{"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/8","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":8,"pages_in_order":10,"rows_per_page":100,"rows":[701,800],"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/7","next":"/task/image-registration/papers/9","papers":[{"url":null,"slug":"uncertainty-driven-probabilistic-voxel","title":"Uncertainty driven probabilistic voxel selection for image registration","date":"2020-10-02","arxiv_id":"2010.00988","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-group-wise-variational-diffeomorphic","title":"Deep Group-wise Variational Diffeomorphic Image Registration","date":"2020-10-01","arxiv_id":"2010.00231","repositories_listed":0,"syntology":null},{"url":null,"slug":"f3rnet-full-resolution-residual-registration","title":"F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration","date":"2020-09-15","arxiv_id":"2009.07151","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-medical-image-registration-using","title":"Multimodal Medical Image registration using Discrete Wavelet Transform and Gaussian Pyramids","date":"2020-09-13","arxiv_id":"2009.05978","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussian-process-gradient-maps-for-loop","title":"Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments","date":"2020-09-01","arxiv_id":"2009.00221","repositories_listed":0,"syntology":null},{"url":null,"slug":"introduction-to-medical-image-registration","title":"Introduction to Medical Image Registration with DeepReg, Between Old and New","date":"2020-08-29","arxiv_id":"2009.01924","repositories_listed":0,"syntology":null},{"url":null,"slug":"longitudinal-image-registration-with-temporal","title":"Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination","date":"2020-08-29","arxiv_id":"2008.13002","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-network-for-joint-registration-and","title":"A Deep Network for Joint Registration and Reconstruction of Images with Pathologies","date":"2020-08-17","arxiv_id":"2008.07628","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modality-multi-atlas-segmentation-using","title":"Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks","date":"2020-08-15","arxiv_id":"2008.08946","repositories_listed":0,"syntology":null},{"url":null,"slug":"cyclemorph-cycle-consistent-unsupervised","title":"CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration","date":"2020-08-13","arxiv_id":"2008.05772","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-deep-learning-based-deformable","title":"Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework","date":"2020-08-10","arxiv_id":"2008.03949","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-coarse-to-fine-framework-for-unsupervised","title":"A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint","date":"2020-08-05","arxiv_id":"2008.01896","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodality-biomedical-image-registration","title":"Multimodality Biomedical Image Registration using Free Point Transformer Networks","date":"2020-08-05","arxiv_id":"2008.01885","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-complementary-joint-model-for-complex","title":"Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images","date":"2020-08-03","arxiv_id":"2008.00710","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussian-kernel-smoothing","title":"Gaussian kernel smoothing","date":"2020-07-19","arxiv_id":"2007.09539","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-uni-and-multi-modal-stream","title":"Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration","date":"2020-07-06","arxiv_id":"2007.02790","repositories_listed":0,"syntology":null},{"url":null,"slug":"dueling-deep-q-network-for-unsupervised-inter","title":"Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes","date":"2020-07-03","arxiv_id":"2007.01522","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-discovery-of-anatomical-shape","title":"Self-Supervised Discovery of Anatomical Shape Landmarks","date":"2020-06-13","arxiv_id":"2006.07525","repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-bayesian-modelling-for-nonlinear","title":"Flexible Bayesian Modelling for Nonlinear Image Registration","date":"2020-06-03","arxiv_id":"2006.02338","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatiotemporal-motion-prediction-in-free","title":"Spatiotemporal motion prediction in free-breathing liver scans via a recurrent multi-scale encoder decoder","date":"2020-05-28","arxiv_id":"2005.13071","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-of-multimodal-image","title":"Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies","date":"2020-05-28","arxiv_id":"2005.14107","repositories_listed":0,"syntology":null},{"url":null,"slug":"tackling-the-problem-of-large-deformations-in","title":"Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings","date":"2020-05-27","arxiv_id":"2005.13338","repositories_listed":0,"syntology":null},{"url":null,"slug":"jssr-a-joint-synthesis-segmentation-and","title":"JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans","date":"2020-05-25","arxiv_id":"2005.12209","repositories_listed":0,"syntology":null},{"url":null,"slug":"medical-image-generation-using-generative","title":"Medical Image Generation using Generative Adversarial