Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers | Paper Citation Record

Observation 93dea1f5-7b42-4411-8606-c4d1a8718db7 · outbound

This paper cites Spinal analysis using a three-dimensional radiographic technique.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Spinal analysis using a three-dimensional radiographic technique

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.906091Z

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.

Observation 37de47b7-b976-46ae-ba54-e201bfb241bb · outbound

This paper cites Fundamentals of computerized tomography: image reconstruction from projections.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Fundamentals of computerized tomography: image reconstruction from projections

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.885649Z

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.

Observation 175bfebf-7789-4611-920c-d48a7967b3df · outbound

This paper cites 3d reconstruction from multi-view medical x-ray images–review and evalua- tion of existing methods.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers 3d reconstruction from multi-view medical x-ray images–review and evalua- tion of existing methods

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.851155Z

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.

Observation ed2e6eed-30a9-4ad2-905d-152d044b9743 · outbound

This paper cites X2ct-gan: reconstruct- ing ct from biplanar x-rays with generative adversar- ial networks.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers X2ct-gan: reconstruct- ing ct from biplanar x-rays with generative adversar- ial networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.816202Z

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.

Observation e1eefd24-8eef-4b3f-95c7-4a5f9772d232 · outbound

This paper cites Benchmarking encoder-decoder architectures for biplanar x-ray to 3d bone shape reconstruction.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Benchmarking encoder-decoder architectures for biplanar x-ray to 3d bone shape reconstruction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.786836Z

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.

Observation 3b6147cf-46ae-4b03-8639-e802baba793c · outbound

This paper cites Medical imaging and nuclear 11 medicine: a lancet oncology commission.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Medical imaging and nuclear 11 medicine: a lancet oncology commission

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.756267Z

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.

Observation fec27e18-95e6-4189-a3c1-a94e48612506 · outbound

This paper cites Defining the diagnostic divide: an analysis of registered radiological equip- ment resources in a low-income african country.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Defining the diagnostic divide: an analysis of registered radiological equip- ment resources in a low-income african country

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.690826Z

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.

Observation 9ef0f100-25e1-49a2-b8a8-4fa056fd90c4 · outbound

This paper cites Toward au- tomated 3d spine reconstruction from biplanar radio- graphs using cnn for statistical spine model fitting.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Toward au- tomated 3d spine reconstruction from biplanar radio- graphs using cnn for statistical spine model fitting

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.635664Z

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.

Observation 7822580a-d38f-4376-b8a2-4c0327204f88 · outbound

This paper cites The eos™ imaging system and its uses in daily orthopaedic prac- tice.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers The eos™ imaging system and its uses in daily orthopaedic prac- tice

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.569002Z

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.

Observation d78da80e-4d8d-4873-a05c-5e0c51ac3725 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Imagenet classification with deep convolutional neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.524158Z

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.

Observation 6279e1a9-2026-4d65-bdde-1517572418f1 · outbound

This paper cites Deep residual learning for image recognition.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Deep residual learning for image recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:43.338084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8981626c-f1b3-434c-b5e1-516bd8f4182a · outbound

This paper cites Attention is all you need.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Attention is all you need

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:43.348946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad43f679-95a2-4365-b550-7ae15045692f · outbound

This paper cites 2d-to-3d: A review for computational 3d image reconstruction from x-ray images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers 2d-to-3d: A review for computational 3d image reconstruction from x-ray images

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:10:43.355363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 733714be-f601-45eb-93f4-32b6d5a1845a · outbound

This paper cites 3d reconstruc- tion method from biplanar radiography using non- stereocorresponding points and elastic deformable meshes.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers 3d reconstruc- tion method from biplanar radiography using non- stereocorresponding points and elastic deformable meshes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.454833Z

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.

Observation 6262b2c3-9c05-4b66-a93e-71df0c6bf9f7 · outbound

This paper cites Three-dimensional surface rendering reconstruc- tion of scoliotic vertebrae using a non stereo- corresponding points technique.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Three-dimensional surface rendering reconstruc- tion of scoliotic vertebrae using a non stereo- corresponding points technique

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.415931Z

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.

Observation 8e96d14b-54e3-464f-a086-b73b4c03fcc8 · outbound

This paper cites 3d/2d reg- istration and segmentation of scoliotic vertebrae us- ing statistical models.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers 3d/2d reg- istration and segmentation of scoliotic vertebrae us- ing statistical models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.384762Z

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.

Observation fee4e7d9-b1b6-48c6-8940-6cd6dc0255ce · outbound

This paper cites an unresolved cited work.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Unresolved cited work

Reference 17

Resolution: malformed identifier; doi_truncated, observed 2026-08-10T21:10:44.270702Z

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.

