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Paper Citation Record · LEDGER

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR

As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2507.02289.

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

pith.paper-citation-record.v1
2507.02289 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:39:47.888297Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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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

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation 1b73fe0c-256a-47a8-afc1-c5a8f7c9d32c · outbound

This paper cites Resource and infrastructure-appropriate management of st-segment elevation myocardial infarction in low-and middle-income countries,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Resource and infrastructure-appropriate management of st-segment elevation myocardial infarction in low-and middle-income countries,

Reference 1

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Observation ba4306ee-969e-4c4f-82c6-62552f764599 · outbound

This paper cites Dynamic changes of edema and late gadolinium enhancement after acute myocardial infarction and their relationship to functional recovery and salvage index,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Dynamic changes of edema and late gadolinium enhancement after acute myocardial infarction and their relationship to functional recovery and salvage index,

Reference 2

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Observation 62ad4ac3-efb5-4e21-87bd-e8673ca72847 · outbound

This paper cites Cardiac mri to visualize myocardial damage after st-segment elevation myocardial infarction: a review of its histologic validation,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Cardiac mri to visualize myocardial damage after st-segment elevation myocardial infarction: a review of its histologic validation,

Reference 3

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Observation 9ef54226-0159-4212-99d4-a6de93b892d0 · outbound

This paper cites Multi-modality cardiac image computing: A survey,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Multi-modality cardiac image computing: A survey,

Reference 4

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Observation ffc54040-8ab0-4b4f-8e15-21a32bdf0ec6 · outbound

This paper cites Myops: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Myops: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images,

Reference 5

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Observation 95ed51d2-b4dd-4e63-9c1b-c7ed0e56ca87 · outbound

This paper cites Cardiac magnetic resonance with t2-weighted imaging improves detection of patients with acute coronary syndrome in the emergency department,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Cardiac magnetic resonance with t2-weighted imaging improves detection of patients with acute coronary syndrome in the emergency department,

Reference 6

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Observation 7e3303d2-133e-4ec9-beeb-541695c9597b · outbound

This paper cites Segmental strain analysis for the detection of chronic ischemic scars in non-contrast cardiac mri cine images,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Segmental strain analysis for the detection of chronic ischemic scars in non-contrast cardiac mri cine images,

Reference 7

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Observation ab328b45-4bdc-4026-a972-9896c20d0fc7 · outbound

This paper cites Gadolinium deposition in the brain: summary of evidence and recom- mendations,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Gadolinium deposition in the brain: summary of evidence and recom- mendations,

Reference 8

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Observation ec286d35-e90a-4c38-ae39-383d63213a55 · outbound

This paper cites Cross-reactivity in hypersensitivity reactions to contrast agents: new classification and guide for clinical practice,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Cross-reactivity in hypersensitivity reactions to contrast agents: new classification and guide for clinical practice,

Reference 9

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Source-reported events for the cited work

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Observation bca6d08e-09a1-4b77-93bd-a9931965ce72 · outbound

This paper cites Quantification of both the area-at-risk and acute myocardial infarct size in st-segment elevation myocardial infarction using t1-mapping,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Quantification of both the area-at-risk and acute myocardial infarct size in st-segment elevation myocardial infarction using t1-mapping,

Reference 10

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Source-reported events for the cited work

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Observation 210f97a3-9eeb-4d89-8c9c-cbaeec325585 · outbound

This paper cites Diagnostic capability and reproducibility of strain by doppler and by speckle tracking in patients with acute myocardial infarction,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Diagnostic capability and reproducibility of strain by doppler and by speckle tracking in patients with acute myocardial infarction,

Reference 11

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Source-reported events for the cited work

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Observation 86088db6-aa88-4b0f-9740-cea0ba4f5804 · outbound

This paper cites Infarct localization from myocardial deformation: prediction and un- certainty quantification by regression from a low-dimensional space,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Infarct localization from myocardial deformation: prediction and un- certainty quantification by regression from a low-dimensional space,

Reference 12

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Observation 44af60fc-ad81-47c4-83fe-bd0714c7ded6 · outbound

This paper cites Towards left ventricular scar localisation using local motion descriptors,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Towards left ventricular scar localisation using local motion descriptors,

Reference 13

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Source-reported events for the cited work

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Observation 14120ad1-0659-4523-a7ae-faf92bdb5f7c · outbound

This paper cites Myocardial infarct localization using neighbourhood approximation forests,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Myocardial infarct localization using neighbourhood approximation forests,

Reference 14

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Source-reported events for the cited work

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Observation 60aebbb3-350f-4f64-b8db-44854ec1c546 · outbound

