Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:44:04.577146Z
Paper Citation Record · LEDGER
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2502.07145.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T01:08:33.453029Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:11:01.065864Z
Reference resolution
57 of 57 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 857558e0-8fe5-480e-996d-dc1754003929 · outbound
This paper cites Evaluation of normal morphology of mandibular condyle: a radiographic survey,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Evaluation of normal morphology of mandibular condyle: a radiographic survey,
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d0ed773c-eb84-4683-aa8d-42c0bbfd2867 · outbound
This paper cites Statistical modeling of craniofacial shape and texture,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Statistical modeling of craniofacial shape and texture,
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 84c760f3-e571-4ccd-a7ed-f61d0ad2d11d · outbound
This paper cites 3dcmm: 3d comprehensive morphable models with uv-unet for accurate head creation,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes 3dcmm: 3d comprehensive morphable models with uv-unet for accurate head creation,
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation a4e7dcce-12aa-4f0e-82fa-5ec1d5200c72 · outbound
This paper cites Statistical models and implant customization in hip arthroplasty: Seeking patient satisfaction through design,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Statistical models and implant customization in hip arthroplasty: Seeking patient satisfaction through design,
Reference 4
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Observation 9ebf2574-8afc-40ca-ade2-e504cdc9f668 · outbound
This paper cites Machine learning based liver disease diagnosis: A systematic review,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Machine learning based liver disease diagnosis: A systematic review,
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5c836a2d-5ccd-42cf-b34e-5b61163a10f6 · outbound
This paper cites A radiation-free classification pipeline for craniosynostosis using statistical shape modeling,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes A radiation-free classification pipeline for craniosynostosis using statistical shape modeling,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 89d88db9-62a1-48b4-a6b3-d407be674e54 · outbound
This paper cites Statistical shape model-based tibiofibular assessment of syndesmotic ankle lesions using weight- bearing ct,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Statistical shape model-based tibiofibular assessment of syndesmotic ankle lesions using weight- bearing ct,
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 985f8594-1cf5-4106-8e40-b3ad5549d299 · outbound
This paper cites Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease,
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 60c7ef23-e8b4-4118-8bea-2e7178aefa1d · outbound
This paper cites Statistical shape analysis of the tricuspid valve in hypoplastic left heart syndrome,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Statistical shape analysis of the tricuspid valve in hypoplastic left heart syndrome,
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6e1fb6c5-f688-488d-9abe-5b299178f91c · outbound
This paper cites High variability of acetabular offset in primary hip osteoarthritis influences acetabular reaming—a computed tomography–based anatomic study,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes High variability of acetabular offset in primary hip osteoarthritis influences acetabular reaming—a computed tomography–based anatomic study,
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation 28389384-b2aa-494b-990a-407430a18507 · outbound
This paper cites Dynamic digital twin: Diagnosis, treatment, prediction, and prevention of disease during the life course,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Dynamic digital twin: Diagnosis, treatment, prediction, and prevention of disease during the life course,
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation abb110aa-00bf-4f88-9ec3-37020a252a8e · outbound
This paper cites Human digital twin for personalized healthcare: Vision, architecture and future directions,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Human digital twin for personalized healthcare: Vision, architecture and future directions,
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 059b7a4b-e05d-4328-b568-832fda015df8 · outbound
This paper cites Morphometry of anatomical shape complexes with dense deformations and sparse parameters,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Morphometry of anatomical shape complexes with dense deformations and sparse parameters,
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a6122e0-2900-4cea-ac7a-d1e137b5a846 · outbound
This paper cites A level set model for image classification,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes A level set model for image classification,
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 873f32f9-4e27-47fb-ad26-d07726c47403 · outbound
This paper cites Framework for the statistical shape analysis of brain structures using spharm-pdm,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Framework for the statistical shape analysis of brain structures using spharm-pdm,
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e5f1ad13-983f-4a92-999b-5768caebb734 · outbound
This paper cites Statistical models of sets of curves and surfaces based on currents,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Statistical models of sets of curves and surfaces based on currents,
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 751cde0e-fb14-4c61-bda8-f149bf2f4b0d · outbound
This paper cites Shape modeling and analysis with entropy-based particle systems,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Shape modeling and analysis with entropy-based particle systems,
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bf3eedd4-dc3d-4be4-9f21-9a587a2ff6ad · outbound
This paper cites Particle-based shape analysis of multi-object complexes,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Particle-based shape analysis of multi-object complexes,
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 580e00a1-b2b8-4d94-abd9-7963d91a06c7 · outbound
