Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network | Paper Citation Record

Observation 3970095b-3f97-445e-988d-5bb5a004e01c · outbound

This paper cites Self-distilled hierarchical network for unsupervised deformable image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Self-distilled hierarchical network for unsupervised deformable image registration,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.395231Z

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Observation 5560b9cf-f13a-45fa-8bca-b2ef6ce3960f · outbound

This paper cites Symreg-gan: Symmetric image registration with generative adversarial networks,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Symreg-gan: Symmetric image registration with generative adversarial networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.384864Z

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Observation 19ce458d-c41b-4683-b493-b90e30a73dc6 · outbound

This paper cites Shared multi-view data representation for multi-domain event detection,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Shared multi-view data representation for multi-domain event detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.374334Z

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Observation ac92269d-825e-45a4-9a54-ef0b2187f23e · outbound

This paper cites Residual aligner-based network (ran): Motion-separable structure for coarse-to- fine discontinuous deformable registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Residual aligner-based network (ran): Motion-separable structure for coarse-to- fine discontinuous deformable registration,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.364407Z

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Observation 239c85c0-7789-442c-a238-bc2330ebbb22 · outbound

This paper cites Otmorph: Unsupervised multi-domain abdominal medical image registration using neural optimal transport,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Otmorph: Unsupervised multi-domain abdominal medical image registration using neural optimal transport,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.353189Z

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Observation 70492e46-c7eb-4aa8-b391-6f086113ec0b · outbound

This paper cites Symmetric diffeomorphic image registration with cross-correlation: evaluating au- tomated labeling of elderly and neurodegenerative brain,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Symmetric diffeomorphic image registration with cross-correlation: evaluating au- tomated labeling of elderly and neurodegenerative brain,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.341582Z

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Observation 4969a8f7-3b74-4728-96c3-01bf818db751 · outbound

This paper cites Point set registration with mixture framework and variational inference,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Point set registration with mixture framework and variational inference,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.330914Z

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Observation 37751b2f-ef56-4230-940f-961338e79905 · outbound

This paper cites V oxelmorph: a learning framework for deformable medical image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network V oxelmorph: a learning framework for deformable medical image registration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.320584Z

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Observation 48ce259d-4bfb-4de9-9665-ae1def39f45b · outbound

This paper cites Rsegnet: a joint learning framework for deformable registration and segmentation,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Rsegnet: a joint learning framework for deformable registration and segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.310556Z

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Observation c46483b8-e0fd-4f21-8654-975d8b4888ad · outbound

This paper cites Weakly-supervised learning of multi-modal features for regularised iterative descent in 3d image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Weakly-supervised learning of multi-modal features for regularised iterative descent in 3d image registration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.300632Z

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Observation 2623ba13-78ef-49a6-a146-67f14c0ae143 · outbound

This paper cites Groupmorph: medical image registration via grouping network with contextual fusion,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Groupmorph: medical image registration via grouping network with contextual fusion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.289721Z

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Observation 5b2c200f-6f4a-4c6b-876a-b5c350156943 · outbound

This paper cites Bi-level learning of task-specific decoders for joint registration and one-shot medical image segmentation,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Bi-level learning of task-specific decoders for joint registration and one-shot medical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.279400Z

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Observation f321974a-99ca-4a1f-af93-d9487216eaab · outbound

This paper cites Anatom- ically constrained and attention-guided deep feature fusion for joint segmentation and deformable medical image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Anatom- ically constrained and attention-guided deep feature fusion for joint segmentation and deformable medical image registration,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.269452Z

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Observation ca9b096b-2675-463b-a833-c6ec337dd9f8 · outbound

This paper cites Pc-reg: A pyramidal prediction– correction approach for large deformation image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Pc-reg: A pyramidal prediction– correction approach for large deformation image registration,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.258488Z

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Observation 8c50786c-c20f-44e3-a85b-db9a8ff99ed1 · outbound

This paper cites Progressively coupling network for brain mri registration in few-shot situation,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Progressively coupling network for brain mri registration in few-shot situation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.248087Z

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Observation 1eca17b8-3329-4102-9d71-010ca8e676b6 · outbound

This paper cites Weakly-supervised biomechanically-constrained ct/mri registration of the spine,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Weakly-supervised biomechanically-constrained ct/mri registration of the spine,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.237075Z

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Observation 4f6a0a72-0267-452d-810f-e68c451105ff · outbound

This paper cites Few-shot learning for deformable medical image registration with perception-correspondence decoupling and reverse teaching,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Few-shot learning for deformable medical image registration with perception-correspondence decoupling and reverse teaching,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.226199Z

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Observation 72a8ad60-5367-4141-862b-5fba08db62c7 · outbound

This paper cites Deformable medical image registration with global–local transformation network and region simi- larity constraint,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Deformable medical image registration with global–local transformation network and region simi- larity constraint,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.214090Z

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Observation f82440df-706d-47f2-998f-6247be00012a · outbound

This paper cites Recursive decomposition network for deformable image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Recursive decomposition network for deformable image registration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.202680Z

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Observation 1c8d5845-84ee-4cfa-a64e-be7b8338d464 · outbound

This paper cites Non-iterative coarse-to-fine registration based on single-pass deep cumulative learning,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Non-iterative coarse-to-fine registration based on single-pass deep cumulative learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.187313Z

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Observation 859901e0-070d-4212-8b79-7185f64d8a21 · outbound

This paper cites Spatial transformer networks,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Spatial transformer networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.166708Z