This paper cites Strain-based parameters for infarct localization: evaluation via a learn- ing algorithm on a synthetic database of pathological hearts,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Strain-based parameters for infarct localization: evaluation via a learn- ing algorithm on a synthetic database of pathological hearts,

Reference 15

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Source-reported events for the cited work

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Observation f2020e0b-5e14-4d5d-96cc-caed59595707 · outbound

This paper cites Magnetic resonance imaging of myocardial strain after acute st- segment–elevation myocardial infarction: a systematic review,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Magnetic resonance imaging of myocardial strain after acute st- segment–elevation myocardial infarction: a systematic review,

Reference 16

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Source-reported events for the cited work

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Observation fffd94b6-673b-4d7c-a54d-c2c2b41137a2 · outbound

This paper cites Prediction of infarct localization from myocardial deformation,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Prediction of infarct localization from myocardial deformation,

Reference 17

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Source-reported events for the cited work

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Observation d9170001-2778-43f3-bcad-a213316d57df · outbound

This paper cites Constrained manifold learning for the characterization of pathological deviations from normality,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Constrained manifold learning for the characterization of pathological deviations from normality,

Reference 18

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Observation 45945c38-6ddc-4140-99da-1ca15e8e6666 · outbound

This paper cites Seg- mentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Seg- mentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning,

Reference 19

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Observation 16adfd02-60ab-4d1d-8f31-b68b5ff2ef3b · outbound

This paper cites Deep learning for diagnosis of chronic myocardial infarction on nonenhanced cardiac cine mri,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Deep learning for diagnosis of chronic myocardial infarction on nonenhanced cardiac cine mri,

Reference 20

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Observation e7521b10-84ed-4f8d-9f05-c1442a541320 · outbound

This paper cites Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal gans,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal gans,

Reference 21

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Observation c73cd108-20bf-4b8e-8762-4f0032b0aabd · outbound

This paper cites Full flow: Optical flow estimation by global optimization over regular grids,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Full flow: Optical flow estimation by global optimization over regular grids,

Reference 22

Resolution
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Observation 16568545-7efe-45ce-8136-2104c527a235 · outbound

This paper cites Convolutional lstm network: A machine learning approach for precipitation nowcasting,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Convolutional lstm network: A machine learning approach for precipitation nowcasting,

Reference 23

Resolution
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Observation 22ff0ff1-ba9e-43b0-82a3-55c955376c49 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Learning spatiotemporal features with 3d convolutional networks,

Reference 24

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Observation 03b974a2-7a0d-488d-87e9-c6dd0cd8f1d9 · outbound

This paper cites Generative adversarial networks,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Generative adversarial networks,

Reference 25

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Observation 3eaa3b07-2926-4c4b-af06-236a0e926632 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR U-net: Convolutional networks for biomedical image segmentation,

Reference 26

Resolution
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Observation 335700bb-6909-4c15-923b-fe8e1b7e77e8 · outbound

This paper cites Salvage assessment with cardiac mri following acute myocardial infarction underestimates potential for recovery of systolic strain,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Salvage assessment with cardiac mri following acute myocardial infarction underestimates potential for recovery of systolic strain,

Reference 27

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Observation 09449d78-16d0-4eec-9ce6-f65a0c174684 · outbound

This paper cites T2-component of conventional cine ssfp sequences is sufficient to detect myocardial edema in patients with acute reperfused myocardial infarction,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR T2-component of conventional cine ssfp sequences is sufficient to detect myocardial edema in patients with acute reperfused myocardial infarction,

Reference 28

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CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Unresolved cited work

Reference 29

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Observation 13aa1cb0-0451-47aa-8134-c67de3d4acbe · outbound

This paper cites Relationship of systolic dys- function to area at risk and infarction size after ischemia-reperfusion in mice,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Relationship of systolic dys- function to area at risk and infarction size after ischemia-reperfusion in mice,

Reference 30

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Observation f75d6f58-6181-4f84-883d-f404b56d8529 · outbound

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

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR V oxelmorph: a learning framework for deformable medical image registration,

Reference 31

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Observation e7b2c8b5-87a9-46e1-b2ec-60f18c6647f6 · outbound

This paper cites Association between my- ocardial mechanics and ischemic lv remodeling,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Association between my- ocardial mechanics and ischemic lv remodeling,

Reference 32

Resolution
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Observation 19259829-8957-491b-a54a-080d21b8bc19 · outbound

This paper cites Joint learning of motion estimation and segmentation for cardiac mr image sequences,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Joint learning of motion estimation and segmentation for cardiac mr image sequences,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:52.704047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.051848Z digest=sha256:b49a9c17373fb2b267c7e7136481d2f3c889e8777aa1fac8645a5359326a658e

