multimodal image registration

Lajili, M., Belhachmi, Z., Moakher, M., & Theljani, A. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05585-w · Cited by 4

Enhancing 3D medical image registration with cross attention, residual skips, and cascade attention

Anwar, M., He, Z., & Cao, W. (2024) · Intelligent Data Analysis · doi:10.3233/ida-230692 · Cited by 4

DELR-Net: a network for 3D multimodal medical image registration in more lightweight application scenarios

Deng, L., Lan, Q., Yang, X., Wang, J., & Huang, S.-J. (2024) · Abdominal Radiology · doi:10.1007/s00261-024-04602-3 · Cited by 6

A consistent deep registration network with group data modeling

Gu, D., Liu, G., Cao, X., Xue, Z., & Shen, D. G. (2021) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2021.101904 · Cited by 5

DAU‐Net : An unsupervised 3D brain MRI registration model with dual‐attention mechanism

Yang, T., Bai, X., Cui, X., Gong, Y., & Li, L. (2022) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22801 · Cited by 4

Toward an automatic detection of cardiac structures in short and long axis views

Laidi, A., Ammar, M., Daho, M. E. H., et al. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.104187 · Cited by 4

GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration

Sheikhjafari, A., Noga, M., Ahmed, A., Ray, N., & Punithakumar, K. (2023) · IEEE Access · doi:10.1109/access.2023.3238058 · Cited by 4

A Survey on Deep Learning-Based Diffeomorphic Mapping

Hui-lin, Y., Lyu, J., Tam, R. C., & Tang, X. (2023) · Springer eBooks · doi:10.1007/978-3-030-98661-2_108 · Cited by 4

macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

Zhou, Z., Hong, B., Qian, X., Hu, J., Shen, M., Ji, J., & Dai, Y. (2023) · BioMedical Engineering OnLine · doi:10.1186/s12938-023-01143-6 · Cited by 6

Machine learning in image registration

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Stable Separation of Orbits for Finite Abelian Group Actions

Cahill, J., Contreras, A., & Hip, A. A. C. (2024) · Journal of Fourier Analysis and Applications · doi:10.1007/s00041-024-10069-z · Cited by 4

Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration

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BIDMIR: Bi-Directional Medical Image Registration with Symmetric Attention and Cyclic Consistency Regularization

Gao, X., Tao, R., & Guoyan Zheng, A. (2022) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi52829.2022.9761636 · Cited by 4

Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion

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Binary image description using frequent itemsets

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On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration NetworksPreprint

Kuang, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.00068 · Cited by 4

A Comparative Study for Non-rigid Image Registration and Rigid Image RegistrationPreprint

Zhang, X., Dong, H., Gao, D., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.03831 · Cited by 4

Fast learning-based registration of sparse 3D clinical images

Lewis, K. M., Guttag, J. V., & Dalca, A. V. (2019) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 4

Non-rigid Medical Image Registration Based on Unsupervised Self-driven Prior Fusion

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Explicit–implicit symmetric diffeomorphic deformable image registration with convolutional neural network

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Nestedmorph: Enhancing Deformable Medical Image Registration With Nested Attention Mechanisms

Kumar, G. M. K., Mendola, J. D., & Shmuel, A. (2025) · IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv61041.2025.00459 · Cited by 3

An open‐source deep learning framework for respiratory motion monitoring and volumetric imaging during radiation therapy

Hindley, N., & Keall, P. (2025) · Medical Physics · doi:10.1002/mp.18015 · Cited by 3

Triple-Input-Unsupervised neural Networks for deformable image registration

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A training-free recursive multiresolution framework for diffeomorphic deformable image registration

Sheikhjafari, A., Noga, M., Punithakumar, K., et al. (2022) · Applied Intelligence · doi:10.1007/s10489-021-03062-2 · Cited by 3

Feature self-calibration network with global-local training strategy for multi-region deformable medical image registration

Zheng, Z., Cao, W., Lian, D., & Luo, Y. P. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07365-4 · Cited by 3

Reliable and stable fundus image registration based on brain-inspired spatially-varying adaptive pyramid context aggregation network

Xu, J., Yang, K., Chen, Y., Dai, L., Zhang, D.-D., Shuai, P., Shi, R., & Yang, Z. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1117134 · Cited by 3

Recurrent inference machine for medical image registration

Zhang, Y., Zhao, Y., Xue, H., Kellman, P., Klein, S., & Tao, Q. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103748 · Cited by 4

PDE-LDDMM meets NODEs: Introducing neural ordinary differential equation solvers in PDE-constrained Large Deformation Diffeomorphic Metric Mapping

Hernández, M. (2024) · Journal of Computational Science · doi:10.1016/j.jocs.2024.102507 · Cited by 3

To Learn or Not to Learn Features for Deformable Registration?