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Observation c133207b-904b-4d8c-9995-f5e3ba375e68 · outbound

This paper cites Transmorph: Transformer for unsupervised medical image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Transmorph: Transformer for unsupervised medical image registration,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.154891Z

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Observation 9ea94178-59b5-4d9a-9e25-aaa27b4bca02 · outbound

This paper cites Non-iterative coarse- to-fine transformer networks for joint affine and deformable image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Non-iterative coarse- to-fine transformer networks for joint affine and deformable image registration,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.139890Z

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Observation eb8b5b6e-665d-49fd-8d54-cacb75eb29d9 · outbound

This paper cites Modet: Learning deformable image reg- istration via motion decomposition transformer,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Modet: Learning deformable image reg- istration via motion decomposition transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.125702Z

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Observation 4dc8f82c-e434-4005-9a92-bd8189cfa970 · outbound

This paper cites Xmorpher: Full transformer for deformable medical image registration via cross attention,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Xmorpher: Full transformer for deformable medical image registration via cross attention,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.110990Z

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Observation caff73cd-ecb9-438e-aafa-f78939996435 · outbound

This paper cites Deformer: Towards displacement field learning for unsupervised med- ical image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Deformer: Towards displacement field learning for unsupervised med- ical image registration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.098153Z

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Observation 59675c5c-8698-4c50-98cd-74b94a171777 · outbound

This paper cites One registration is worth two segmentations,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network One registration is worth two segmentations,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.084625Z

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Observation c3b18c3e-fdfb-496a-983b-400814adda3d · outbound

This paper cites Segment anything,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Segment anything,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.070542Z

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Observation 2ecc67ef-4797-43ae-9a8a-935c9b59c651 · outbound

This paper cites Maximum likelihood from incomplete data via the em algorithm,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Maximum likelihood from incomplete data via the em algorithm,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:44.785430Z

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Observation 0fde0eee-0207-44ee-9dba-7359f5a16796 · outbound

This paper cites A log- euclidean framework for statistics on diffeomorphisms,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network A log- euclidean framework for statistics on diffeomorphisms,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.050023Z

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Observation a8bc7a34-6dd8-48ac-b288-538a5a4752b7 · outbound

This paper cites Fast symmetric diffeomorphic image registra- tion with convolutional neural networks,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Fast symmetric diffeomorphic image registra- tion with convolutional neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.023664Z

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Observation bd31b033-8879-465e-8d30-919d1e565418 · outbound

This paper cites Large deformation diffeomorphic image registration with laplacian pyramid networks,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Large deformation diffeomorphic image registration with laplacian pyramid networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.007111Z

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Observation dfc1fb59-3a79-4d12-a851-ad1c308a53fb · outbound

This paper cites Hy- permorph: Amortized hyperparameter learning for image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Hy- permorph: Amortized hyperparameter learning for image registration,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.992962Z

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Observation 05a6c7fc-861b-4762-8b4d-41da5678aea4 · outbound

This paper cites Correlation-aware coarse-to-fine mlps for deformable medical image registration,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Correlation-aware coarse-to-fine mlps for deformable medical image registration,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.981970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c095fff7-e824-4612-8c9b-4dcacb2dd8e0 · outbound

This paper cites A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Reference 35

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Observation 0e3387eb-560a-4d75-8b71-5ba875c2d60e · outbound

This paper cites Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.970215Z

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Observation 9483d683-25b9-4ed9-89ea-f71fd107aa32 · outbound

This paper cites Multi-scale patch and multi-modality atlases for whole heart segmentation of mri,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Multi-scale patch and multi-modality atlases for whole heart segmentation of mri,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.959286Z

Source-reported events for the cited work

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Observation 7e481443-043d-431e-a4cb-b917fa618f27 · outbound

This paper cites Advanced normalization tools (ants),.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Advanced normalization tools (ants),

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.947571Z

Source-reported events for the cited work

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Observation cd356702-316d-4c31-a255-081a74051daa · outbound

This paper cites Automatic differentiation in pytorch,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Automatic differentiation in pytorch,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:44.826861Z

Source-reported events for the cited work

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Observation 1bf9839b-91bc-4569-96d9-bc97fa2a5ad6 · outbound

This paper cites Measures of the amount of ecologic association between species,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Measures of the amount of ecologic association between species,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:44.830086Z

Source-reported events for the cited work

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Observation 3bcc706c-dfe3-4783-bb15-678b8ff195e9 · outbound

This paper cites Comparing images using the hausdorff distance,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Comparing images using the hausdorff distance,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.922487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6b1daa1-8c79-49a8-aeb6-f9d70aa78270 · outbound

This paper cites Joint progressive and coarse-to-fine registration of brain mri via deformation field integration and non-rigid feature fusion,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Joint progressive and coarse-to-fine registration of brain mri via deformation field integration and non-rigid feature fusion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.909554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f8b03a7-7e97-4435-9e94-38d00a81ca4e · outbound

This paper cites Fast 3d registration with accurate optimisation and little learning for learn2reg 2021,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Fast 3d registration with accurate optimisation and little learning for learn2reg 2021,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.898647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1a4dc39-5bed-43f5-86b5-60b134f20768 · outbound

This paper cites Conditional deformable image registra- tion with convolutional neural network,.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network Conditional deformable image registra- tion with convolutional neural network,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:44.887006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc409904-ad37-48bb-ba7a-8923990c545b · outbound

This paper cites 924–931, Springer, 2006.

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network 924–931, Springer, 2006

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:45.036514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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