Networks","date":"2020-05-19","arxiv_id":"2005.10687","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-deformable-registration-of-longitudinal","title":"3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning","date":"2020-05-15","arxiv_id":"2005.07545","repositories_listed":0,"syntology":null},{"url":null,"slug":"convolutional-neural-networks-vs-deformable","title":"Convolutional Neural Networks vs. Deformable Image Registration For Medical Slice Interpolation","date":"2020-04-28","arxiv_id":"2004.13784","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-multi-modal-image-registration","title":"SynthMorph: learning contrast-invariant registration without acquired images","date":"2020-04-21","arxiv_id":"2004.10282","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-deformable-medical-image","title":"Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation","date":"2020-04-16","arxiv_id":"2004.07624","repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-automated-myocardial-strain-estimation","title":"Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank","date":"2020-04-15","arxiv_id":"2004.07064","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-robust-method-for-image-stitching","title":"A Robust Method for Image Stitching","date":"2020-04-08","arxiv_id":"2004.03860","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-photometric-consistency-gradient-based","title":"Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching","date":"2020-04-08","arxiv_id":"2004.04090","repositories_listed":0,"syntology":null},{"url":null,"slug":"registration-by-tracking-for-sequential-2d","title":"Registration by tracking for sequential 2D MRI","date":"2020-03-24","arxiv_id":"2003.10819","repositories_listed":0,"syntology":null},{"url":null,"slug":"do-public-datasets-assure-unbiased","title":"Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation?","date":"2020-03-20","arxiv_id":"2003.09483","repositories_listed":0,"syntology":null},{"url":null,"slug":"rgb-topography-and-x-rays-image-registration","title":"RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis Children Patient Follow-up","date":"2020-03-20","arxiv_id":"2003.09404","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-pancreatic-adenocarcinoma-in-multi","title":"Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble","date":"2020-03-18","arxiv_id":"2003.08441","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multiple-decoder-cnn-for-inverse-consistent","title":"A Multiple Decoder CNN for Inverse Consistent 3D Image Registration","date":"2020-02-15","arxiv_id":"2002.06468","repositories_listed":0,"syntology":null},{"url":null,"slug":"medical-image-registration-using-deep-neural","title":"Medical Image Registration Using Deep Neural Networks: A Comprehensive Review","date":"2020-02-09","arxiv_id":"2002.03401","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-multimodal-image-registration-using","title":"Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning","date":"2020-01-29","arxiv_id":"2002.03733","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-of-multimodal-image-1","title":"Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Mover’s discrepancies","date":"2020-01-25","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"discovering-salient-anatomical-landmarks-by","title":"Discovering Salient Anatomical Landmarks by Predicting Human Gaze","date":"2020-01-22","arxiv_id":"2001.08188","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerating-the-registration-of-image","title":"Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies","date":"2020-01-18","arxiv_id":"2001.06613","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-study-for-non-rigid-image","title":"A Comparative Study for Non-rigid Image Registration and Rigid Image Registration","date":"2020-01-12","arxiv_id":"2001.03831","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-investigation-of-feature-based-nonrigid","title":"An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process","date":"2020-01-12","arxiv_id":"2001.05862","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-in-medical-image-registration-a-1","title":"Deep Learning in Medical Image Registration: A Review","date":"2019-12-27","arxiv_id":"1912.12318","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-identification-and-growth-detection-of","title":"Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks","date":"2019-12-22","arxiv_id":"1912.10525","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-an-imitation-learning-network-for","title":"Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach","date":"2019-12-19","arxiv_id":"1912.10837","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-medical-image-reconstruction-via","title":"Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction","date":"2019-12-16","arxiv_id":"1912.07648","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepmeshflow-content-adaptive-mesh","title":"DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration","date":"2019-12-11","arxiv_id":"1912.05131","repositories_listed":0,"syntology":null},{"url":null,"slug":"vine-disease-detection-in-uav-multispectral","title":"Vine disease detection in UAV multispectral images with deep learning segmentation approach","date":"2019-12-11","arxiv_id":"1912.05281","repositories_listed":0,"syntology":null},{"url":null,"slug":"oasis-one-pass-aligned-atlas-set-for-image","title":"OASIS: One-pass aligned Atlas Set for Image