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Paper Citation Record · LEDGER

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures

As of 16 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2412.20608.

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

pith.paper-citation-record.v1
2412.20608 v1

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measured 57 of 57 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 47df0e6f-5198-4a4c-95a2-fcc94d2c2af3 · outbound

This paper cites Crowdsourcing the creation of image segmentation algorithms for connec- tomics.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Crowdsourcing the creation of image segmentation algorithms for connec- tomics

Reference 1

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Observation ca5dac74-0667-497d-895d-2f56c53176a9 · outbound

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

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures V oxelmorph: a learning framework for deformable medical image registration

Reference 2

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Observation 39c919f3-a279-4b0e-ad3f-20d8d98a645e · outbound

This paper cites Cellprofiler: image analysis software for identifying and quantifying cell phenotypes.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Cellprofiler: image analysis software for identifying and quantifying cell phenotypes

Reference 3

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Observation 4cf29de3-c160-4a61-a7bf-2ce948452731 · outbound

This paper cites An introduction to topological data analysis: fundamental and practical aspects for data scientists.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures An introduction to topological data analysis: fundamental and practical aspects for data scientists

Reference 4

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Observation 75a5a500-e6de-4caa-9cbd-cfe1018282c1 · outbound

This paper cites A topolog- ical loss function for deep-learning based image segmenta- tion using persistent homology.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures A topolog- ical loss function for deep-learning based image segmenta- tion using persistent homology

Reference 5

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Observation 3729f44f-e42a-40c3-a507-95d357a03399 · outbound

This paper cites Lipschitz functions have l p-stable persis- tence.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Lipschitz functions have l p-stable persis- tence

Reference 6

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Observation 344dae2d-0a0e-459f-ab94-b8a9c725b057 · outbound

This paper cites Deformable convolutional networks.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Deformable convolutional networks

Reference 7

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Observation d08e13c9-0676-4460-9d1e-d9b703e75bec · outbound

This paper cites Deu-net 2.0: Enhanced deformable u-net for 3d cardiac cine mri segmen- tation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Deu-net 2.0: Enhanced deformable u-net for 3d cardiac cine mri segmen- tation

Reference 8

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Observation d2dbba49-9693-4b08-8793-ee04c2888380 · outbound

This paper cites Topological per- sistence and simplification.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topological per- sistence and simplification

Reference 9

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Observation 877e94b5-e03b-4433-a2cc-a211daa7290a · outbound

This paper cites Metamedseg: volumetric meta- learning for few-shot organ segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Metamedseg: volumetric meta- learning for few-shot organ segmentation

Reference 10

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Observation 03ac822a-70c1-42d6-b3de-d6b890751dbc · outbound

This paper cites Y-net: A spatiospectral dual-encoder network for medical image segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Y-net: A spatiospectral dual-encoder network for medical image segmentation

Reference 11

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Observation d65430f0-df90-4d6d-9a1f-2d7c97179559 · outbound

This paper cites Learn- ing to learn in medical applications: A journey through op- timization.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Learn- ing to learn in medical applications: A journey through op- timization

Reference 12

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This paper cites A user’s guide to discrete morse theory.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures A user’s guide to discrete morse theory

Reference 13

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Observation 77504861-ac87-4c44-b19e-924f5269be8b · outbound

This paper cites An ensemble classification-based approach applied to retinal blood vessel segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures An ensemble classification-based approach applied to retinal blood vessel segmentation

Reference 14

Resolution
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Observation 2cf30bd7-0e27-4541-81f3-c0d8479755e2 · outbound

This paper cites Learning topological interactions for multi-class medical image segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Learning topological interactions for multi-class medical image segmentation

Reference 15

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Observation 20f67c8b-0de7-4e3b-8f2b-d03643a836da · outbound

This paper cites Topology-aware uncertainty for image seg- mentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topology-aware uncertainty for image seg- mentation

Reference 16

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Observation fd9b96a1-6cd7-4beb-9341-e3487072c010 · outbound

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

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 17

Resolution
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Observation 837aa5f0-d374-4e23-9dc3-b1e25157779c · outbound

