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Paper Citation Record · LEDGER

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI

As of 18 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2411.18249.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.18249 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:26:54.464008Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

74 of 74 outbound references displayed

  • verified exact3
  • verified fuzzy39
  • unresolved25
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b5e771b-ce86-4fd7-a9be-4adc4792f2e4 · outbound

This paper cites IEEE transactions on medical imaging 37(6), 1322–1332 (2018).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI IEEE transactions on medical imaging 37(6), 1322–1332 (2018)

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.144796Z digest=sha256:6bbc2dce2e1304f4795faed395857b590e122bee646eb8856f56c4b65652341f

Observation 4b6cc3cc-7197-4bb2-8713-9180d82f964b · outbound

This paper cites IEEE transactions on medical imaging 38(2), 394–405 (2018).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI IEEE transactions on medical imaging 38(2), 394–405 (2018)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:56.032079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.150643Z digest=sha256:528f0a7398290c13340ab899b339e04a4b0b1e7ab53a46a5893f70f73dcac383

Observation 905e4407-e395-46e1-ba7c-47d4b144e124 · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.155595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.155595Z digest=sha256:103bf59d598e75ead42a5bfc0a3523bcae8246f980e5e1f8b003b639e9a0e5b2

Observation 1b69c78e-a2ee-4e70-9232-c1aa980a63d7 · outbound

This paper cites In: Medical Imaging with Deep Learning (2022).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: Medical Imaging with Deep Learning (2022)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:56.019254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.161521Z digest=sha256:f1f41f426f45511ed749a22d497810a2c3b96c9a0a70ddb03b7e04f91b84b6cd

Observation ce30cd92-efa7-46a2-a908-1329f1530632 · outbound

This paper cites IEEE transactions on medical imaging 38(8), 1788–1800 (2019).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI IEEE transactions on medical imaging 38(8), 1788–1800 (2019)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:56.006185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.166817Z digest=sha256:450216fdd55e211235fe31e545afc185d6c58827d32045ca11c5036b54087a16

Observation 969f4c94-c8ba-4bbc-bc69-e3c536d6a81d · outbound

This paper cites https://doi.org/10.3389/fnins.2022.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI https://doi.org/10.3389/fnins.2022

Reference 6

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T11:26:55.409073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.171983Z digest=sha256:6c50eff0b6b2bd58896b22b7cb1a59a34e84efe8e429c9a9e8a325afa3aebc2e

Observation 6e9aa50a-2042-4c40-904f-bd838f583cfe · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.176810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.176810Z digest=sha256:aa5a50c4569915a88eaa8b42cb3320ea2cecb90979195206504c1e59c5868203

Observation d97b7f5b-7d25-4d31-b8f4-a770b6892de3 · outbound

This paper cites Physics and Imaging in Radiation Oncology 24, 167–172 (2022).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Physics and Imaging in Radiation Oncology 24, 167–172 (2022)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.993109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.181680Z digest=sha256:b8493c5c030d1e9ab9c83a31b1c4725b9fe0d9e833b1c4f0d293b00dacac9f43

Observation 8912c5a3-acc4-4a8f-854b-18d142d727bd · outbound

This paper cites Medical image analysis 82, 102615 (2022).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical image analysis 82, 102615 (2022)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.979469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.185705Z digest=sha256:4949d1f4cab2551ffb23c8d49c46e61fd75d7262572e8bbf3a5e4a70521bceee

Observation 52116305-b265-409b-9b67-1cc9397edb23 · outbound

This paper cites Progress in Biomedical Engineering 3(1), 012003 (2021).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Progress in Biomedical Engineering 3(1), 012003 (2021)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.965960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.190295Z digest=sha256:324fc040146f36db0cd87364d13fce9efd64a3bd692ffe10ba1a26227f70957a

Observation 7fec73ec-e302-45a9-9775-cd6e455d8bb3 · outbound

This paper cites Proceedings of the IEEE 110(2), 224–245 (2022).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Proceedings of the IEEE 110(2), 224–245 (2022)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.952770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.194493Z digest=sha256:7bd9408a2319ea12c9c2d52f4996af8e9fc6000f5eff5ba57d11b035c4dcefa9

Observation 8a6fe68e-cf6c-4ae3-b627-ecaaa313ed31 · outbound

This paper cites Medical Image Analysis 12(4), 427–441 (2008) 20 G.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical Image Analysis 12(4), 427–441 (2008) 20 G