Segmentation","date":"2019-12-05","arxiv_id":"1912.02417","repositories_listed":0,"syntology":null},{"url":null,"slug":"scene-recognition-based-on-dnn-and-game","title":"Scene recognition based on DNN and game theory with its applications in human-robot interaction","date":"2019-12-03","arxiv_id":"1912.01293","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-adversarial-networks-and-domain","title":"Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration","date":"2019-10-18","arxiv_id":"1910.08593","repositories_listed":0,"syntology":null},{"url":null,"slug":"breathing-deformation-model-application-to","title":"Breathing deformation model -- application to multi-resolution abdominal MRI","date":"2019-10-10","arxiv_id":"1910.04456","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-step-pattern-representation-for","title":"A Deep Step Pattern Representation for Multimodal Retinal Image Registration","date":"2019-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-graphical-feature-learning-for-the","title":"Deep Graphical Feature Learning for the Feature Matching Problem","date":"2019-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-generalized-entropies-in-mutual","title":"Analysis of Generalized Entropies in Mutual Information Medical Image Registration","date":"2019-09-24","arxiv_id":"1909.10690","repositories_listed":0,"syntology":null},{"url":null,"slug":"190910084","title":"mlVIRNET: Multilevel Variational Image Registration Network","date":"2019-09-22","arxiv_id":"1909.10084","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-image-registration-using-laplacian","title":"Multimodal image registration using Laplacian commutators","date":"2019-09-09","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"geolocation-of-an-aircraft-using-image","title":"Geolocation of an aircraft using image registration coupling modes for autonomous navigation","date":"2019-09-06","arxiv_id":"1909.02875","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-temporal-high-resolution-aerial-image","title":"Multi-Temporal Aerial Image Registration Using Semantic Features","date":"2019-08-30","arxiv_id":"1908.11822","repositories_listed":0,"syntology":null},{"url":null,"slug":"mutual-information-neural-estimation-in-cnn","title":"KLDivNet: An unsupervised neural network for multi-modality image registration","date":"2019-08-23","arxiv_id":"1908.08767","repositories_listed":0,"syntology":null},{"url":null,"slug":"190807709","title":"Are Registration Uncertainty and Error Monotonically Associated","date":"2019-08-21","arxiv_id":"1908.07709","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-learning-for-multi-modal-real-time","title":"Zero Shot Learning for Multi-Modal Real Time Image Registration","date":"2019-08-17","arxiv_id":"1908.06213","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cooperative-autoencoder-for-population","title":"A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration","date":"2019-08-16","arxiv_id":"1908.05825","repositories_listed":0,"syntology":null},{"url":null,"slug":"conv2warp-an-unsupervised-deformable-image","title":"Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping","date":"2019-08-16","arxiv_id":"1908.06194","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-labeled-atlases-are-necessary-for-deep","title":"Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation","date":"2019-08-13","arxiv_id":"1908.04466","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-medical-image-registration-using-a","title":"Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior","date":"2019-08-02","arxiv_id":"1908.00788","repositories_listed":0,"syntology":null},{"url":null,"slug":"marmonet-a-pipeline-for-automated-projection","title":"MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography","date":"2019-08-02","arxiv_id":"1908.00876","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthesis-and-inpainting-based-mr-ct","title":"Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors","date":"2019-07-30","arxiv_id":"1907.13020","repositories_listed":0,"syntology":null},{"url":null,"slug":"delving-deep-into-liver-focal-lesion","title":"Delving Deep into Liver Focal Lesion Detection: A Preliminary Study","date":"2019-07-24","arxiv_id":"1907.10346","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-registration-using-average","title":"Deformable Registration Using Average Geometric Transformations for Brain MR Images","date":"2019-07-23","arxiv_id":"1907.09670","repositories_listed":0,"syntology":null},{"url":null,"slug":"variational-registration-of-multiple-images","title":"Variational Registration of Multiple Images with the SVD based SqN Distance Measure","date":"2019-07-23","arxiv_id":"1907.09732","repositories_listed":0,"syntology":null},{"url":null,"slug":"whole-sample-mapping-of-cancerous-and-benign","title":"Whole-Sample Mapping of Cancerous and Benign Tissue Properties","date":"2019-07-23","arxiv_id":"1907.09974","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-distance-measures-for-feature","title":"Evaluation of Distance Measures for Feature based Image Registration using AlexNet","date":"2019-07-20","arxiv_id":"1907.12921","repositories_listed":0,"syntology":null},{"url":null,"slug":"fire-unsupervised-bi-directional-inter","title":"FIRE: Unsupervised bi-directional inter-modality registration using deep