This paper cites Swinunetr-v2: Stronger swin transformers with stagewise convolutions for 3d med- ical image segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Swinunetr-v2: Stronger swin transformers with stagewise convolutions for 3d med- ical image segmentation

Reference 18

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Observation 7c8772b7-6d00-42e2-a483-06dad19a5fb4 · outbound

This paper cites Deep learning with topological signatures.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Deep learning with topological signatures

Reference 19

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Observation 1a62c5e8-c9a0-40f2-bf36-39f1acb8c1ad · outbound

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Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topological Graph Neural Networks

Reference 20

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Observation 266e8f7c-5e8a-4466-96f9-111b37d22abc · outbound

This paper cites Structure-aware image segmentation with ho- motopy warping.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Structure-aware image segmentation with ho- motopy warping

Reference 21

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Observation 66d6f5c8-5322-46b6-9379-9b109a88d107 · outbound

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Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topology-preserving deep image segmentation

Reference 22

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Observation 4736d6ae-5674-436e-9952-1322833de9d9 · outbound

This paper cites Topology-Aware Segmentation Using Discrete Morse Theory.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topology-Aware Segmentation Using Discrete Morse Theory

Reference 23

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Observation 66a1d6c1-4b43-428c-94da-51d32cbb224b · outbound

This paper cites Dunet: A deformable network for retinal vessel segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Dunet: A deformable network for retinal vessel segmentation

Reference 24

Resolution
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Observation df34bb17-4021-4f9c-bc53-3ba62d110748 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Semi-Supervised Classification with Graph Convolutional Networks

Reference 25

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Observation 66d038a8-ff14-4ac9-9aa6-18d6e6b19953 · outbound

This paper cites Full-resolution net- work and dual-threshold iteration for retinal vessel and coro- nary angiograph segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Full-resolution net- work and dual-threshold iteration for retinal vessel and coro- nary angiograph segmentation

Reference 26

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Observation 9bfdc7f1-5aba-4ac0-b9ab-0da555f9fb69 · outbound

This paper cites Annotated high-throughput microscopy image sets for validation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Annotated high-throughput microscopy image sets for validation

Reference 27

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Observation 3ae036b6-fa8e-4b0d-9e52-b7b61c3dae53 · outbound

This paper cites Comparing clusterings—an information based distance.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Comparing clusterings—an information based distance

Reference 28

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Observation 1a73bd8f-c8c7-4737-bf62-adb99c6c2acc · outbound

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

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 25e78e2b-6fa7-4fd9-9257-f8960e982a2e · outbound

This paper cites Topological autoencoders.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topological autoencoders

Reference 30

Resolution
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fc6bc466-8ae0-4804-b5c0-67365e46c111 · outbound

This paper cites Visa-fss: A volume-informed self su- pervised approach for few-shot 3d segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Visa-fss: A volume-informed self su- pervised approach for few-shot 3d segmentation

Reference 31

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Source-reported events for the cited work

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Observation 8e2e31b0-86b7-44bf-88bb-eda33d321ce9 · outbound

This paper cites Adap- tive topological feature via persistent homology: Filtration learning for point clouds.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Adap- tive topological feature via persistent homology: Filtration learning for point clouds

Reference 32

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Source-reported events for the cited work

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Observation a6da8b11-9c08-4d02-98d2-d3ca7514817f · outbound

This paper cites Dynamic snake convolution based on topo- logical geometric constraints for tubular structure segmenta- tion.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Dynamic snake convolution based on topo- logical geometric constraints for tubular structure segmenta- tion

Reference 33

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Source-reported events for the cited work

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Observation 46bf49b4-876a-43a6-9b43-503016388717 · outbound

This paper cites Uncovering the topology of time-varying fmri data using cubical persistence.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Uncovering the topology of time-varying fmri data using cubical persistence

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.175901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.673719Z digest=sha256:32ac69ef8083354ff67427fa3d2bb1f81c31137ccfb53e269cbd0556371d93a4

Observation 5ca16f22-1a49-45e2-b712-bfdcfd0d6aa2 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures U- net: Convolutional networks for biomedical image segmen- tation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.162975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.677786Z digest=sha256:19e5cba1afc34de7d8e34fb34c165521e542e9d34addfcdaf7115db8fa06e509

Observation cb0a6948-2ecc-427b-a536-9ab11e1a7724 · outbound

This paper cites Few-shot segmentation of 3d medical images.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Few-shot segmentation of 3d medical images

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.149715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.682496Z digest=sha256:b0f212f6c3e95db6e2c33357a63ae433b4af9eaa2b7a42b02b13110dbe0c9d99

Observation c2893728-9fe3-47e3-a006-7addc7d01cb9 · outbound

This paper cites Topology preserving compositionality for robust medical image segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topology preserving compositionality for robust medical image segmentation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.135829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.687187Z digest=sha256:c95d8a610b923325bf2d8fc04a59d3c4fd36df9bee9db6a748b01a873e581b90

Observation 6602e9e2-f1f9-412a-ac89-5384fdbc7cba · outbound

This paper cites Centerline boundary dice loss for vascular segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Centerline boundary dice loss for vascular segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.122330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.691307Z digest=sha256:c3987d5bb8b8b6e4551ecffebfcb49f00e9ba18e2179aac7972e27e804b65bd4

Observation e4ac0cee-362b-4846-bbfd-1ba64c0ae6d7 · outbound

This paper cites Deep vessel segmentation by learning graph- ical connectivity.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Deep vessel segmentation by learning graph- ical connectivity

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.109581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.695456Z digest=sha256:4cdf597d1af059920b95e31b2d94940f9412649f0702a51bd0a2cb2019a62cb6

Observation 2baef78f-0383-4d5e-b539-cf198fa4d490 · outbound

This paper cites cldice-a novel topology-preserving loss function for tubular structure seg- mentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures cldice-a novel topology-preserving loss function for tubular structure seg- mentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.096201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.699386Z digest=sha256:a8891234ae9b85fe8d008c80ec7a5df94d28f52586d5090bd087b6db15890191

Observation a0662a2c-a196-44d9-9c71-d2df0df5b1ce · outbound

This paper cites Topologically faithful im- age segmentation via induced matching of persistence bar- codes.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topologically faithful im- age segmentation via induced matching of persistence bar- codes

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.081865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.703826Z digest=sha256:53671a1dd8a015702cf4f311edca98f18db83e422ff2e7fd6a6eb2af376fdc5a

Observation 0e6bd3e8-f2c5-4dae-be10-143ae41351d2 · outbound

This paper cites Markov processes over denu- merable products of spaces, describing large systems of au- tomata.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Markov processes over denu- merable products of spaces, describing large systems of au- tomata

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.068441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.707725Z digest=sha256:c8d52f91b9eb08f74e9ddb750c0392817a3e1046b126f12a71e4e7b2e762310c

Observation 93d60fe0-9085-4672-81de-0f5df595991a · outbound

This paper cites ¨Uber den h ¨oheren zusammenhang kom- pakter r¨aume und eine klasse von zusammenhangstreuen ab- bildungen.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures ¨Uber den h ¨oheren zusammenhang kom- pakter r¨aume und eine klasse von zusammenhangstreuen ab- bildungen

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.055134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.711712Z digest=sha256:7641414d7b921c92aec38616618ae0345e218c2074045c2c93270d494eda6465

Observation 7b2a7cbb-68ac-4535-9f1f-ab420d155bd2 · outbound

This paper cites Ta-net: Topology-aware network for gland segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Ta-net: Topology-aware network for gland segmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.041239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.717116Z digest=sha256:d45cc471b7a059fef23870896ae9532b1ba5be6f30ddd10da63865c2e421ba3b

Observation 7ebfe1f8-8856-4e5f-b0af-43c7e78d67e0 · outbound

This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.027974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.722121Z digest=sha256:e45113b21529f6ee8d4d1d79c08cd4874253975ec65e437a95a76cd0ceef13c8

Observation 038209ff-283e-4793-b320-d35cbb4220aa · outbound

This paper cites Topological data analysis.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Topological data analysis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.014501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.726589Z digest=sha256:0f7f939dcedcb5061572eb334caffc2266bf3415a2322f6b75a1daa44c34cd26

Observation 079c0195-7a98-4512-b1c4-0254f192036f · outbound

This paper cites Teds-net: enforcing diffeomor- phisms in spatial transformers to guarantee topology preser- vation in segmentations.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Teds-net: enforcing diffeomor- phisms in spatial transformers to guarantee topology preser- vation in segmentations