This paper cites Computational anatomy for multi-organ analysis in medical imaging: A review,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Computational anatomy for multi-organ analysis in medical imaging: A review,
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 03295d66-9914-4815-81ff-6f72590366c0 · outbound
This paper cites Mesh2ssm: From surface meshes to statis- tical shape models of anatomy,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Mesh2ssm: From surface meshes to statis- tical shape models of anatomy,
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 04f691fe-b058-4f3b-b0b4-ec50b690785e · outbound
This paper cites Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 444af339-e80d-4b1c-bdd3-8dd7d2f2c68f · outbound
This paper cites Landmark-free statistical shape modeling via neural flow deformations,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Landmark-free statistical shape modeling via neural flow deformations,
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1f21c3c6-1e48-4910-918a-c0458327792c · outbound
This paper cites Deepssm: A blueprint for image-to-shape deep learning models,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Deepssm: A blueprint for image-to-shape deep learning models,
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5162fe66-cdc7-44c3-a5b5-763dde9205cf · outbound
This paper cites Deepssm: a deep learning framework for statistical shape modeling from raw im- ages,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Deepssm: a deep learning framework for statistical shape modeling from raw im- ages,
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6cce819b-1627-4280-b2ac-90622191959a · outbound
This paper cites A universal and flexible framework for unsupervised statistical shape model learning,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes A universal and flexible framework for unsupervised statistical shape model learning,
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ce7b1b04-6d4f-4abc-87f3-99b1c8336964 · outbound
This paper cites An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation
Reference 26
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e66ec5e7-2e65-49a6-a9ae-774aaecc71b3 · outbound
This paper cites An introduction to variational autoencoders,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes An introduction to variational autoencoders,
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation e1e87980-c96d-46e6-a756-7a684bf94b4e · outbound
This paper cites Variational inference with normalizing flows,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Variational inference with normalizing flows,
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2280558b-b090-4793-864d-39aab69b7fff · outbound
This paper cites Density estimation using Real NVP.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Density estimation using Real NVP
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a761bee2-1a07-4dc6-a038-5fbed17296e0 · outbound
This paper cites Build- ing and testing a statistical shape model of the human ear canal,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Build- ing and testing a statistical shape model of the human ear canal,
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c150eb36-eb6a-4f0d-b9f4-76047e1d25c3 · outbound
This paper cites Statistical shape model generation using nonrigid deformation of a template mesh,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Statistical shape model generation using nonrigid deformation of a template mesh,
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 39c1cb0b-393d-4dff-9ef0-93b689ecfe13 · outbound
This paper cites Deformable models in medical image analysis,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Deformable models in medical image analysis,
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9b8dac08-2176-4ccf-ada8-ab7da5e86d25 · outbound
This paper cites Shapeworks: Particle-based shape correspondence and visualization software,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Shapeworks: Particle-based shape correspondence and visualization software,
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9920de4b-7ec6-4b6e-87d7-064e2e1ad3e2 · outbound
This paper cites Entropy-based particle correspondence for shape populations,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Entropy-based particle correspondence for shape populations,
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation f7f3ce62-fdba-4424-be43-927fd31b0086 · outbound
This paper cites From images to probabilistic anatomical shapes: A deep variational bottleneck approach,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes From images to probabilistic anatomical shapes: A deep variational bottleneck approach,
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e47462a5-8f51-4be4-9f51-6e6e406132cd · outbound
This paper cites Dpc: Unsupervised deep point correspondence via cross and self construction,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Dpc: Unsupervised deep point correspondence via cross and self construction,
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c093735a-e4fa-42cb-b0ed-ae1908d75abf · outbound
This paper cites Dynamic graph cnn for learning on point clouds,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Dynamic graph cnn for learning on point clouds,
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation 323ec78d-0a53-4707-a464-26aeb05b844a · outbound
This paper cites Unsupervised learning of intrinsic structural representation points,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Unsupervised learning of intrinsic structural representation points,
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d7a7909b-afa5-421e-87a3-dd332b171b1a · outbound
This paper cites ShapeNet: An Information-Rich 3D Model Repository.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes ShapeNet: An Information-Rich 3D Model Repository
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20bd3ec8-4d1a-4144-b3b7-9f5cce804f9a · outbound
This paper cites 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction,
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3d15593a-2376-4214-b1ae-c33aa93f6add · outbound
This paper cites Graph convolutional networks: a comprehensive review,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Graph convolutional networks: a comprehensive review,