networks","date":"2019-07-11","arxiv_id":"1907.05062","repositories_listed":0,"syntology":null},{"url":null,"slug":"amd-severity-prediction-and-explainability","title":"AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering","date":"2019-07-06","arxiv_id":"1907.03075","repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-multilayer-regularization","title":"Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration","date":"2019-07-03","arxiv_id":"1907.01922","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-deformable-image-registration","title":"Unsupervised Deformable Image Registration Using Cycle-Consistent CNN","date":"2019-07-02","arxiv_id":"1907.01319","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-image-registration-quality","title":"Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation","date":"2019-07-01","arxiv_id":"1907.00695","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-segmentation-in-lieu-of-image","title":"Conditional Segmentation in Lieu of Image Registration","date":"2019-06-30","arxiv_id":"1907.00438","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-optimization-for-joint","title":"Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy","date":"2019-06-28","arxiv_id":"1906.12223","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-deformation-network-for-high-resolution","title":"Dense Deformation Network for High Resolution Tissue Cleared Image Registration","date":"2019-06-13","arxiv_id":"1906.06180","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-mri-to-ultrasound-registration","title":"Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge","date":"2019-04-23","arxiv_id":"1904.10535","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-nonrigid-histological-image","title":"Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm","date":"2019-04-01","arxiv_id":"1904.00982","repositories_listed":0,"syntology":null},{"url":null,"slug":"palmprint-image-registration-using","title":"Palmprint image registration using convolutional neural networks and Hough transform","date":"2019-04-01","arxiv_id":"1904.00579","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-real-world-single-image-super","title":"Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model","date":"2019-04-01","arxiv_id":"1904.00523","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-fast-and-accurate-a-3-step-method-for","title":"Robust, fast and accurate: a 3-step method for automatic histological image registration","date":"2019-03-28","arxiv_id":"1903.12063","repositories_listed":0,"syntology":null},{"url":null,"slug":"radiological-images-and-machine-learning","title":"Radiological images and machine learning: trends, perspectives, and prospects","date":"2019-03-27","arxiv_id":"1903.11726","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-transfer-learning-and-segmentation","title":"Training Data Independent Image Registration With GANs Using Transfer Learning And Segmentation Information","date":"2019-03-25","arxiv_id":"1903.10139","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-deformable-registration-for","title":"Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations","date":"2019-03-22","arxiv_id":"1903.09331","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-in-medical-image-registration-a","title":"Deep Learning in Medical Image Registration: A Survey","date":"2019-03-05","arxiv_id":"1903.02026","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-segmentation-algorithms","title":"Unsupervised Segmentation Algorithms' Implementation in ITK for Tissue Classification via Human Head MRI Scans","date":"2019-02-26","arxiv_id":"1902.11131","repositories_listed":0,"syntology":null},{"url":null,"slug":"breast-cancer-model-reconstruction-and-image","title":"Breast Cancer: Model Reconstruction and Image Registration from Segmented Deformed Image using Visual and Force based Analysis","date":"2019-02-14","arxiv_id":"1902.05340","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-morphological-simplification-network-ms","title":"Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images","date":"2019-02-06","arxiv_id":"1902.02342","repositories_listed":0,"syntology":null},{"url":null,"slug":"whole-slide-image-registration-for-the-study","title":"Whole slide image registration for the study of tumor heterogeneity","date":"2019-01-24","arxiv_id":"1901.08317","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffeomorphic-registration-with-intensity","title":"Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer’s disease","date":"2019-01-04","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-information-theoretic-registration","title":"Deep Information Theoretic Registration","date":"2018-12-31","arxiv_id":"1901.00040","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-learning-based-registration-of-sparse","title":"Fast Learning-based Registration of Sparse 3D Clinical Images","date":"2018-12-17","arxiv_id":"1812.06932","repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-deformable-3d-image-registration-in-two","title":"Fully-deformable 3D image registration in two seconds","date":"2018-12-17","arxiv_id":"1812.06765","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-variational-model-for-joint-image","title":"A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging","date":"2018-12-09","arxiv_id":"1812.03446","repositories_listed":0,"syntology":null}],"record_sha256":"537f5390c8e7bfea0d23b32031e881448c014d0b57b233c4943fd85c7d1abe26","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}