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:26.000692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.731478Z digest=sha256:8190e0753b7aa54c434cf82c08185fd602904994ec717c2a6ab5172e33aafaf7

Observation c2e62a13-ea4e-4992-99b1-06a7afea8719 · outbound

This paper cites Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:19:25.817367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.735653Z digest=sha256:d205bc3a6d442c7f29b0055de9f12be28ae269c26f66a134853df5ea279d3666

Observation 6ae89ac8-91b1-4b2a-acb6-d892ac415669 · outbound

This paper cites Dcu- net: A deformable convolutional neural network based on cascade u-net for retinal vessel segmentation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Dcu- net: A deformable convolutional neural network based on cascade u-net for retinal vessel segmentation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.986791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.740980Z digest=sha256:ab4cc862aebb207bbd98215dab1c91cfa8093e0f22da4d4611860500704353d4

Observation ee5febe6-f0b6-4324-9785-25bb30e1d618 · outbound

This paper cites Inverse distance aggregation for federated learn- ing with non-iid data.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Inverse distance aggregation for federated learn- ing with non-iid data

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.973440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.745026Z digest=sha256:fcfb92a548ab4245f22e3cb9936075c11b7ec27d27e950d3a3c036522a595495

Observation b566c157-543f-4b74-9eb5-d9724f6c93ef · outbound

This paper cites Anatomy-aware masking for inpainting in medical imaging.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Anatomy-aware masking for inpainting in medical imaging

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.959346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.749174Z digest=sha256:8627b74251cf5cdb4788d0d1ae968add818faeb702f84a20f6aff017090690d3

Observation 28c0f04c-9f85-403e-9843-3d97aa0aaf50 · outbound

This paper cites Transform- ers pay attention to convolutions leveraging emerging prop- erties of vits by dual attention-image network.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Transform- ers pay attention to convolutions leveraging emerging prop- erties of vits by dual attention-image network

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.944213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.753444Z digest=sha256:6749188b3fd3a67cc299ee50e89808978a4b0da94e3fc90e08455ac9d3e0f3d7

Observation 5f226ef3-41c2-4111-9347-8fcbcc61e4d7 · outbound

This paper cites Scope: Structural continuity preservation for retinal vessel segmen- tation.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Scope: Structural continuity preservation for retinal vessel segmen- tation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.929184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.757394Z digest=sha256:06d25b7399a59d0d2fa300c8900a7c1931c59524ed4ebd36b26f362c129ddf83

Observation 7c9d990b-636e-447b-a3dd-786ba2e8a614 · outbound

This paper cites Learning topology-agnostic eeg representations with geometry-aware modeling.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Learning topology-agnostic eeg representations with geometry-aware modeling

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.914490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.761366Z digest=sha256:869a1fdb0a3d68538cce1ce7576b55a80a245e0ffd3bd0e059cb485cb301247f

Observation cb24f07c-33b2-4e3c-93fd-12d6329e40c8 · outbound

This paper cites Amonuseg: A histological dataset for african multi-organ nuclei semantic segmenta- tion.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Amonuseg: A histological dataset for african multi-organ nuclei semantic segmenta- tion

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.898454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.766484Z digest=sha256:3809121bd0cb683000a0604dba9425ed9a22e000ab312d9045b3e90d237f0caf

Observation f18cc7da-3a8e-4968-813f-7cb4118f5288 · outbound

This paper cites Study group learning: Improving retinal vessel segmentation trained with noisy labels.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Study group learning: Improving retinal vessel segmentation trained with noisy labels

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:25.884215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:25.770488Z digest=sha256:76b8e1a9044cc964fa533fa6d3b371f996d235b891b9d7757182e8135c60ec5b

Observation 1ad3bf55-f979-4c59-9e24-60f3fa808142 · outbound

This paper cites De- formable convnets v2: More deformable, better results.

Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures De- formable convnets v2: More deformable, better results

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:25.774681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:25.774681Z digest=sha256:6abe7ec2a4998d48a7e528857ff2757a3bed7da5747ca1daeb5529ef14fae54f

Pith citing papers

No inbound Pith citation observations are available.