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.939967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.198431Z digest=sha256:a30946ff9838a523510743bec7d96fd6a40262ae6dc06502780b0d24f574545e

Observation 55bc1a56-fca0-486c-8f20-a18fda638e7d · outbound

This paper cites Medical Image Analysis 68, 101941 (2021).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical Image Analysis 68, 101941 (2021)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.926998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.202609Z digest=sha256:b5ee9a0fdd9e7d90a01eae27e5358bc209ee07979fed8871bef0d22eac6f59d1

Observation 1d6cc400-adda-4d6f-8ca1-326297ab8795 · outbound

This paper cites Magnetic resonance in medicine 80(5), 2188–2201 (2018).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Magnetic resonance in medicine 80(5), 2188–2201 (2018)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.914344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.206919Z digest=sha256:d6ccccbc03b2995d6600f22002e11180d53526c1edee3def8018d67a77a123df

Observation 557c81cc-a352-40d2-a837-18b838b338a5 · outbound

This paper cites Mag- netic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 59(2), 365–373 (2008).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Mag- netic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 59(2), 365–373 (2008)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.900604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.211111Z digest=sha256:04270428bbfbc7e7384afa48b53df300c16e11abdabe92accb4dc98528dab66d

Observation c7037c18-2044-4409-9325-5eacb0c446ab · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:26:55.884797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.215305Z digest=sha256:1d7e2c39861617f8ecbe9ab6005d06b12024c6a7e55d6700b3cca3a5f6b4942a

Observation 4baa399a-c789-497a-9082-cdbce83a44ce · outbound

This paper cites Magnetic Resonance in Medicine 79(6), 3055–3071 (nov 2017).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Magnetic Resonance in Medicine 79(6), 3055–3071 (nov 2017)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.219312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.219312Z digest=sha256:204129e4ade33f61c62540fe7840d62c9bad306050909d09ab362eab184e0a22

Observation b55896b9-d558-45b1-a305-396e10965edd · outbound

This paper cites Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:26:55.304082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.223541Z digest=sha256:3e6c2675b558d0ebf7c6fe76f90f1f96e1e3d42a6f60368b3e5d299daff30df3

Observation 4f61d37b-28f5-48b0-baa9-459285876e47 · outbound

This paper cites Clinical Oncology 30(11), 711–719 (2018).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Clinical Oncology 30(11), 711–719 (2018)

Reference 19

Resolution
verified exact
doi, observed 2026-08-12T11:26:54.559474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1ffaee24-e769-4c68-8d07-637380952568 · outbound

This paper cites Fron- tiers in cardiovascular medicine 9, 826283 (2022).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Fron- tiers in cardiovascular medicine 9, 826283 (2022)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.870618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.232114Z digest=sha256:91b21265e4bb29f4e4b09790c876b9d6f651f3bdcda272a17a9303a389dd85a5

Observation 5e45a3d6-90db-4ae9-b873-3256de35f80b · outbound

This paper cites Advances in neural information processing systems 28 (2015).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Advances in neural information processing systems 28 (2015)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.856609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.235938Z digest=sha256:d88a3284fbe921e4d6af1535bcf675ab944fc9e7bb4fcefd4ce828933a3de4d2

Observation 43e95d17-199d-4e5b-b7da-9d03120305ef · outbound

This paper cites Cardiology Research and Practice 2018, 1–15 (aug 2018).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Cardiology Research and Practice 2018, 1–15 (aug 2018)

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.240078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.240078Z digest=sha256:d2d45d7150b6bc66678d4e0fe1729ebe14c70a29b42f36b9ed63148aa0c2a6f8

Observation 6e741f92-2bfe-4bc4-b525-b6afa98179e5 · outbound

This paper cites Magnetic resonance in medicine 84(6), 3054–3070 (2020).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Magnetic resonance in medicine 84(6), 3054–3070 (2020)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.843444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.243704Z digest=sha256:b4c2673c62ec94ed8153e4dbdd2368526ba9ad7ece391ebf4e63df135638cc6c

Observation 9b241b52-75ae-4305-ac49-9728d6e60c6d · outbound

This paper cites Modern signal processing 46, 161–184 (2003).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Modern signal processing 46, 161–184 (2003)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.830834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.247470Z digest=sha256:99ee711dd08a991667a71b20fdf2d1ef8478c10ffc341958e627cd07b105f817