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d9154e7-bf2e-48a6-b554-28b3c1f574f3 · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Semi-Supervised Classification with Graph Convolutional Networks
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1439c1e-e6d4-4775-9482-3a331cae14e8 · outbound
This paper cites Meshcnn: a network with an edge,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Meshcnn: a network with an edge,
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2206d487-cf50-4bc8-b5c3-1b8b1570351a · outbound
This paper cites Convolutional neural networks on graphs with fast localized spectral filtering,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Convolutional neural networks on graphs with fast localized spectral filtering,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.915489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f30f6748-3e40-4101-b9da-445dcb606d5b · outbound
This paper cites Shapeflow: Learnable deformation flows among 3d shapes,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Shapeflow: Learnable deformation flows among 3d shapes,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.900661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 57fd81d3-706e-49ca-a1d4-890362d0cff8 · outbound
This paper cites Im-net: Learning implicit fields for generative shape model- ing,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Im-net: Learning implicit fields for generative shape model- ing,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.884749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ac4d9784-1bd9-4fd8-adc1-7e3bee4e71bc · outbound
This paper cites Fixing a broken elbo,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Fixing a broken elbo,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.869234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11ac7ba8-25d8-4682-ab87-08bb32f90cf7 · outbound
This paper cites Learning continuous normalizing flows for faster convergence to target distribution via ascent regularizations,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Learning continuous normalizing flows for faster convergence to target distribution via ascent regularizations,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.853464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fd5c15c8-08e0-4946-bd5e-924afda5ab1b · outbound
This paper cites dpvaes: Fixing sample generation for regularized vaes,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes dpvaes: Fixing sample generation for regularized vaes,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.837933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e812ec21-e6ea-4438-9a3b-d32f9f658074 · outbound
This paper cites A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:44:04.543663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e868410a-d120-47f4-9b87-852d25495512 · outbound
This paper cites Abdomenct-1k: Is abdominal organ segmentation a solved problem?.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Abdomenct-1k: Is abdominal organ segmentation a solved problem?
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.821731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a727f666-a4f2-4a05-9a83-d0634c1b2df7 · outbound
This paper cites Unsupervised shape correspondence estimation for anatomi- cal shapes,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Unsupervised shape correspondence estimation for anatomi- cal shapes,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.803952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a3d72b59-ba2a-4082-8ed5-1717fdb03112 · outbound
This paper cites Structural and functional remodeling of the left atrium: clinical and therapeutic im- plications for atrial fibrillation,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Structural and functional remodeling of the left atrium: clinical and therapeutic im- plications for atrial fibrillation,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.786903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f82a05ec-d329-4099-8dc1-40f0c6c7f7a3 · outbound
This paper cites Liver cirrhosis: relationship between fibrosis-associated hepatic morphological changes and portal hemo- dynamics using four-dimensional flow magnetic resonance imaging,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Liver cirrhosis: relationship between fibrosis-associated hepatic morphological changes and portal hemo- dynamics using four-dimensional flow magnetic resonance imaging,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.771101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ef9ecc3-5d25-4a2d-b0d1-fb3c1285497d · outbound
This paper cites Verse: a vertebrae labelling and segmentation benchmark for multi-detector ct images,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Verse: a vertebrae labelling and segmentation benchmark for multi-detector ct images,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.755046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4cac24ed-e6b0-4ff0-bff4-d7b22d501960 · outbound
This paper cites Diffcd: A symmetric differentiable chamfer distance for neural implicit surface fitting.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Diffcd: A symmetric differentiable chamfer distance for neural implicit surface fitting
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.738368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a08de07c-605d-4a20-a3cb-e2bf39cc4518 · outbound
This paper cites Neural-imls: Self-supervised implicit moving least-squares network for surface reconstruction,.
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Neural-imls: Self-supervised implicit moving least-squares network for surface reconstruction,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:44:04.721249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation 2cd8e367-a961-46e0-9557-bef621bc2f75 · inbound
MorphoFlow: Sparse-Supervised Generative Shape Modeling with Adaptive Latent Relevance cites this paper.
MorphoFlow: Sparse-Supervised Generative Shape Modeling with Adaptive Latent Relevance Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:11:01.072202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation efc67ea5-1774-4a89-bc63-e61c772b2790 · inbound
SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp cites this paper.
SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T01:08:33.453029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.