Paper Citation Record · LEDGER

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2411.09204.

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

pith.paper-citation-record.v1
2411.09204 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:02:03.271955Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:02:03.180892Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T21:02:03.314344Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy17
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 860934a2-2c83-4109-850b-76d5654263a5 · outbound

This paper cites RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T21:02:03.323624Z

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 ca3c3661-d685-4189-90b7-1ca8f6e7e2f6 · outbound

This paper cites Let R represent an intact ribcage struc- ture.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Let R represent an intact ribcage struc- ture

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.623901Z

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 f62c2a7d-9902-4cb2-817c-b8dcb9844b69 · outbound

This paper cites All the experiments are performed on the RibFrac dataset compris- ing 300 training samples and 160 test cases to ensure robust validation of the model’s performance.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation All the experiments are performed on the RibFrac dataset compris- ing 300 training samples and 160 test cases to ensure robust validation of the model’s performance

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.607305Z

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 3305888b-acdb-4411-a18a-c361ef1d50c6 · outbound

This paper cites We presented a preliminary solu- tion for automated ribcage implant generation to address the limitations of manual and CAD-based methods.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation We presented a preliminary solu- tion for automated ribcage implant generation to address the limitations of manual and CAD-based methods

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.588748Z

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 7598b305-346a-4db4-919f-8d6f818a11fa · outbound

This paper cites Func- tional chest wall reconstruction with a biomechanical three-dimensionally printed implant,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Func- tional chest wall reconstruction with a biomechanical three-dimensionally printed implant,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.570778Z

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 d1fff7b5-58c3-455b-8b11-1efbe795adc2 · outbound

This paper cites Flail chest as a marker for sig- nificant injuries.,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Flail chest as a marker for sig- nificant injuries.,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.553862Z

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 666f79cb-9758-4b12-86fd-a503426bd89c · outbound

This paper cites Creating patient-specific chest implants with artec 3d scanners,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Creating patient-specific chest implants with artec 3d scanners,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.538215Z

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 a9327ea5-7224-41a9-929d-f2a4025ba6f2 · outbound

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

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Learning spatiotemporal features with 3d convolutional networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.523264Z

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 526487c4-d433-4916-bb6d-c9c3c7cd307c · outbound

This paper cites 3d u-net: learn- ing dense volumetric segmentation from sparse anno- tation,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation 3d u-net: learn- ing dense volumetric segmentation from sparse anno- tation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.505190Z

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 0f509d6e-93c6-48be-aeea-24b280a69f77 · outbound

This paper cites 3d u-net for brain tu- mour segmentation,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation 3d u-net for brain tu- mour segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.488655Z

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 2fbb91c9-13c6-4d43-b703-d9ecea55c406 · outbound

This paper cites Development and validation of the 3d u-net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Development and validation of the 3d u-net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.472065Z

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 7a6fc661-132c-4192-99cf-18227a543466 · outbound

This paper cites nnu-net based segmentation and 3d reconstruction of uterine fi- broids with mri images for hifu surgery planning,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation nnu-net based segmentation and 3d reconstruction of uterine fi- broids with mri images for hifu surgery planning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.454483Z

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 43ecc4a2-3726-4bd0-b28e-32220ca29019 · outbound

This paper cites Deep learning-based framework for auto- matic cranial defect reconstruction and implant model- ing,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Deep learning-based framework for auto- matic cranial defect reconstruction and implant model- ing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.438171Z

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 a03881ee-0628-4b87-9e6f-1b5c222e8e59 · outbound

This paper cites Reconstruction of large chest wall defects using three-dimensional custom-made implant technology,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Reconstruction of large chest wall defects using three-dimensional custom-made implant technology,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.420072Z

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 dc9fd268-d3e2-4ad2-be53-315444e5e4c7 · outbound

This paper cites Prospects of 3d-printed sternum prostheses: a review,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Prospects of 3d-printed sternum prostheses: a review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.402616Z

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 6f20126f-2e40-46c4-af21-bc0335ed51a0 · outbound

This paper cites Deep- learning-assisted detection and segmentation of rib frac- tures from ct scans: Development and validation of frac- net,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Deep- learning-assisted detection and segmentation of rib frac- tures from ct scans: Development and validation of frac- net,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.381438Z

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 d037e488-2f39-44bd-87b5-b011d9ac58d8 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation V-net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.360314Z

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 28a176db-7e95-4a52-9c00-88e6d12bce25 · outbound

This paper cites Comparing images using the hausdorff distance,.

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Comparing images using the hausdorff distance,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:03.341620Z

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.

Pith citing papers

Observation 860934a2-2c83-4109-850b-76d5654263a5 · inbound