Observation 52760092-dfc2-472a-8130-a94eb8e450e8 · outbound

This paper cites In: IEEE International Conference on Image Processing 2005.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: IEEE International Conference on Image Processing 2005

Reference 25

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T11:26:55.283958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.251859Z digest=sha256:4007644c4485c021c282b0b7dcd170e8a333a0fa765108c2f573390b783dadd9

Observation 8d8e9c3c-68a8-43b2-847b-6cd511b6c0ef · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.256657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.256657Z digest=sha256:3b18fa893e6d15479e5393d0b891d6362ef5e399076eb5425f70ff7fe3eb6362

Observation ca43c956-bb55-4728-ace4-e41d996a7424 · outbound

This paper cites Computerized Med- ical Imaging and Graphics 113, 102348 (2024).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Computerized Med- ical Imaging and Graphics 113, 102348 (2024)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.808560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.260919Z digest=sha256:5a33139a4fdb0bf84a8c2e29747492066f06a1ffc50cbe6555c6fb880cf13f5d

Observation 6785bdf1-c691-406a-abe9-a3f3d9a2c80e · outbound

This paper cites Frontiers in Neuroinformatics 7 (2013).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Frontiers in Neuroinformatics 7 (2013)

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.264913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.264913Z digest=sha256:df5d9a608a2794cd472cdf7a5bac6a855eb580105628be83a7440a5d45f1ae31

Observation 12ed4141-0307-4127-8532-c11422eff048 · outbound

This paper cites IEEE Signal Processing Magazine 25(2), 72–82 (2008).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI IEEE Signal Processing Magazine 25(2), 72–82 (2008)

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.269189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.269189Z digest=sha256:87e331e86300bcc217f42d03eab6905cee7f56ad662b96cec6a0ea13e3661b5d

Observation a217b95a-04ed-4b16-9ab9-378fa63966d5 · outbound

This paper cites Medical Image Analysis p.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical Image Analysis p

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.795246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.273837Z digest=sha256:a26608c63f9f39dbd67a0e64aefe7565d7b22e5f52ce08e6d0a5d25b3d7b70af

Observation 4a72ae83-4ed2-4521-81d8-a7cd4f5686cc · outbound

This paper cites JACC: Cardiovascular Imaging 8(2), 148–157 (2015).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI JACC: Cardiovascular Imaging 8(2), 148–157 (2015)

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.277953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.277953Z digest=sha256:26f1eb2eb5878b2b006d89dee8cf825cc18d9fc02647c27394872e5de431104f

Observation f98a8b39-079a-491f-96e7-fda4fae39a0c · outbound

This paper cites Bio- engineering 10(3) (2023).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Bio- engineering 10(3) (2023)

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.281994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.281994Z digest=sha256:a642d4a35691f11366cc809c0f90b14b5c42cd1e6028ad0dfd58ed6f8d0fb614

Observation d1b61ca1-b6a1-43c5-91e9-85c1c51b5d52 · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:26:55.781886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.285968Z digest=sha256:e8f67e1794639986430ab35e3aef9d559d5f8dff2432ec6ef213ad176182dd7d

Observation 0ebaa4a7-07c4-4ba5-b6c3-0d9571ada831 · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:26:55.769728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.290407Z digest=sha256:c06e0d60a7f829ae158003ab9ce30db27b8e228666c5c7a7930721b2fb804292

Observation a282d8eb-4c2f-4ff6-a769-6f8a0a5721e6 · outbound

This paper cites In: Lecture Notes in Computer Science.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: Lecture Notes in Computer Science

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.294342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.294342Z digest=sha256:ccb297d57daafdc111956958d2c2b8ba643d42f85dcb0d53e9038cd4d3a5900a

Observation 1b2c900b-a233-4f09-a625-8ebf8e8d6f14 · outbound

This paper cites Physics in Medicine & Biology 59(3), 733 (2014).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Physics in Medicine & Biology 59(3), 733 (2014)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.756776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.298563Z digest=sha256:5c483721c5bafa083628032b62a59d4d529a522e37de42daf49111ecbd5ce4b2

Observation 8392519b-9ca7-4385-a743-aabe9053c881 · outbound

This paper cites Proceedings of the IRE 37(1), 10–21 (1949).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Proceedings of the IRE 37(1), 10–21 (1949)

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.302561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.302561Z digest=sha256:6b7fdd568c57b090b598bca1ddef3e8364776f029023240179d72cf48d672f11