Majumdar, A., Mehta, R., & Sivaswamy, J. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-02628-8_6 · Cited by 3

Modern Approaches for Thoracic Image Registration and Respiratory Motion Management in Oncology

Jank, E., Liu, E. Y., Delery, W., Boyle, P., Miller, C. R., Andosca, R., Naumann, L., Upadhyay, R., Kadambi, A., Low, D. A., et al. (2025) · Radiology Imaging Cancer · doi:10.1148/rycan.250023 · Cited by 2

Lightweight hybrid Mamba2 for unsupervised medical image registration

Xu, A., Shen, S., Chen, W., & Zhang, X. (2025) · Medical Physics · doi:10.1002/mp.18104 · Cited by 2

Research on the algorithm of electromagnetic leakage reduction and sequence of image migration feature retrieval

Miao, C., & Hu, J. (2019) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-019-0430-y · Cited by 2

Battery screen print defect detection based on stationary velocity fields neural network matching and optical flow rectification

Zhao, Z., Li, B., Zhang, S., Liu, T., & Cao, J. (2022) · Review of Scientific Instruments · doi:10.1063/5.0095555 · Cited by 2

Double-Camera Fusion System for Animal-Position Awareness in Farming Pens

Huo, S., Sun, Y., Guo, Q., Tan, T., Bolhuis, J. E., Bijma, P., & de With, P. H. N. (2022) · Foods · doi:10.3390/foods12010084 · Cited by 2

PPR-Net: Patch-Based Multi-scale Pyramid Registration Network for Defect Detection of Printed Label

Li, D., Li, Y., Li, J., et al. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26284-5_19 · Cited by 2

Robust Unsupervised Image to Template Registration Without Image Similarity Loss

Hachicha, S., Le, C., Wargnier-Dauchelle, V., & Sdika, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-44917-8_14 · Cited by 2

CRCS: An automatic image processing pipeline for hormone level analysis of Cushing’s disease

Li, H., Xie, J., Song, J., Jin, C., Xin, H., Pan, X., Ke, J., Yuan, Y., Shen, H., & Ning, G. (2023) · Methods · doi:10.1016/j.ymeth.2023.12.003 · Cited by 2

Deformation Field Fusion for Medical Image Registration

Zhao, H., Zhang, C., Liu, D., & Wu, L. Y. (2025) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3707462 · Cited by 2

A Plug-In Curriculum Scheduler for Improved Deformable Medical Image Registration

Shin, J., Kim, Y., & Lee, J. (2025) · IEEE Access · doi:10.1109/access.2025.3539890 · Cited by 2

SeRN: A Two-Stage Framework of Registration for Semi-Supervised Learning for Medical Images

Jia, D., Luo, X., Ding, W., Huang, L., & Zhuang, X. (2021) · Journal of Shanghai Jiaotong University (Science) · doi:10.1007/s12204-021-2383-4 · Cited by 2

Deep Volumetric Descriptor Learning for Dense Correspondence of Cone-Beam Computed Tomography via Spectral Maps

Sun, D., Zhang, Y., Pei, Y., Li, P., Nie, K., Xu, T., Wang, T., & Zha, H. (2022) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3158065 · Cited by 2

A Deep Learning Network for Coarse-to-Fine Deformable Medical Image Registration

Zhang, L., Hu, S., Li, G., Liu, M., Wang, Y., Fu, D., & Zhang, W. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-8083-3_35 · Cited by 2

Dense Deformation Network for High Resolution Tissue Cleared Image RegistrationPreprint

Nazib, A., Fookes, C., & Perrin, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.06180 · Cited by 3

Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion TrackingPreprint

Hering, A., Kuckertz, S., Heldmann, S., et al. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.01859 · Cited by 2

Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image RegistrationPreprint

Mahapatra, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.08593 · Cited by 3

