{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/image-registration/papers/5","list_of":"/task/image-registration","task":"Image Registration","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":5,"pages_in_order":10,"rows_per_page":100,"rows":[401,500],"of":953,"counts":{"archive_papers_tagged":953,"with_a_code_link":332,"where_syntology_ran_a_sample":32,"not_listed_spam_title":0,"listed":953,"listed_where_code_ran":32,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":27,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":27,"listed_every_run_a_failure_of_syntologys_instrument":5,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/image-registration","prev":"/task/image-registration/papers/4","next":"/task/image-registration/papers/6","papers":[{"url":null,"slug":"a-symmetric-dynamic-learning-framework-for","title":"A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration","date":"2024-11-05","arxiv_id":"2411.02888","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-deformable-image-registration","title":"Multi-modal deformable image registration using untrained neural networks","date":"2024-11-04","arxiv_id":"2411.02672","repositories_listed":0,"syntology":null},{"url":null,"slug":"mambareg-mamba-based-disentangled","title":"MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration","date":"2024-11-03","arxiv_id":"2411.01399","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-counterexample-in-cross-correlation","title":"A Counterexample in Cross-Correlation Template Matching","date":"2024-10-24","arxiv_id":"2410.19085","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-instance-optimization-in-deformable","title":"Improving Instance Optimization in Deformable Image Registration with Gradient Projection","date":"2024-10-21","arxiv_id":"2410.15767","repositories_listed":0,"syntology":null},{"url":null,"slug":"2d-3d-deformable-image-registration-of","title":"2D-3D Deformable Image Registration of Histology Slide and Micro-CT with ML-based Initialization","date":"2024-10-18","arxiv_id":"2410.14343","repositories_listed":0,"syntology":null},{"url":null,"slug":"gesh-net-graph-enhanced-spherical-harmonic","title":"GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration","date":"2024-10-18","arxiv_id":"2410.14805","repositories_listed":0,"syntology":null},{"url":null,"slug":"rs-moco-a-deep-learning-based-topology","title":"RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping","date":"2024-10-15","arxiv_id":"2410.11651","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-counterexample-in-image-registration","title":"A Counterexample in Image Registration","date":"2024-10-14","arxiv_id":"2410.10725","repositories_listed":0,"syntology":null},{"url":null,"slug":"stationary-velocity-fields-on-matrix-groups","title":"Stationary Velocity Fields on Matrix Groups for Deformable Image Registration","date":"2024-10-14","arxiv_id":"2410.10997","repositories_listed":0,"syntology":null},{"url":null,"slug":"shuffled-linear-regression-via-spectral","title":"Shuffled Linear Regression via Spectral Matching","date":"2024-09-30","arxiv_id":"2410.00078","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-attention-frequency-fusion-at-multi","title":"Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration","date":"2024-09-29","arxiv_id":"2409.19658","repositories_listed":0,"syntology":null},{"url":null,"slug":"adept-a-noninvasive-method-for-determining","title":"ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue","date":"2024-09-27","arxiv_id":"2409.19081","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-registration-of-shg-and-h-e-images","title":"Automatic Registration of SHG and H&E Images with Feature-based Initial Alignment and Intensity-based Instance Optimization: Contribution to the COMULIS Challenge","date":"2024-09-24","arxiv_id":"2409.15931","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-solution-for-co-locating-2d-histology","title":"A solution for co-locating 2D histology images in 3D for histology-to-CT and MR image registration: closing the loop for bone sarcoma treatment planning","date":"2024-09-20","arxiv_id":"2409.13217","repositories_listed":0,"syntology":null},{"url":null,"slug":"tumor-aware-recurrent-inter-patient","title":"Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer","date":"2024-09-18","arxiv_id":"2409.11910","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-registration-with-averaging-network-and","title":"Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI","date":"2024-09-04","arxiv_id":"2409.02348","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-unsupervised-brain-mri-image","title":"Large Scale Unsupervised Brain MRI Image Registration Solution for Learn2Reg 2024","date":"2024-09-02","arxiv_id":"2409.00917","repositories_listed":0,"syntology":null},{"url":null,"slug":"h-sganet-hybrid-sparse-graph-attention","title":"H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration","date":"2024-08-29","arxiv_id":"2408.16719","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometric-artifact-correction-for-symmetric","title":"Geometric Artifact Correction for Symmetric Multi-Linear Trajectory CT: Theory, Method, and Generalization","date":"2024-08-27","arxiv_id":"2408.15069","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-of-disentanglement-to-map","title":"Application of Disentanglement to Map Registration Problem","date":"2024-08-26","arxiv_id":"2408.14152","repositories_listed":0,"syntology":null},{"url":null,"slug":"reliable-multi-modal-medical-image-to-image","title":"Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data","date":"2024-08-26","arxiv_id":"2408.14270","repositories_listed":0,"syntology":null},{"url":null,"slug":"methods-based-on-radon-transform-for-non","title":"Methods