Observation 1e613599-6ee6-41ce-8550-69848aa5b41d · outbound

This paper cites In: Medical Imaging with Deep Learning (2023).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: Medical Imaging with Deep Learning (2023)

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.744494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.306719Z digest=sha256:fd720236fc3ff8bde47ef9c9fc7084b9315c16301c046f1a5d69de3040460529

Observation 2ee879b4-ce42-4ec8-b69c-4040f8752974 · outbound

This paper cites In: Lecture Notes in Computer Science.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: Lecture Notes in Computer Science

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.310816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.310816Z digest=sha256:232620e4322ea8b214b2f299045475664203a4e3b88343b724b5f6872bd394f0

Observation 82074dc4-23ca-4201-a801-f3d9267d84b7 · outbound

This paper cites Medical Image Analysis 97, 103249 (2024).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical Image Analysis 97, 103249 (2024)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.731799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.314889Z digest=sha256:829a3cef7906361391520eaa55eee967329e774ba450bf9440fac09813d9b4ec

Observation 75c791a0-331f-4934-8d4a-fc2c191c35fb · outbound

This paper cites Medical physics 48(11), 6597–6613 (2021).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical physics 48(11), 6597–6613 (2021)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.718769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.319125Z digest=sha256:c794a395cac3c47e99b88286ef5acdaf0d535d8d3e77ef4af3043a2d4bcba08f

Observation 010e7685-ac46-4742-ac14-574489b4d154 · outbound

This paper cites Medical Image Analysis 80, 102509 (2022).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical Image Analysis 80, 102509 (2022)

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.324200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.324200Z digest=sha256:4e370d1296a4dc0a028b55e43f4350ee8523b20e21bdb22176037d7725db6803

Observation d0e4bc85-3dc1-4285-92fd-76a8933dfd4a · outbound

This paper cites Medical image analysis 2(3), 243–260 (1998) 22 G.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Medical image analysis 2(3), 243–260 (1998) 22 G

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.706432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.328965Z digest=sha256:a5acc4657b67db96b4ce9e1e178471c2680dba0a7e42bbe6f0d533b9b0c0a2e6

Observation bdb68d29-546d-4cd6-bc43-01b273ed87b0 · outbound

This paper cites Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 50(5), 1031–1042 (2003).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 50(5), 1031–1042 (2003)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.694185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.333277Z digest=sha256:35608655a871ca5b79251ef0725af93f35220da09dbc8c3b7466bbf4e7fdfae2

Observation 81da1363-c19e-449c-a361-1131805b2dc9 · outbound

This paper cites In: XVth international conference on the use of computers in radiation therapy (ICCR).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: XVth international conference on the use of computers in radiation therapy (ICCR)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.681539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.337976Z digest=sha256:60c3073631d16f554b5336282ee3223fbf672345e69dae208693358952f24ab5

Observation 31e18dba-bf10-4b2c-bd10-775034b40cc5 · outbound

This paper cites On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T11:26:54.920796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.342044Z digest=sha256:10d8f3af4fc4313afb8a179ca069aedfbbce6b81cd6a9ecc3479e4d3ba4f297e

Observation dfd94453-e5cb-45f2-9804-5b85e02e9cb5 · outbound

This paper cites PeerJ 2, e453 (2014).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI PeerJ 2, e453 (2014)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.669612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.346667Z digest=sha256:b83f04fa549358dca3065951ae619e158019e379810ccedfe59f013e00e9cb16

Observation a3256f21-b757-4258-adf2-d20b7bf4d716 · outbound

This paper cites Phenomics 1(4), 151–170 (jul 2021).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Phenomics 1(4), 151–170 (jul 2021)

Reference 48

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T11:26:55.656781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.350730Z digest=sha256:a9b456d2a01bfd750bce813b832ae1fc96ff63f99a598180ceb7b5bc11190e6d

Observation e406710e-0543-4b88-aa3e-c034875f5df3 · outbound

This paper cites CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.354693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.354693Z digest=sha256:4355cb7ddce4d7bb04adbcceefaa1e3e5cf473a16117b9ede39a90d3d2b2bf77

Observation a30a4d8a-aeda-4b6a-9cd8-a0ccc7f0e669 · outbound

This paper cites org/abs/2503.03971.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI org/abs/2503.03971

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.358932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.358932Z digest=sha256:00175a59e013f937f2e1b722204ccb3c2d686ea3934d57f06d40da7dafca91ba