Observation 6cfc2009-d323-4c73-96f9-f7974a0296f5 · outbound

This paper cites 3d reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy x-ray ab- sorptiometry.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers 3d reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy x-ray ab- sorptiometry

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.326182Z

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.

Observation eef49732-4ce1-4bbf-a571-9a3c0c205455 · outbound

This paper cites 3d femur model reconstruction from biplane x-ray images: a novel method based on laplacian surface deformation.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers 3d femur model reconstruction from biplane x-ray images: a novel method based on laplacian surface deformation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.297063Z

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.

Observation 0d1ce73f-8fe4-4dfe-88f7-96468b6e9a8c · outbound

This paper cites Automatic seg- mentation of wrist bones in ct using a statistical wrist shape + pose model.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Automatic seg- mentation of wrist bones in ct using a statistical wrist shape + pose model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.249446Z

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.

Observation fb4d32b1-b1c0-4544-8656-f2e1579a80e9 · outbound

This paper cites Revisit- ing contour-driven and knowledge-based deformable models: Application to 2d-3d proximal femur recon- struction from x-ray images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Revisit- ing contour-driven and knowledge-based deformable models: Application to 2d-3d proximal femur recon- struction from x-ray images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.213575Z

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.

Observation f18ece4f-7042-4d0d-8941-343222531308 · outbound

This paper cites Oral-3d: Reconstructing the 3d structure of oral cavity from panoramic x-ray.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Oral-3d: Reconstructing the 3d structure of oral cavity from panoramic x-ray

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.185301Z

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.

Observation 44c24cce-d4a2-495e-8a15-1905fa721b10 · outbound

This paper cites Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learn- ing.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learn- ing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.141423Z

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.

Observation fafc4246-8447-414a-9ea3-24ce167c796f · outbound

This paper cites X-ctrsnet: 3d 12 cervical vertebra ct reconstruction and segmentation directly from 2d x-ray images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers X-ctrsnet: 3d 12 cervical vertebra ct reconstruction and segmentation directly from 2d x-ray images

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.108806Z

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.

Observation ec4f3739-8208-445a-a73e-80ccdee0caf4 · outbound

This paper cites Perspective projection-based 3d ct reconstruction from biplanar x-rays.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Perspective projection-based 3d ct reconstruction from biplanar x-rays

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.086434Z

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.

Observation 371086c7-0f5a-4582-90b6-acf5c3b8a89c · outbound

This paper cites End- to-end convolutional neural network for 3d recon- struction of knee bones from bi-planar x-ray images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers End- to-end convolutional neural network for 3d recon- struction of knee bones from bi-planar x-ray images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.066550Z

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.

Observation 12e7b8f3-bc61-4527-887d-94cea0858397 · outbound

This paper cites 2d–3d reconstruction of distal fore- arm bone from actual x-ray images of the wrist using convolutional neural networks.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers 2d–3d reconstruction of distal fore- arm bone from actual x-ray images of the wrist using convolutional neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.043515Z

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.

Observation 1090f30e-2d18-45a6-83f5-d276493379ad · outbound

This paper cites Three-dimensional image volumes from two-dimensional digitally reconstructed radiographs: A deep learning approach in lower limb ct scans.Med- ical Physics, 48(5):2448–2457, 2021.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Three-dimensional image volumes from two-dimensional digitally reconstructed radiographs: A deep learning approach in lower limb ct scans.Med- ical Physics, 48(5):2448–2457, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:45.000315Z

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.

Observation a30ce38b-c682-4a9b-8e24-74d0cdaf73b0 · outbound

This paper cites In- ferring the 3d standing spine posture from 2d radio- graphs.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers In- ferring the 3d standing spine posture from 2d radio- graphs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.977966Z

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.

Observation 09ad892c-fd20-4367-8126-b1989e42716e · outbound

This paper cites Image-to-graph convolutional net- work for deformable shape reconstruction from a sin- gle projection image.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Image-to-graph convolutional net- work for deformable shape reconstruction from a sin- gle projection image

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.955358Z

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.

Observation a8d05bdc-e6b5-422a-aab0-ddc30cea9daa · outbound

This paper cites Bx2s-net: Learning to reconstruct 3d spinal structures from bi- planar x-ray images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Bx2s-net: Learning to reconstruct 3d spinal structures from bi- planar x-ray images

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.930956Z

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.

Observation 31d7c6ad-4631-4bb2-82ca-567458d7a1af · outbound

This paper cites Multi-view vertebra localization and identification from ct images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Multi-view vertebra localization and identification from ct images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.905790Z

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.