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance ImagesPreprint

Ye, M., Kanski, M., Yang, D., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.02772 · Cited by 2

An Unsupervised Single-Modal Medical Image Registration Algorithm Based on Deep Learning

郑, 子. (2023) · Computer Science and Application · doi:10.12677/csa.2023.131006 · Cited by 1

Exploring Temporal Constraints for Unsupervised Iris Motion Tracking in AS-OCT Videos

Hu, L., Wu, X., Higashita, R., Xing, X., Zhou, M., Lin, S., Li, X., Li, X., Duan, J., & Liu, J. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890483 · Cited by 1

Semi-supervised motion flow and myocardial strain estimation in cardiac videos using distance maps and memory networks

Portal, N., Dietenbeck, T., Khan, S., Nguyen, V., Prigent, M., Zarai, M., Bouazizi, K., Sylvain, J., Redheuil, A. B., Montalescot, G., et al. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110739 · Cited by 1

MoE-Morph: Lightweight Pyramid Model With Heterogeneous Mixture of Experts for Deformable Medical Image Registration

Lin, H., Song, Y., Su, Y., & Ma, Y. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3620406 · Cited by 1

Deep Learning Advances for Brain Tumor Diagnosis and Multimodal MRI Registration

Kothapalle, M. S. R., & Nelakuditi, U. R. (2025) · International Conference on Electronic Circuits and Signaling Technologies (ICECST) · doi:10.1109/icecst66106.2025.11307326 · Cited by 1

Contour-based Medical Image Fusion for Biopsy

Wu, H., Chen, Y., Huang, B., et al. (2020) · International Conference on Advanced Computational Intelligence (ICACI) · doi:10.1109/icaci49185.2020.9177501 · Cited by 1

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI

Shen, W., Chen, L., Wei, D., Qiao, Y., Zhan, Y., Shen, D. G., & Wang, Q. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87589-3_23 · Cited by 1

An adaptive registration algorithm for zebrafish larval brain images

Deb, S., Tiso, N., Grisan, E., et al. (2022) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2022.106658 · Cited by 1

Inception Based Medical Image Registration

Yan, W., Zhang, B., Zhang, C., et al. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-9423-3_1 · Cited by 1

Unsupervised Medical Image Registration Based on Multi-scale Cascade Network

Ge, Y., Ma, X., Chen, Q., & Ji, Z. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-18910-4_21 · Cited by 1

Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods

Berg, A., Vandersmissen, E., Wimmer, M., Major, D., Neubauer, T., Lenis, D., Cant, J., Snoeckx, A., & Bühler, K. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.106543 · Cited by 1

A Hybrid Image Registration for Large Global and Non-linear Local Deformed Images

AlHmoud, I. W., Gokaraju, B., & Bikdash, M. U. (2024) · IEEE Access · doi:10.1109/access.2024.3511377 · Cited by 1

Cardiac cavity segmentation review in the past decade: Methods and future perspectives

Li, F., Li, W., Shu, Y., Peng, Y., & Xiao, B. (2025) · Neurocomputing · doi:10.1016/j.neucom.2024.129326 · Cited by 1

Unsupervised Deformable Image Registration Method with Cyclic Consistency

Sheng-lin, Y., Wu, T., Ge, M., & Dong, W. (2023) · Journal of Computer-Aided Design & Computer Graphics · doi:10.3724/sp.j.1089.2023.19388 · Cited by 1

Improving Generalization of Medical Image Registration Foundation Model

Hu, J., Yu, K., Xian, H., Hu, S., & Wang, X. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228992 · Cited by 4

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven

Schmitz, R., Werner, R., & Rösch, T. (2019) · Zeitschrift für Gastroenterologie · doi:10.1055/a-0891-4032 · Cited by 1

An Unsupervised Dual Attention Method for 3D Medical Image Registration

Yin, X., Qian, W., Xu, D., et al. (2021) · International Conference on Computer and Communications (ICCC) · doi:10.1109/iccc54389.2021.9674730 · Cited by 1

Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography

Nie, K., Pei, Y., Sun, D., et al. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-18910-4_34 · Cited by 1

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure LearningPreprint

Chen, X., Xia, Y., Ravikumar, N., & Frangi, A. F. (2021) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · doi:10.48550/arxiv.2106.06637 · Cited by 4

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Deformable 3D Brain MRI Registration with Deep Learning

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