Observation ce3fffb2-43c0-4735-a5d9-21869661f507 · outbound

This paper cites CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:26:54.816340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.363418Z digest=sha256:2b90f9e8ee1e745373d4667678e25dafb1a1bfaff773d32d96b984b381a2d2ba

Observation cb6fe0bc-3a03-43f9-9d5f-ca0b747a9106 · outbound

This paper cites In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.367302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.367302Z digest=sha256:a2b96372c13c2d4dacedf79f9465faf8acf69af4c4e107126261bcfced2c38af

Observation 9c36b90a-ebe7-45cf-b067-80ed7468f91e · outbound

This paper cites Computers in Bi- ology and Medicine 167, 107619 (2023).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Computers in Bi- ology and Medicine 167, 107619 (2023)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.644525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.370922Z digest=sha256:4c4dd10833be5f4f4916f0d3ff6ddbe62be3af1831fea9e843e970162f6aeed4

Observation dd2118cb-b27f-4fa3-95e7-296ca736cf9f · outbound

This paper cites IEEE Transactions on Biomedical Engineering (2024).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI IEEE Transactions on Biomedical Engineering (2024)

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.632180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.374856Z digest=sha256:77ec44bae3d3a141ab022b97bd73dead54fb963341345c5ce30dd995af255a5c

Observation 90925996-5b8d-4258-ab13-1b4b26366bc8 · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:26:55.619953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.378835Z digest=sha256:a4766e76e1f1c47cf6e0bebff190c39a55e8aab20c9cb4cc1d24870ba94af9bb

Observation eecf5193-489d-4b3a-9f39-4d70e85b85ba · outbound

This paper cites Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T11:26:54.734985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.383014Z digest=sha256:2efa66cd98e39f9d2b265ad44c2441c5709dd80060d9d97b11358fa68a5e3a47

Observation 9b2ecc0b-87d7-40f0-8338-ec57aa228f98 · outbound

This paper cites Magnetic Resonance Imaging 115, 110266 (2025).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Magnetic Resonance Imaging 115, 110266 (2025)

Reference 57

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T11:26:54.715263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.387285Z digest=sha256:2177fc002887a214386cd9695341ec81e36db9552fa6f43af691f4b20d782b3b

Observation 4fb800f5-7380-4ad8-8318-1fb1152ed876 · outbound

This paper cites Magnetic Resonance Imaging 107, 33–46 (2024).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Magnetic Resonance Imaging 107, 33–46 (2024)

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.607748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.391489Z digest=sha256:434aab2144be0fa90d74178432a6d9ddeeacc3929fee32761a3e2e0878078e5c

Observation cef685bd-d439-436d-88dd-e0bb87c7c61b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.594134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.395812Z digest=sha256:44f672ef21e38bd9b1903dfc0b672892f089a6ae85978d3b330fb7f079ca4dae

Observation e4b2a998-c0db-423d-993a-75ad75133237 · outbound

This paper cites End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.400048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.400048Z digest=sha256:0111256d325b6044042f22ea66081a6cd863d45160ac2af6b33761052357a36f

Observation 8c174d70-c463-4ab1-a79a-954647fcd7dd · outbound

This paper cites End-to-End Sequential Sampling and Reconstruction for MRI.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI End-to-End Sequential Sampling and Reconstruction for MRI

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T11:26:54.405025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:26:54.405025Z digest=sha256:76fbb91db94f97aef64255675b2ec94e82f41676b517e25451e2c3ec9886a5f0

Observation e6efe7a3-1ab4-4878-8fdc-456258aa079c · outbound

This paper cites IEEE Transactions on Medical Imaging 40(12), 3337–3348 (2021).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI IEEE Transactions on Medical Imaging 40(12), 3337–3348 (2021)

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.580056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.409851Z digest=sha256:91126fa79c9a33aae5b2cb7a975cba2ca4a65b71320b9de855e205dd4e1fa4a8

Observation b5c6ecd1-1b0b-4424-b45e-6c307922dd13 · outbound

This paper cites In: Hamprecht, F.A., Schn¨ orr, C., J¨ ahne, B.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: Hamprecht, F.A., Schn¨ orr, C., J¨ ahne, B

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.568452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.413804Z digest=sha256:e92758bcf6d2c03c5ffaebf4040dedc80c1766e657a3597705d9fbfa7125b0f0

Observation 89c193f8-7431-4f87-ac48-50c72da18427 · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:26:55.555236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.417918Z digest=sha256:a3b65b66835b400e3c4891d36a59cf9303f49fdd413498121a0bdb2fab530dd8

Observation 3f23b903-6ebb-4f2f-b439-0a6588dffcde · outbound

This paper cites In: 2018 IEEE/ACM 26th international symposium on quality of service (IWQoS).

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI In: 2018 IEEE/ACM 26th international symposium on quality of service (IWQoS)

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.542977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.422871Z digest=sha256:34e94881a23d1eb1d5f77c08e3c3491d09d2a338fef7a70cd82fdf38d4ae172e

Observation a5965df0-3408-40e8-b048-978c78313e4e · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:26:55.530437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.427984Z digest=sha256:97d157e0651d7243a82542a11907a0a2c4600a0d17496528f50ad7d1be7a04e7

Observation 70550863-88d2-47dd-b7a6-665fa4f632d9 · outbound

This paper cites ACS measurements (4% of the fully sampled data) were included in this sampling pattern.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI ACS measurements (4% of the fully sampled data) were included in this sampling pattern

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.517857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.433012Z digest=sha256:0a33625b1fb056e232298555a8a7de976750d904139ce66c57b33893dfef96ce

Observation e9a10db7-8d16-4b1b-bdec-1d88db6bd5b7 · outbound

This paper cites Separate patterns were used for phase-specific experiments, while a unified pattern was applied across all phases in unified experiments.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Separate patterns were used for phase-specific experiments, while a unified pattern was applied across all phases in unified experiments

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.504685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.437365Z digest=sha256:d022d1d7ade4cef2d76cb98bb1df11bab7fbca3dc4abde3b40c0bd224e8520ed

Observation eb8da2c3-8cae-4f0d-90de-5347278c7888 · outbound

This paper cites Each time-step represents a scheme per each phase.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Each time-step represents a scheme per each phase

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.491257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.441623Z digest=sha256:d7c697134002046ac86ca8c4afd8f36c71425104c49a995522f6a002ad480b27

Observation e2349b1d-a7fe-4504-ba45-478626f40a0e · outbound

This paper cites For each moving (dynamic) image, we performed a forward pass for each temporal phase along with the reference image, consistent with the original implementation in [5].image.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI For each moving (dynamic) image, we performed a forward pass for each temporal phase along with the reference image, consistent with the original implementation in [5].image

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.477538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.445933Z digest=sha256:f58bb3786880a06589471ade24bffb291d3da71afa8f0114bc22ce37312feef7

Observation 6ac775b0-b143-453e-829f-3b574725c615 · outbound

This paper cites The setup also includes Global Position-Sensitive Attention (GPSA) intervals and locality strength to focus on spatial regions.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI The setup also includes Global Position-Sensitive Attention (GPSA) intervals and locality strength to focus on spatial regions

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.464121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.450276Z digest=sha256:924e6ef30407b069feb1f29da5a82e01ab034c9712657f13e8c79ed6b910dcb4

Observation 4bbe1ef9-ff09-47f4-a190-72fa268bbfa7 · outbound

This paper cites an unresolved cited work.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:26:55.451944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.454854Z digest=sha256:bc20db22c3046fe675b3069d86ea07b717bb12a1a12bb71d7b8d9cbe8c3aa977

Observation a346ca12-65a6-4124-8d00-c89bc1c30101 · outbound

This paper cites All other parameters are based on the default settings of the scikit-image in https://scikit-image.org/ docs/stable/api/skimage.registration.html#skimage.registration.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI All other parameters are based on the default settings of the scikit-image in https://scikit-image.org/ docs/stable/api/skimage.registration.html#skimage.registration

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:26:55.438873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.459590Z digest=sha256:3ad6ba0ecf447f3a19e866ba54fb2f7a638ebb8ef3dfdabc4947e8d339086675

Observation 91b605a3-1134-4ff0-822b-f4f778567321 · outbound

This paper cites See https://simpleitk.org/doxygen/latest/html/classitk_1_1simple_ 1_1DemonsRegistrationFilter.html.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI See https://simpleitk.org/doxygen/latest/html/classitk_1_1simple_ 1_1DemonsRegistrationFilter.html

Reference 74

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T11:26:55.424614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:26:54.464008Z digest=sha256:a7f8564576b95de7ee4795d6748e778e22a9056b493cf71421fd00141dc6b30a

Pith citing papers

No inbound Pith citation observations are available.