Observation 37c980cd-c358-49f9-a59b-6d9ab9a750b8 · outbound

This paper cites A semi-supervised joint learning approach to left ventricular segmentation and motion tracking in echocardiography,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR A semi-supervised joint learning approach to left ventricular segmentation and motion tracking in echocardiography,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:52.441466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.098570Z digest=sha256:301493e1ca7672b6b805c8df9777ea280120198b0ef7ef9070ce609852525842

Observation ebe030a3-82b1-494b-a567-479a775e1c47 · outbound

This paper cites Tahir, M.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Tahir, M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:52.173436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.162873Z digest=sha256:a27bb3741d0a3918512bce67d1d675c95c6f50b88caf71f97e87ad31fdfdc5a2

Observation 8e0639ce-a279-49e3-976d-dcaaa68a7192 · outbound

This paper cites Free-running cardiac magnetic resonance fingerprinting: Joint t1/t2 map and cine imaging,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Free-running cardiac magnetic resonance fingerprinting: Joint t1/t2 map and cine imaging,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:51.783383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.264456Z digest=sha256:2f3da0afbb915214c2a0966cdb48031939131ed08312a2a3cd8188b0f1c9aae9

Observation afc59169-1707-42a8-b13a-410245ab4275 · outbound

This paper cites Multivariate mixture model for myocardial segmentation combining multi-source images,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Multivariate mixture model for myocardial segmentation combining multi-source images,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:51.401765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.379336Z digest=sha256:01a5885e0685e997c77639a6f6eb84f30a6168386bb108e5578a4ea0ce387820

Observation 643e6d01-9729-464e-b73d-324b216791c0 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:46.482216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:46.482216Z digest=sha256:bccaeb70bf25634f54268c0ef54c5a2fb08c27b9ab9bbf45bfcc58c36dfc5f77

Observation 738458b2-31af-4051-9287-de1725ca5489 · outbound

This paper cites Deep learning-based detection and correction of cardiac mr motion artefacts during reconstruction for high-quality segmentation,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Deep learning-based detection and correction of cardiac mr motion artefacts during reconstruction for high-quality segmentation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:51.140832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.568010Z digest=sha256:0b7adccda174247dc318b620c6aa2a6b29194cc0e7f86869a7d7b94126d68902

Observation 54ef0034-9623-4f9a-b3a8-459018a29ccb · outbound

This paper cites Two-frame motion estimation based on polynomial expansion,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Two-frame motion estimation based on polynomial expansion,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:50.938201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.639822Z digest=sha256:1c68eb0c537c4538474894dccda458b42531b2c6b7538bee2e929d755d06f861

Observation 259ac947-e2c4-47aa-8474-81089166e80c · outbound

This paper cites Learning spatio-temporal representation with pseudo-3d residual networks,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Learning spatio-temporal representation with pseudo-3d residual networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:50.699517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.712506Z digest=sha256:feee09f25aa24a7ae79b3e0581dd1fa03bcbfdb2c8d00efee5e5fffb06d6e26d

Observation aba8f662-7eb6-4dfa-b0f1-0b75045bce03 · outbound

This paper cites Myocardial edema and scar seg- mentation using a coarse-to-fine framework with weighted ensemble,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Myocardial edema and scar seg- mentation using a coarse-to-fine framework with weighted ensemble,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:50.468969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.807706Z digest=sha256:3300e82be5d253459569a2501c2272bc64134270cf16a626465688ebc42d3b0f

Observation 1c670d2b-dbc8-4caf-8797-9763f97bef49 · outbound

This paper cites Aligning multi-sequence cmr towards fully automated myocardial pathology segmentation,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Aligning multi-sequence cmr towards fully automated myocardial pathology segmentation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:50.312182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:46.916225Z digest=sha256:42c39a652e0f7e1b0d42bfbecdd35113e61d34b5091d61d063988369b736ef44

Observation 7903a883-ce0c-46ab-a4de-2cabb55e0edc · outbound

This paper cites Myops-net: Myocardial pathology segmentation with flexible combina- tion of multi-sequence cmr images,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Myops-net: Myocardial pathology segmentation with flexible combina- tion of multi-sequence cmr images,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:50.145309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.045314Z digest=sha256:46eeeed8933a702781b074dce9f1f90a074c53e33ea7a6463cd76e53c204ad9f

Observation 5869f416-b05d-445a-abf0-5d89512e6da5 · outbound

This paper cites Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architec- ture,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architec- ture,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:49.915252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.161121Z digest=sha256:e6b23da899d058d107ad6984a6e8c726fc947546fdf37a51b6ec96f40926068b

Observation 66527506-7b3f-40fa-875c-01536aa056e0 · outbound

This paper cites Advantages and applications of the centerline method for characterizing regional ventricular function.,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Advantages and applications of the centerline method for characterizing regional ventricular function.,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:49.607318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.248408Z digest=sha256:2b20a6b1d158c66edbd1b8a5217d40362a3601319648d3a674299a1e71d8c9f0

Observation 4f304a43-f7c6-433e-9d53-8a4522bdd902 · outbound

This paper cites Artificial intelligence for contrast-free mri: Scar assessment in myocardial infarction using deep learning–based virtual native enhancement,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Artificial intelligence for contrast-free mri: Scar assessment in myocardial infarction using deep learning–based virtual native enhancement,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:49.390177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.343983Z digest=sha256:90907270908e0f30962242bfb26d50e2eb91bca3baad83e4ccc2ce921650faaa

Observation 6b93d041-8da8-47ef-ad40-cf0d57a9886a · outbound

This paper cites Automated left ventricle ischemic scar detection in ct using deep neural networks,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Automated left ventricle ischemic scar detection in ct using deep neural networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:49.091513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.437803Z digest=sha256:6e6740608a726183fd75f12e55482d17c2cd772e08dd0b7fde14a65359694ba4

Observation 5df7408a-9ba9-4f33-b65d-d7305c35fa2d · outbound

This paper cites Non-contrast cine cardiac magnetic resonance image radiomics features and machine learning algorithms for myocardial infarction detection,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Non-contrast cine cardiac magnetic resonance image radiomics features and machine learning algorithms for myocardial infarction detection,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:48.820359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.519814Z digest=sha256:938e2d129a2f1cd7947a21daba97088a54bedadbaffa809706117afe5c34db9e

Observation e04334d6-18d2-4175-905f-6fe49a023284 · outbound

This paper cites Coarse-grained mask regularization for microvascu- lar obstruction identification from non-contrast cardiac magnetic reso- nance,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Coarse-grained mask regularization for microvascu- lar obstruction identification from non-contrast cardiac magnetic reso- nance,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:48.702242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.571566Z digest=sha256:3e12b48406da7853888973f14bd97c846a479b2cdbafba5501b98f5dc08b87dd

Observation 1be5d612-ac3c-4b61-8455-c3fb14a07265 · outbound

This paper cites Accurate 3d contrast-free myocardial infarction delineation using a 4d dual-stream spatiotemporal feature learning framework,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Accurate 3d contrast-free myocardial infarction delineation using a 4d dual-stream spatiotemporal feature learning framework,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:48.564188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.642138Z digest=sha256:b0e37e337fe9bdd1ab64ad73b1ed89fbc746725e007af10c3458d34b485e06ff

Observation 047a9d1e-813b-4a68-ab12-ba0f7d2330ac · outbound

This paper cites Predicting late gadolinium enhancement of acute myocardial infarction in contrast- free cardiac cine mri using deep generative learning,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Predicting late gadolinium enhancement of acute myocardial infarction in contrast- free cardiac cine mri using deep generative learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:48.419843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.734610Z digest=sha256:d3d536a6f07e4081971bd0248460bcb6dc4f8cbff5e7ceb177f229dfa9611a6e

Observation 599f7cbc-9396-46c4-ac23-a34d5946c234 · outbound

This paper cites Gadolinium-free cardiac mri myocardial scar detection by 4d convolution factorization,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Gadolinium-free cardiac mri myocardial scar detection by 4d convolution factorization,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:48.279100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.784949Z digest=sha256:49781c4b445aa25293976bcd85a9ba5bb27f881a149a7df9e678a83349a2deec

Observation dcdd9fdc-266c-47af-a522-fe7edbdba777 · outbound

This paper cites Mind the gap: Alleviating local imbalance for unsupervised cross-modality medical image segmentation,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR Mind the gap: Alleviating local imbalance for unsupervised cross-modality medical image segmentation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:48.121166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.830299Z digest=sha256:37d40dde37d9acf20864eff7a2ee27a58e9191ace617c501ea64282b49a385a3

Observation da2bb601-30f4-4906-93f6-67ed5376f237 · outbound

This paper cites The ‘digital twin’to enable the vision of precision cardiology,.

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR The ‘digital twin’to enable the vision of precision cardiology,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:48.014509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:39:47.888297Z digest=sha256:e7f34b8eae640e3a4692fe3874ebcefc5ea51868167747f9137079d5b0c66a7a

Pith citing papers

No inbound Pith citation observations are available.