based on Radon transform for non-affine deformable image registration of noisy images","date":"2024-08-18","arxiv_id":"2409.00037","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-image-registration-with-multi","title":"Deformable Image Registration with Multi-scale Feature Fusion from Shared Encoder, Auxiliary and Pyramid Decoders","date":"2024-08-11","arxiv_id":"2408.05717","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-self-supervised-image-registration-approach","title":"A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer","date":"2024-07-24","arxiv_id":"2407.17114","repositories_listed":0,"syntology":null},{"url":null,"slug":"general-vision-encoder-features-as-guidance","title":"General Vision Encoder Features as Guidance in Medical Image Registration","date":"2024-07-18","arxiv_id":"2407.13311","repositories_listed":0,"syntology":null},{"url":null,"slug":"dd-rotir-dual-domain-image-registration-via","title":"DD_RoTIR: Dual-Domain Image Registration via Image Translation and Hierarchical Feature-matching","date":"2024-07-15","arxiv_id":"2407.11223","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-resolution-hyperspectral-video-imaging","title":"High-Resolution Hyperspectral Video Imaging Using A Hexagonal Camera Array","date":"2024-07-12","arxiv_id":"2407.09038","repositories_listed":0,"syntology":null},{"url":null,"slug":"gui-based-pedicle-screw-planning-on","title":"GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentation","date":"2024-07-11","arxiv_id":"2407.08347","repositories_listed":0,"syntology":null},{"url":null,"slug":"maplocnet-coarse-to-fine-feature-registration","title":"MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps","date":"2024-07-11","arxiv_id":"2407.08561","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-registration-and-fusion-method-for","title":"A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution","date":"2024-07-07","arxiv_id":"2407.05279","repositories_listed":0,"syntology":null},{"url":null,"slug":"let-it-shine-autofluorescence-of-papanicolaou","title":"Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection","date":"2024-07-02","arxiv_id":"2407.01869","repositories_listed":0,"syntology":null},{"url":null,"slug":"2407-00678","title":"A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound","date":"2024-06-30","arxiv_id":"2407.00678","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-universal-medical-image-registration","title":"Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning","date":"2024-06-25","arxiv_id":"2406.17575","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-deformable-image-registration-for","title":"Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss","date":"2024-06-21","arxiv_id":"2406.15172","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-rank-based-motion-correction-followed-by","title":"Low-rank based motion correction followed by automatic frame selection in DT-CMR","date":"2024-06-19","arxiv_id":"2406.13708","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-inference-machine-for-medical-image","title":"Recurrent Inference Machine for Medical Image Registration","date":"2024-06-19","arxiv_id":"2406.13413","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-lightweight-residual-network-for","title":"A lightweight residual network for unsupervised deformable image registration","date":"2024-06-14","arxiv_id":"2406.09774","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-deep-learning-based-automatic","title":"Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models","date":"2024-06-10","arxiv_id":"2406.06372","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussian-representation-for-deformable-image","title":"Gaussian Primitives for Deformable Image Registration","date":"2024-06-05","arxiv_id":"2406.03394","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-rgb-nir-cross-modality-image","title":"Towards RGB-NIR Cross-modality Image Registration and Beyond","date":"2024-05-30","arxiv_id":"2405.19914","repositories_listed":0,"syntology":null},{"url":null,"slug":"llama-reg-using-llama-2-for-unsupervised","title":"LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration","date":"2024-05-29","arxiv_id":"2405.18774","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-color-virtual-h-e-staining-with-in-and","title":"Single color digital H&E staining with In-and-Out Net","date":"2024-05-22","arxiv_id":"2405.13278","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-local-boundary-conditions-to-improve","title":"Adaptive local boundary conditions to improve Deformable Image Registration","date":"2024-05-21","arxiv_id":"2405.12791","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-image-registration-and-subpixel-estimation","title":"On Image Registration and Subpixel Estimation","date":"2024-05-21","arxiv_id":"2405.12927","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-alignment-and-registration","title":"Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy","date":"2024-05-21","arxiv_id":"2405.12850","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-barely-supervised-segmentation","title":"Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation Perspective","date":"2024-05-16","arxiv_id":"2405.09777","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-segmentation-of-the-kidneys-and","title":"Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network","date":"2024-05-14","arxiv_id":"2405.08282","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-method-for-supervoxel-wise-association","title":"A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms","date":"2024-05-13","arxiv_id":"2405.07762","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-skin-feature-tracking-with-deep","title":"Unsupervised Skin Feature Tracking with Deep Neural Networks","date":"2024-05-08","arxiv_id":"2405.04943","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffeomorphic-transformer-based-abdomen-mri","title":"Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration","date":"2024-05-04","arxiv_id":"2405.02692","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-spatial-temporal-deformable-image","title":"Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods","date":"2024-05-01","arxiv_id":"2405.00430","repositories_listed":0,"syntology":null},{"url":null,"slug":"conked-improving-descriptor-learning-for","title":"ConKeD++ -- Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses","date":"2024-04-25","arxiv_id":"2404.16773","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-registration-based-automated-lesion","title":"Image registration based automated lesion correspondence pipeline for longitudinal CT data","date":"2024-04-25","arxiv_id":"2404.16544","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-local-feature-matching-for","title":"Transformer-Based Local Feature Matching for Multimodal Image Registration","date":"2024-04-25","arxiv_id":"2404.16802","repositories_listed":0,"syntology":null},{"url":null,"slug":"regwsi-whole-slide-image-registration-using","title":"RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge","date":"2024-04-19","arxiv_id":"2404.13108","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-mri-sequence-registration-for-ai","title":"Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis","date":"2024-04-15","arxiv_id":"2404.09666","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffop-net-a-differential-operator-based","title":"Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks","date":"2024-04-05","arxiv_id":"2404.04244","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-ordinary-differential-equation-based-1","title":"Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization","date":"2024-04-02","arxiv_id":"2404.02106","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-stage-semi-supervised-learning-for","title":"A multi-stage semi-supervised learning for ankle fracture classification on CT images","date":"2024-03-29","arxiv_id":"2403.19983","repositories_listed":0,"syntology":null},{"url":null,"slug":"medical-image-registration-and-its","title":"Medical Image Registration and Its Application in Retinal Images: A Review","date":"2024-03-25","arxiv_id":"2403.16502","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-rank-groupwise-deformations-for-motion","title":"Low Rank Groupwise Deformations for Motion Tracking in Cardiac Cine MRI","date":"2024-03-24","arxiv_id":"2403.16240","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-spectrum-based-image-denoising-method-with","title":"A Spectrum-based Image Denoising Method with Edge Feature Enhancement","date":"2024-03-16","arxiv_id":"2403.11036","repositories_listed":0,"syntology":null},{"url":null,"slug":"udcr-unsupervised-aortic-dsa-cta-rigid","title":"UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation","date":"2024-03-09","arxiv_id":"2403.05753","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-registration-uncertainty-to-segmentation","title":"From Registration Uncertainty to Segmentation Uncertainty","date":"2024-03-08","arxiv_id":"2403.05111","repositories_listed":0,"syntology":null},{"url":null,"slug":"coronary-artery-segmentation-in-non-contrast","title":"Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning","date":"2024-03-04","arxiv_id":"2403.02544","repositories_listed":0,"syntology":null},{"url":null,"slug":"modality-agnostic-structural-image","title":"Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration","date":"2024-02-29","arxiv_id":"2402.18933","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-learning-to-improve-cardiac-late","title":"Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images","date":"2024-02-28","arxiv_id":"2402.18507","repositories_listed":0,"syntology":null},{"url":null,"slug":"general-purpose-image-encoder-dinov2-for","title":"General Purpose Image Encoder DINOv2 for Medical Image Registration","date":"2024-02-24","arxiv_id":"2402.15687","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-objective-learning-for-deformable-image","title":"Multi-Objective Learning for Deformable Image Registration","date":"2024-02-23","arxiv_id":"2402.16658","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-registration-based-synthesis-a","title":"Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis","date":"2024-02-19","arxiv_id":"2402.12288","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-weakly-supervised-neural-network","title":"Semi-weakly-supervised neural network training for medical image registration","date":"2024-02-16","arxiv_id":"2402.10728","repositories_listed":0,"syntology":null},{"url":null,"slug":"tai-gan-a-temporally-and-anatomically","title":"TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction","date":"2024-02-14","arxiv_id":"2402.09567","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-graphics-primitives-based-deformable","title":"Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction","date":"2024-02-08","arxiv_id":"2402.05568","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tournament-of-transformation-models-b","title":"A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration","date":"2024-01-30","arxiv_id":"2401.16867","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-3d-world-models-for-multi-image-super","title":"Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow","date":"2024-01-30","arxiv_id":"2401.16972","repositories_listed":0,"syntology":null},{"url":null,"slug":"rotir-rotation-equivariant-network-and","title":"RoTIR: Rotation-Equivariant Network and Transformers for Fish Scale Image Registration","date":"2024-01-20","arxiv_id":"2401.11270","repositories_listed":0,"syntology":null},{"url":null,"slug":"breastregnet-a-deep-learning-framework-for","title":"BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images","date":"2024-01-18","arxiv_id":"2401.09791","repositories_listed":0,"syntology":null},{"url":null,"slug":"slicer-networks","title":"Slicer Networks","date":"2024-01-18","arxiv_id":"2401.09833","repositories_listed":0,"syntology":null},{"url":null,"slug":"conked-multiview-contrastive-descriptor","title":"ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration","date":"2024-01-11","arxiv_id":"2401.05901","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-intrinsic-groupwise-image","title":"Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration","date":"2024-01-04","arxiv_id":"2401.02141","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-admm-and-over-relaxed-admm","title":"Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems","date":"2024-01-01","arxiv_id":"2401.00657","repositories_listed":0,"syntology":null},{"url":null,"slug":"busref-infrared-visible-images-registration","title":"BusReF: Infrared-Visible images registration and fusion focus on reconstructible area using one set of features","date":"2023-12-30","arxiv_id":"2401.00285","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-image-registration-with","title":"Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium","date":"2023-12-22","arxiv_id":"2312.14987","repositories_listed":0,"syntology":null},{"url":null,"slug":"patchmorph-a-stochastic-deep-learning","title":"PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches","date":"2023-12-12","arxiv_id":"2312.06958","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dynamic-interactive-learning-framework-for","title":"A dynamic interactive learning framework for automated 3D medical image segmentation","date":"2023-12-11","arxiv_id":"2312.06072","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-adaptive-correspondence-scoring-framework","title":"Adaptive Correspondence Scoring for Unsupervised Medical Image Registration","date":"2023-12-01","arxiv_id":"2312.00837","repositories_listed":0,"syntology":null},{"url":null,"slug":"heteroscedastic-uncertainty-estimation-for","title":"Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration","date":"2023-12-01","arxiv_id":"2312.00836","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-image-registration-a-hybrid-approach","title":"Adaptive Image Registration: A Hybrid Approach Integrating Deep Learning and Optimization Functions for Enhanced Precision","date":"2023-11-27","arxiv_id":"2311.15497","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-multi-modal-image-registration-for","title":"Deformable multi-modal image registration for the correlation between optical measurements and histology images","date":"2023-11-24","arxiv_id":"2311.14414","repositories_listed":0,"syntology":null},{"url":null,"slug":"pet-tracer-conversion-among-brain-pet-via","title":"PET Tracer Conversion among Brain PET via Variable Augmented Invertible Network","date":"2023-11-01","arxiv_id":"2311.00735","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-synthetic-mri-generation-from-ct","title":"Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction","date":"2023-10-31","arxiv_id":"2310.20604","repositories_listed":0,"syntology":null},{"url":null,"slug":"scanning-phase-imaging-without-accurate","title":"Scanning diffraction imaging without stable illumination and scan position information","date":"2023-10-31","arxiv_id":"2311.08415","repositories_listed":0,"syntology":null},{"url":null,"slug":"trusted-the-paired-3d-transabdominal","title":"TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research","date":"2023-10-19","arxiv_id":"2310.12646","repositories_listed":0,"syntology":null},{"url":null,"slug":"co-learning-semantic-aware-unsupervised","title":"Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration","date":"2023-10-17","arxiv_id":"2310.11040","repositories_listed":0,"syntology":null},{"url":null,"slug":"longitudinal-volumetric-study-for-the","title":"Longitudinal Volumetric Study for the Progression of Alzheimer's Disease from Structural MRI","date":"2023-10-09","arxiv_id":"2310.05558","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-plug-and-play-image-registration-network","title":"A Plug-and-Play Image Registration Network","date":"2023-10-06","arxiv_id":"2310.04297","repositories_listed":0,"syntology":null},{"url":null,"slug":"hessian-based-similarity-metric-for","title":"Hessian-based Similarity Metric for Multimodal Medical Image Registration","date":"2023-10-06","arxiv_id":"2310.04009","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-internal-disorders-in-fruit-by-ct","title":"Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders","date":"2023-10-03","arxiv_id":"2310.01987","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-expected-appearances-for","title":"Learning Expected Appearances for Intraoperative Registration during Neurosurgery","date":"2023-10-03","arxiv_id":"2310.01735","repositories_listed":0,"syntology":null}],"record_sha256":"78abc7458b6fbc530f2f4b1d66f3dfe8e45bf410f4d0c490730a84dc13ff1e90","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}