Observation 2b722e9b-356c-4ba5-9da8-aa1bc258137a · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Swin transformer: Hierarchical vision transformer using shifted windows

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:43.529477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0df5ba-943a-4023-a8cc-a9fdb2fff907 · outbound

This paper cites U-net: Convolutional networks for biomedical im- age segmentation.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers U-net: Convolutional networks for biomedical im- age segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.865365Z

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.

Observation c8b3504a-4462-4094-ba8f-ea95080a1852 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.838561Z

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.

Observation 26dd1b61-6927-49af-aada-d628dcdaa368 · outbound

This paper cites Swinmm: masked multi-view with swin transformers for 3d medical image segmen- tation.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Swinmm: masked multi-view with swin transformers for 3d medical image segmen- tation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.806792Z

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.

Observation 2e313ae5-471c-4c1e-91a5-cc9adeaa1140 · outbound

This paper cites Self-supervised pre-training of swin transformers for 3d medical image analysis.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Self-supervised pre-training of swin transformers for 3d medical image analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.783905Z

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.

Observation 2b8ece56-3797-4115-9546-645eed358561 · outbound

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

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.760535Z

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.

Observation b1afc676-8380-4c13-89be-b4403267ae59 · outbound

This paper cites A mathematical theory of communication.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers A mathematical theory of communication

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.728403Z

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.

Observation d5f7ec81-d90d-451a-b0f7-8812f3e37daa · outbound

This paper cites Deep mutual learning.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Deep mutual learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.692869Z

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.

Observation 6ba590c5-38c3-4302-a0a0-2fcea2986c45 · outbound

This paper cites Ct imaging based digi- tally reconstructed radiographs and their application in brachytherapy.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Ct imaging based digi- tally reconstructed radiographs and their application in brachytherapy

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.662593Z

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.

Observation 540b42eb-a940-42d5-905d-e314b6a51947 · outbound

This paper cites Totalsegmentator: Robust segmen- tation of 104 anatomic structures in ct images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Totalsegmentator: Robust segmen- tation of 104 anatomic structures in ct images

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.617933Z

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.

Observation 68f40a45-b15e-44db-8648-d23186342c07 · outbound

This paper cites CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:43.619298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aef00813-14ba-4688-b40e-62af276877da · outbound

This paper cites Verse: a vertebrae labelling and segmenta- tion benchmark for multi-detector ct images.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Verse: a vertebrae labelling and segmenta- tion benchmark for multi-detector ct images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.585160Z

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.

Observation 567185f5-6a04-48e9-aad0-72bf0a94a13d · outbound

This paper cites Ribseg v2: A large-scale benchmark for rib labeling and anatomical centerline extraction.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Ribseg v2: A large-scale benchmark for rib labeling and anatomical centerline extraction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.539947Z

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.

Observation b6ee1b4d-24ff-4ce3-b28a-55c997809829 · outbound

This paper cites Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:10:44.004754Z

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.

Observation bcb4e6e2-7f12-44de-8f53-52cf3de91cd8 · outbound

This paper cites Automated method for computing the morpho- logical and clinical parameters of the proximal fe- mur using heuristic modeling techniques.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Automated method for computing the morpho- logical and clinical parameters of the proximal fe- mur using heuristic modeling techniques

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.494746Z

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.

Observation bcfc995e-0ae4-47ca-ae4d-31c118280c4e · outbound

This paper cites A robust method for auto- matic identification of landmarks on surface models of the pelvis.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers A robust method for auto- matic identification of landmarks on surface models of the pelvis

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.459258Z

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.

Observation 951abdee-5664-4fec-8a40-723e3cdfc870 · outbound

This paper cites A new method for the automatic identification of the dimensional fea- tures of vertebrae.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers A new method for the automatic identification of the dimensional fea- tures of vertebrae

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.418378Z

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.

Observation 1a9170bc-ff02-483f-b765-73380b618757 · outbound

This paper cites Decoupled weight decay regularization.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Decoupled weight decay regularization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:43.698239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba57bb91-2698-46ed-9335-27855551e4e1 · outbound

This paper cites Learning a predictable and generative vector representation for objects.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Learning a predictable and generative vector representation for objects

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.355934Z

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.

Observation 4e6aaff9-9ebd-4a9c-841e-6ca98fca382d · outbound

This paper cites Using bi-planar x-ray images to reconstruct the spine structure by the convolution neural network.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Using bi-planar x-ray images to reconstruct the spine structure by the convolution neural network

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:44.330876Z

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.

Observation d497ca8a-16f6-47a6-a932-e2a68c14b995 · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Unetr: Transformers for 3d medical image segmentation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:43.738342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1bcf01e-f732-441a-9510-8d651ea6dc00 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers Attention U-Net: Learning Where to Look for the Pancreas

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:43.753895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers